Repository Analysis

NVIDIA/skills

AI agent skills published by NVIDIA

5.9 Low AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of NVIDIA/skills, a Python project with 2,492 GitHub stars. SynthScan v2.0 examined 843,712 lines of code across 3667 source files, recording 2996 pattern matches distributed across 20 syntactic categories. The overall adjusted score of 5.9 places this repository in the Low AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

5.9
Adjusted Score
5.9
Raw Score
100%
Time Factor
2026-07-14
Last Push
2.5K
Stars
Python
Language
843.7K
Lines of Code
3.7K
Files
3.0K
Pattern Hits
2026-07-14
Scan Date
0.01
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 3HIGH 34MEDIUM 768LOW 2191

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 2996 distinct pattern matches across 20 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Decorative Section Separators670 hits · 2208 pts
SeverityFileLineSnippetContext
MEDIUM…g/components/inference-nim-operator/scripts/install.sh18# ── Preflight ─────────────────────────────────────────────────────────────────COMMENT
MEDIUM…g/components/inference-nim-operator/scripts/install.sh21# ── 1. Verify GPUs ───────────────────────────────────────────────────────────COMMENT
MEDIUM…g/components/inference-nim-operator/scripts/install.sh25# ── 2. Add Helm repo ─────────────────────────────────────────────────────────COMMENT
MEDIUM…g/components/inference-nim-operator/scripts/install.sh30# ── 3. Create namespace ──────────────────────────────────────────────────────COMMENT
MEDIUM…g/components/inference-nim-operator/scripts/install.sh34# ── 4. Create NGC pull secret (if NGC_API_KEY is set) ────────────────────────COMMENT
MEDIUM…g/components/inference-nim-operator/scripts/install.sh47# ── 5. Install NIM Operator ──────────────────────────────────────────────────COMMENT
MEDIUM…g/components/inference-nim-operator/scripts/install.sh54# ── 6. Deploy NIMService instances ───────────────────────────────────────────COMMENT
MEDIUM…g/components/inference-nim-operator/scripts/install.sh238# ── 7. Verify ────────────────────────────────────────────────────────────────COMMENT
MEDIUM…s/inference-nim-operator/nims/qwen3-vl/nimservice.yaml81 # -----------------------------------------------------------------------------------------COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf41# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf43# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf50# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf52# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf4# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf6# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf69# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf71# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf118# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf120# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf192# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf194# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf251# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf253# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf275# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf277# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf299# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf301# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf335# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf337# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf379# =============================================================================COMMENT
MEDIUM…caling/components/cluster-azure/terraform/variables.tf381# =============================================================================COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf35# ── Resource Group ──────────────────────────────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf43# ── Virtual Network ─────────────────────────────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf92# ── NAT Gateway ─────────────────────────────────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf126# ── Network Security Groups ────────────────────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf177# ── Log Analytics + Container Insights ──────────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf203# ── AKS Cluster ─────────────────────────────────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf253# ── GPU Node Pool ───────────────────────────────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf282# ── PostgreSQL (private, delegated subnet) ──────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf344# ── Redis Cache ─────────────────────────────────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf395# ── Storage Account ─────────────────────────────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf476# ── Key Vault ───────────────────────────────────────────────────────────────COMMENT
MEDIUM…lient-scaling/components/cluster-azure/scripts/main.tf607# ── AI Foundry ──────────────────────────────────────────────────────────────COMMENT
MEDIUM.github/workflows/generate-skill-metadata.yml42 # ---------------------------------------------------------------------COMMENT
MEDIUM.github/workflows/generate-skill-metadata.yml44 # ---------------------------------------------------------------------COMMENT
MEDIUM.github/workflows/generate-skill-metadata.yml68 # ---------------------------------------------------------------------COMMENT
MEDIUM.github/workflows/generate-skill-metadata.yml70 # ---------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py56# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py88# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py112# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py142# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py243# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py319# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py375# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py425# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py647# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py737# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py778# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py847# ---------------------------------------------------------------------------COMMENT
MEDIUM.github/scripts/marketplace/generate-skill-metadata.py882# ---------------------------------------------------------------------------COMMENT
610 more matches not shown…
Hyper-Verbose Identifiers609 hits · 595 pts
SeverityFileLineSnippetContext
LOW…erences/optimization-report/scripts/validate_report.py126def validate_manifest_structure(manifest: Any) -> list[str]:CODE
LOW…erences/optimization-report/scripts/validate_report.py210def reconcile_target_coverage(report: Any, manifests: list[Any] | None = None) -> list[str]:CODE
LOW…d-validation-runner/scripts/usd_validation_executor.py175def get_validation_engine_cls() -> Any:CODE
LOW…d-validation-runner/scripts/usd_validation_executor.py494def subprocess_concept_runner(CODE
LOW…ltime-viewer/references/viewer-input-routing/README.md50def camera_button_from_ovstream(raw_button, ovstream) -> int | None:CODE
LOW…ltime-viewer/references/viewer-input-routing/README.md109 def set_viewport_input_active(self, active: bool) -> None:CODE
LOW…e-realtime-viewer/references/stage-hierarchy/README.md186def detect_root_prim_path_from_paths(paths: set[str]) -> str:CODE
LOW…time-viewer/references/transform-manipulator/README.md202def apply_world_transform_to_prim(stage, path, world_transform):CODE
LOW…e-realtime-viewer/references/camera-controls/README.md35def camera_button_from_ovstream(raw_button) -> int | None:CODE
LOW…e-realtime-viewer/references/camera-controls/README.md81def set_viewport_input_active(self, active: bool) -> None:CODE
LOW…e-realtime-viewer/references/camera-controls/README.md164def project_world_to_viewport(point, view, proj, image_rect, widget_origin):CODE
LOW…e-realtime-viewer/references/camera-controls/README.md177def pointer_is_near_selected_gizmo(screen_x, screen_y, selected_pivot):CODE
LOW…simready/references/omni-asset-validate/scripts/run.py121def dependency_blocked_report(CODE
LOW…simready/references/omni-asset-validate/scripts/run.py146def resolve_validator_command() -> tuple[list[str] | None, list[str], str]:CODE
LOW…simready/references/omni-asset-validate/scripts/run.py216def validate_with_asset_validator(CODE
LOW…nvert-to-usd/references/usd-convert-cad/scripts/run.py150def resolve_usd_convert_cad_root(explicit: Path | None) -> Path:CODE
LOW…nvert-to-usd/references/usd-convert-cad/scripts/run.py186def parse_upstream_cad_suffixes(upstream_root: Path) -> set[str] | None:CODE
LOW…nvert-to-usd/references/usd-convert-cad/scripts/run.py208def parse_format_info_suffixes(value: ast.AST) -> set[str] | None:CODE
LOW…nvert-to-usd/references/usd-convert-cad/scripts/run.py460def validate_upstream_usd_convert_cad(upstream_root: Path, log_path: Path) -> tuple[str | None, dict[str, Any] | None]:CODE
LOW…ferences/usd-convert-cad/scripts/check_dependencies.py43def resolve_usd_convert_cad_root(explicit: Path | None) -> Path:CODE
LOW…ferences/usd-convert-cad/scripts/check_dependencies.py124def check_upstream_validation(upstream_root: Path) -> dict[str, Any]:CODE
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py147def _resolve_service_extension_dir(CODE
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py235def _write_core_runner_script(output_directory: Path, source_asset: Path) -> Path:CODE
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py287def _result_success_and_message(result) -> tuple[bool, str]:STRING
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py329def _convert_with_core_instance(module_name: str, input_path: Path, output_path: Path, options: dict) -> tuple[bool, strSTRING
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py349def _convert_with_hoops_function(input_path: Path, output_path: Path, options: dict) -> tuple[bool, str]:STRING
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py575def convert_with_kit_app_template(CODE
LOW…rt-to-usd/references/usd-convert-gsplat/scripts/run.py126def resolve_usd_convert_gsplat_root() -> Path:CODE
LOW…rt-to-usd/references/usd-convert-gsplat/scripts/run.py137def resolve_gsplat_executable() -> str | None:CODE
LOW…rt-to-usd/references/usd-convert-gsplat/scripts/run.py143def parse_upstream_gsplat_suffixes(upstream_root: Path) -> set[str] | None:CODE
LOW…rt-to-usd/references/usd-convert-gsplat/scripts/run.py166def supported_gsplat_suffixes() -> set[str] | None:CODE
LOW…d-to-simready/references/convert-to-usd/scripts/run.py299def directory_inspection_report(source_directory: Path, output_directory: Path, error: str) -> ConversionReport:CODE
LOW…d-to-simready/references/convert-to-usd/scripts/run.py313def unsupported_directory_report(CODE
LOW…d-to-simready/references/convert-to-usd/scripts/run.py344def ambiguous_directory_report(CODE
LOW…d-to-simready/references/convert-to-usd/scripts/run.py452def malformed_converter_report(CODE
LOW…d-to-simready/references/convert-to-usd/scripts/run.py493def append_selection_warnings(report: ConversionReport, selected: ProbeResult, probes: list[ProbeResult]) -> ConversionRCODE
LOW…erences/content-agents/scripts/content_agent_client.py72def is_unresolved_service_asset_path(path: str) -> bool:CODE
LOW…erences/content-agents/scripts/content_agent_client.py610def _stage_physics_upload_asset(asset_path: Path) -> tuple[Path, dict[str, Any]]:STRING
LOW…erences/content-agents/scripts/content_agent_client.py614def _stage_material_upload_asset(asset_path: Path) -> tuple[Path, dict[str, Any]]:STRING
LOW…erences/content-agents/scripts/content_agent_client.py618def _inspect_usd_topology_external(asset_path: Path) -> dict[str, Any]:STRING
LOW…erences/content-agents/scripts/content_agent_client.py471def _is_unresolved_service_asset_path(path: str) -> bool:STRING
LOW…erences/content-agents/scripts/content_agent_client.py482def _stage_mdl_safe_upload_asset(asset_path: Path, label: str) -> tuple[Path, dict[str, Any]]:STRING
LOW…erences/content-agents/scripts/content_agent_client.py576def _stage_mdl_safe_upload_asset_external(asset_path: Path, label: str) -> tuple[Path, dict[str, Any]]:STRING
LOW…erences/content-agents/scripts/content_agent_client.py674def _is_transient_status_poll_error(exc: Exception) -> bool:STRING
LOW…erences/content-agents/scripts/content_agent_client.py694def _is_transient_artifact_error(exc: Exception) -> bool:STRING
LOW…erences/content-agents/scripts/content_agent_client.py714def _filename_from_content_disposition(value: str | None) -> str | None:STRING
LOW…erences/content-agents/scripts/content_agent_client.py907def _apply_physics_auto_optimizer(args: argparse.Namespace, topology: dict[str, Any]) -> dict[str, Any]:STRING
LOW…erences/content-agents/scripts/content_agent_client.py923def _apply_material_auto_optimizer(args: argparse.Namespace, topology: dict[str, Any]) -> dict[str, Any]:STRING
LOW…erences/content-agents/scripts/content_agent_client.py964def _convert_physics_output_to_usd(source_path: Path, output_path: Path) -> tuple[bool, str, Path]:STRING
LOW…erences/content-agents/scripts/content_agent_client.py1012def _is_material_zero_image_failure(report: dict[str, Any]) -> bool:STRING
LOW…erences/content-agents/scripts/content_agent_client.py1038def _maybe_retry_material_without_optimizer(report: dict[str, Any], args: argparse.Namespace) -> dict[str, Any] | None:STRING
LOW…erences/content-agents/scripts/content_agent_client.py1069def _is_physics_optimizer_failure(report: dict[str, Any]) -> bool:STRING
LOW…erences/content-agents/scripts/content_agent_client.py1086def _is_scene_optimizer_permission_failure(report: dict[str, Any]) -> bool:STRING
LOW…erences/content-agents/scripts/content_agent_client.py1091def _should_attempt_physics_scene_optimizer_repair(report: dict[str, Any]) -> bool:STRING
LOW…erences/content-agents/scripts/content_agent_client.py1102def _physics_scene_optimizer_container_candidates() -> list[str]:STRING
LOW…erences/content-agents/scripts/content_agent_client.py1112def _repair_physics_scene_optimizer_permissions() -> dict[str, Any]:STRING
LOW…erences/content-agents/scripts/content_agent_client.py1153def _maybe_repair_and_retry_physics_scene_optimizer(report: dict[str, Any], args: argparse.Namespace) -> dict[str, Any] STRING
LOW…erences/content-agents/scripts/content_agent_client.py1191def _maybe_retry_physics_without_optimizer(report: dict[str, Any], args: argparse.Namespace) -> dict[str, Any] | None:STRING
LOW…ntent-agents/scripts/content_agent_material_cleanup.py48def _is_probably_missing_local_mdl(path: str, resolved_path: str, layer_path: Path) -> bool:CODE
LOW…ntent-agents/scripts/content_agent_material_cleanup.py62def _shader_source_asset_records(shader_prim: Any, sdf_module: Any) -> list[dict[str, str]]:CODE
549 more matches not shown…
Over-Commented Block432 hits · 422 pts
SeverityFileLineSnippetContext
LOWcatalog-exceptions.yml1# Catalog exceptions — skills/ dirs allowed to exist WITHOUT aCOMMENT
LOW…s/inference-nim-operator/nims/qwen3-vl/nimservice.yaml1# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOW…mponents/inference-nim-operator/nims/qwen3-vl/pvc.yaml1# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOW…erence-nim-operator/nims/qwen3-vl/hf-download-job.yaml1# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOW…onents/inference-nim-operator/nims/qwen25-14b/pvc.yaml1# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOW…ence-nim-operator/nims/qwen25-14b/hf-download-job.yaml1# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOW…rence-nim-operator/nims/cosmos-predict/nimservice.yaml1# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOW…re/terraform/prerequisites/register-azure-providers.sh61 echo -n " "COMMENT
LOW…re/terraform/prerequisites/register-azure-providers.sh81# \033[m - reset to normalCOMMENT
LOW…lient-scaling/components/cluster-azure/scripts/main.tf1# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOW…lient-scaling/components/cluster-azure/scripts/main.tf521}COMMENT
LOW…omponents/cluster-azure/scripts/storage-class-nfs.yaml1# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOW…s/dali-dynamic-mode/evals/files/pipeline_to_convert.py1# Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOW…ugins/nvidia-skills/skills/aiq-research/scripts/aiq.py1#!/usr/bin/env python3COMMENT
LOWplugins.d/_defaults.yml21# interface.websiteURL is omitted by default — duplicates `homepage` forCOMMENT
LOWplugins.d/_defaults.yml41COMMENT
LOWplugins.d/nvidia-skills.yml61# Inherits from plugins.d/_defaults.yml:COMMENT
LOW.github/workflows/dco.yml1# SPDX-License-Identifier: Apache-2.0COMMENT
LOW.github/workflows/verify-authors.yml1# SPDX-License-Identifier: Apache-2.0COMMENT
LOW.github/workflows/generate-skill-metadata.yml1# SPDX-License-Identifier: Apache-2.0COMMENT
LOW.github/workflows/verify-content-integrity.yml1# SPDX-License-Identifier: Apache-2.0COMMENT
LOW.github/workflows/sync-skills.yml1# SPDX-License-Identifier: Apache-2.0COMMENT
LOW.github/workflows/sync-skills.yml141 if [ ! -s /tmp/rsynced-components.txt ]; thenCOMMENT
LOW.github/workflows/sync-skills.yml161 # - New skill (no prior version on main) → drop outright.COMMENT
LOW.github/workflows/sync-skills.yml281 # - eval data (Tier-3 NV-ACES dataset). Accepted in anyCOMMENT
LOW.github/workflows/sync-skills.yml361 # true. Capped + parse-guarded; see the script header for theCOMMENT
LOW.github/workflows/sync-skills.yml621 joined="${joined%, }"COMMENT
LOW.github/workflows/validate-plugins.yml1# SPDX-License-Identifier: Apache-2.0COMMENT
LOW.github/workflows/validate-plugins.yml81 # Self-serve fix: runCOMMENT
LOW.github/workflows/validate-plugins.yml101 # # Codex marketplace and uses a different schema.COMMENT
LOW.github/workflows/validate-plugins.yml121 # drift check above. Revisit if Cursor ships a validator CLI.COMMENT
LOW.github/scripts/prune-orphans.sh1#!/usr/bin/env bashCOMMENT
LOW.github/scripts/regenerate-readme.sh1#!/usr/bin/env bashCOMMENT
LOW.github/scripts/regenerate-readme.sh21# Row aggregation:COMMENT
LOW.github/scripts/manual-components.yml1# SPDX-License-Identifier: Apache-2.0COMMENT
LOW.github/scripts/marketplace/metadata-exclusions.yaml1# SPDX-License-Identifier: Apache-2.0COMMENT
LOW.github/scripts/marketplace/metadata-exclusions.yaml21# Schema:COMMENT
LOWskills/dicom-series-to-volume/skill_manifest.yaml1# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOW…lls/dicom-series-to-volume/scripts/series_to_volume.py1#!/usr/bin/env python3COMMENT
LOWskills/nemotron-speech/scripts/main.py1#!/usr/bin/env python3COMMENT
LOWskills/earth2studio-create-prognostic/evals/config.yml1# Harbor execution policy for earth2studio-create-prognostic live evals.COMMENT
LOW…tudio-create-prognostic/evals/targets/eval_1_target.py1# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES.COMMENT
LOW…tudio-create-prognostic/evals/targets/eval_2_target.py1# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES.COMMENT
LOW…te-prognostic/evals/targets/test/eval_2_test_target.py1# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES.COMMENT
LOW…te-prognostic/evals/targets/test/eval_1_test_target.py1# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES.COMMENT
LOW…h2studio-create-prognostic/references/testing-guide.py1# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES.COMMENT
LOW…udio-create-prognostic/references/skeleton-template.py1# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES.COMMENT
LOW…udio-create-prognostic/references/skeleton-template.py281 # """Move model to device.COMMENT
LOW…udio-create-prognostic/references/skeleton-template.py341 # Move to deviceCOMMENT
LOW…tudio-create-prognostic/references/method-templates.py1# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES.COMMENT
LOW…tudio-create-prognostic/references/method-templates.py201 #COMMENT
LOWskills/nv-generate-mr/skill_manifest.yaml1# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOWskills/nv-generate-mr/tests/test_run_mr.py1# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.COMMENT
LOWskills/nv-generate-mr/scripts/run_mr.py1#!/usr/bin/env python3COMMENT
LOWskills/nemotron-customize/references/context/index.toml1# Context-pack index. Authored extracts of upstream library docs that the ActCOMMENT
LOW…y-generator/assets/nemotron_system_prompt_template.txt1###COMMENT
LOW…y-generator/assets/nemotron_system_prompt_template.txt21### "/no_categories" via the chat-template kwarg. The reasoning flag ships as aCOMMENT
LOW…y-generator/assets/nemotron_system_prompt_template.txt161model itself.COMMENT
LOWskills/vss-deploy-profile/references/teardown.md61docker compose -p mdx down --remove-orphansCOMMENT
LOWskills/vss-deploy-profile/scripts/check_credentials.sh1#!/usr/bin/env bashCOMMENT
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Excessive Try-Catch Wrapping378 hits · 406 pts
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LOW…ance-tuning/references/install-so-standalone/README.md154 except Exception:CODE
MEDIUM…ance-tuning/references/install-so-standalone/README.md149def operation_count():CODE
LOW…ltime-viewer/references/viewer-input-routing/README.md54 except Exception:CODE
LOW…erse-realtime-viewer/references/local-viewer/README.md139 except Exception:CODE
LOW…erse-realtime-viewer/references/local-viewer/README.md241 except Exception:CODE
MEDIUM…erse-realtime-viewer/references/local-viewer/README.md237def on_mouse_moved(*args):CODE
LOW…er/references/streaming-messages/server-handler-map.md67 except Exception:CODE
LOW…-realtime-viewer/references/streaming-server/README.md148 except Exception:CODE
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MEDIUM…e-realtime-viewer/references/camera-controls/README.md35def camera_button_from_ovstream(raw_button) -> int | None:CODE
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py317 except Exception:STRING
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py378 except Exception as first_error:STRING
MEDIUM…rences/usd-convert-cad/scripts/kit_app_template_cad.py260def _run_async(awaitable):CODE
LOW…erences/content-agents/scripts/content_agent_client.py93 except Exception:CODE
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LOW…erences/content-agents/scripts/content_agent_client.py1620 except Exception as exc:STRING
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Structural Annotation Overuse249 hits · 403 pts
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LOW…ure-assessment/references/factory-level-structuring.md52### Step 1: Separate AnimationCOMMENT
LOW…ure-assessment/references/factory-level-structuring.md82### Step 2: Identify Asset BoundariesCOMMENT
LOW…ure-assessment/references/factory-level-structuring.md190### Step 4: Enable InstancingCOMMENT
LOW…ure-assessment/references/factory-level-structuring.md224### Step 5: Organize Materials into LibrariesCOMMENT
LOW…ure-assessment/references/factory-level-structuring.md254### Step 6: Layer Domain-Specific DataCOMMENT
LOW…ure-assessment/references/factory-level-structuring.md288### Step 7: Object HandlingCOMMENT
LOW…ning/references/setup-usd-performance-tuning/README.md133## Step 1 - Determine standalone runtimeCOMMENT
LOW…ning/references/setup-usd-performance-tuning/README.md179## Step 2 - Interpret statusCOMMENT
LOW…ning/references/setup-usd-performance-tuning/README.md214## Step 3 - Verify standalone pathCOMMENT
LOW…ning/references/setup-usd-performance-tuning/README.md221## Step 4 - Verify Kit path (fallback)COMMENT
LOW…ning/references/setup-usd-performance-tuning/README.md232## Step 5 - Continue workflowCOMMENT
LOW…ning/references/setup-usd-performance-tuning/README.md244## Step 6 - Print the runtime context header before continuingCOMMENT
LOW…ponents/osmo-cli/tests/orchestrator-runtime-failure.md106### Step 1: Main agent spawns workflow expert — Resource Check → SubmitCOMMENT
LOW…ponents/osmo-cli/tests/orchestrator-runtime-failure.md123### Step 2: Main agent monitors inline — user sees live status updatesCOMMENT
LOW…ponents/osmo-cli/tests/orchestrator-runtime-failure.md137### Step 3: Main agent resumes workflow expert — Failure DiagnosisCOMMENT
LOW…ponents/osmo-cli/tests/orchestrator-runtime-failure.md157### Step 4: Main agent resumes inline monitoringCOMMENT
LOW…ponents/osmo-cli/tests/orchestrator-runtime-failure.md166### Step 5: Main agent reports resultsCOMMENT
LOW…ient-scaling/components/osmo-cli/agents/logs-reader.md23## Step 1: Determine task list (only when told `"auto"`)COMMENT
LOW…ient-scaling/components/osmo-cli/agents/logs-reader.md37## Step 2: Fetch logsCOMMENT
LOW…ient-scaling/components/osmo-cli/agents/logs-reader.md58## Step 3: Fetch workflow spec (optional, when logs are ambiguous)COMMENT
LOW…ient-scaling/components/osmo-cli/agents/logs-reader.md75## Step 4: Summarize and returnCOMMENT
LOWplugins/nvidia-skills/skills/aiq-deploy/SKILL.md74### Step 1 - Locate or clone AI-QCOMMENT
LOWplugins/nvidia-skills/skills/aiq-deploy/SKILL.md88### Step 2 - Select the deployment modeCOMMENT
LOWplugins/nvidia-skills/skills/aiq-deploy/SKILL.md107### Step 3 - Prepare environment and secretsCOMMENT
LOWplugins/nvidia-skills/skills/aiq-deploy/SKILL.md124### Step 4 - Route to the selected deployment pathCOMMENT
LOWplugins/nvidia-skills/skills/aiq-deploy/SKILL.md144### Step 5 - Validate and hand offCOMMENT
LOWplugins/nvidia-skills/skills/aiq-research/SKILL.md80### Step 1 - Resolve the backendCOMMENT
LOWplugins/nvidia-skills/skills/aiq-research/SKILL.md103### Step 2 - Send the routed research requestCOMMENT
LOWplugins/nvidia-skills/skills/aiq-research/SKILL.md127### Step 3 - Poll asynchronous jobsCOMMENT
LOWplugins/nvidia-skills/skills/aiq-research/SKILL.md141### Step 4 - Resume after interruptionsCOMMENT
LOWplugins/nvidia-skills/skills/aiq-research/SKILL.md162### Step 5 - Present the reportCOMMENT
LOWplugins/nvidia-skills/skills/aiq-research/SKILL.md168### Step 6 - Follow up: ask about, edit, or redo a reportCOMMENT
LOWskills/nemotron-speech/references/asr.md160# Step 1: ExportCOMMENT
LOWskills/nemotron-speech/references/asr.md170# Step 2: Run from exportCOMMENT
LOWskills/earth2studio-create-prognostic/SKILL.md196### Step 10 - Validation (if requested)COMMENT
LOWskills/earth2studio-create-prognostic/SKILL.md204### Step 11 - PR (if requested)COMMENT
LOW…tudio-create-prognostic/references/validation-guide.md6## Step 10 - Reference Comparison and ValidationCOMMENT
LOW…huggingface-model/references/phase-3-implementation.md350 # Step 1: Get the TAO model's expected keysCOMMENT
LOW…huggingface-model/references/phase-3-implementation.md353 # Step 2: Build mapping (use regex for systematic patterns)COMMENT
LOW…huggingface-model/references/phase-3-implementation.md363 # Step 3: Verify coverageCOMMENT
LOWskills/nemo-mbridge-multi-node-slurm/SKILL.md149### Step 1: Allocate the nodeCOMMENT
LOWskills/nemo-mbridge-multi-node-slurm/SKILL.md157### Step 2: Launch container shellCOMMENT
LOWskills/nemo-mbridge-multi-node-slurm/SKILL.md169### Step 3: Set up environment inside containerCOMMENT
LOW…ao-run-automl/references/automl-advanced-monitoring.md196## Step 4: Monitor ProgressCOMMENT
LOW…ao-run-automl/references/automl-advanced-monitoring.md258## Step 5: Interpret ResultsCOMMENT
LOW…o-run-automl/references/automl-runner-configuration.md35## Step 3: Configure and RunCOMMENT
LOW…/tao-run-automl/references/automl-intent-algorithms.md17## Step 1: Parse User IntentCOMMENT
LOW…/tao-run-automl/references/automl-intent-algorithms.md269## Step 2: Select AlgorithmCOMMENT
LOWskills/holoscan-install-conda/SKILL.md34## Step 0: Consult the Official Install InstructionsCOMMENT
LOWskills/holoscan-install-conda/SKILL.md47## Step 1: Prerequisites CheckCOMMENT
LOWskills/holoscan-install-conda/SKILL.md65## Step 2: Create Environment and InstallCOMMENT
LOWskills/holoscan-install-conda/SKILL.md100## Step 3: Run Python TestsCOMMENT
LOWskills/holoscan-install-conda/SKILL.md143## Step 4: Remind the UserCOMMENT
LOW…/tao-run-platform/references/orchestration-patterns.md14# Step 1: trainCOMMENT
LOW…/tao-run-platform/references/orchestration-patterns.md20# Step 2: evaluate (uses the train results dir)COMMENT
LOWskills/tilegym-adding-cutile-kernel/SKILL.md41## Step 1: Register dispatch interfaceCOMMENT
LOWskills/tilegym-adding-cutile-kernel/SKILL.md76## Step 2: Implement cuTile backendCOMMENT
LOWskills/tilegym-adding-cutile-kernel/SKILL.md110## Step 3: Register in `__init__.py` (CRITICAL)COMMENT
LOWskills/tilegym-adding-cutile-kernel/SKILL.md130## Step 4: Add testsCOMMENT
LOWskills/tilegym-adding-cutile-kernel/SKILL.md189## Step 5: Add benchmark to tests/benchmarkCOMMENT
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Unused Imports350 hits · 343 pts
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LOW…ynamo-interconnect-check/scripts/check_interconnect.py20CODE
LOW…s/dynamo-router-starter/scripts/check_router_health.py7CODE
LOW…erences/optimization-report/scripts/validate_report.py38CODE
LOW…d-validation-runner/scripts/usd_validation_executor.py35CODE
LOW…d-validation-runner/scripts/usd_validation_executor.py205CODE
LOW…e-tuning/references/report-templates/render_preview.py10CODE
LOW…simready/references/omni-asset-validate/scripts/run.py5CODE
LOW…nces/omni-asset-validate/scripts/check_dependencies.py5CODE
LOW…nces/omni-asset-validate/scripts/check_dependencies.py9CODE
LOW…rt-to-usd/references/urdf-usd-converter/scripts/run.py5CODE
LOW…ences/urdf-usd-converter/scripts/check_dependencies.py5CODE
LOW…ences/urdf-usd-converter/scripts/check_dependencies.py8CODE
LOW…nvert-to-usd/references/usd-convert-cad/scripts/run.py5CODE
LOW…ferences/usd-convert-cad/scripts/check_dependencies.py5CODE
LOW…ferences/usd-convert-cad/scripts/check_dependencies.py8CODE
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py4CODE
LOW…rt-to-usd/references/usd-convert-gsplat/scripts/run.py5CODE
LOW…ences/usd-convert-gsplat/scripts/check_dependencies.py5CODE
LOW…ences/usd-convert-gsplat/scripts/check_dependencies.py8CODE
LOW…-to-usd/references/mujoco-usd-converter/scripts/run.py5CODE
LOW…ces/mujoco-usd-converter/scripts/check_dependencies.py5CODE
LOW…ces/mujoco-usd-converter/scripts/check_dependencies.py8CODE
LOW…d-to-simready/references/convert-to-usd/scripts/run.py22CODE
LOW…eferences/convert-to-usd/scripts/check_dependencies.py18CODE
LOW…eferences/convert-to-usd/scripts/check_dependencies.py21CODE
LOW…ready/references/identify-asset-context/scripts/run.py5CODE
LOW…ready/references/identify-asset-context/scripts/run.py8CODE
LOW…s/identify-asset-context/scripts/check_dependencies.py5CODE
LOW…agents/references/material-agent-client/scripts/run.py5CODE
LOW…es/material-agent-client/scripts/check_dependencies.py5CODE
LOW…-agents/references/texture-agent-client/scripts/run.py5CODE
LOW…ces/texture-agent-client/scripts/check_dependencies.py5CODE
LOW…-agents/references/physics-agent-client/scripts/run.py5CODE
LOW…ces/physics-agent-client/scripts/check_dependencies.py5CODE
LOW…d-to-simready/references/content-agents/scripts/run.py5CODE
LOW…ent-agents/scripts/content_agent_check_dependencies.py5CODE
LOW…erences/content-agents/scripts/content_agent_client.py5CODE
LOW…eferences/content-agents/scripts/check_dependencies.py5CODE
LOW…ntent-agents/scripts/content_agent_material_cleanup.py5CODE
LOW…references/omni-asset-validate-geometry/scripts/run.py5CODE
LOW…-asset-validate-geometry/scripts/check_dependencies.py5CODE
LOW…-asset-validate-geometry/scripts/check_dependencies.py9CODE
LOW…-asset-validate-geometry/scripts/check_dependencies.py13CODE
LOW…imready/references/ovrtx-render-service/scripts/run.py5CODE
LOW…/references/ovrtx-render-service/scripts/stage_prep.py4CODE
LOW…y/references/ovrtx-render-service/scripts/turntable.py5CODE
LOW…y/references/ovrtx-render-service/scripts/turntable.py8CODE
LOW…ces/ovrtx-render-service/scripts/check_dependencies.py5CODE
LOW…ces/ovrtx-render-service/scripts/check_dependencies.py8CODE
LOW…ces/ovrtx-render-service/scripts/check_dependencies.py50CODE
LOW…ces/ovrtx-render-service/scripts/check_dependencies.py50CODE
LOW…imready/references/validate-usd-minimum/scripts/run.py5CODE
LOW…ces/validate-usd-minimum/scripts/check_dependencies.py5CODE
LOW…ces/validate-usd-minimum/scripts/check_dependencies.py8CODE
LOW…ces/validate-usd-minimum/scripts/check_dependencies.py30CODE
LOW…ces/validate-usd-minimum/scripts/check_dependencies.py30CODE
LOW…o-simready/references/simready-validate/scripts/run.py5CODE
LOW…rences/simready-validate/scripts/check_dependencies.py5CODE
LOW…rences/simready-validate/scripts/check_dependencies.py8CODE
LOW…rences/simready-validate/scripts/check_dependencies.py14CODE
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Modern AI Meta-Vocabulary39 hits · 112 pts
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MEDIUM…mniverse-usd-performance-tuning/references/workflow.md379### Phase 7 - Iterate (default 3 scoped passes, post-report, agent-orchestration only)COMMENT
MEDIUM…and-resilient-scaling/components/osmo-cli/reference.md10- [Use Case: Orchestrate a Workflow End-to-End](#use-case-orchestrate-a-workflow-end-to-end)CODE
MEDIUM…ins/nvidia-skills/skills/aiq-deploy/references/frag.md1# FRAG / Foundational RAGCOMMENT
MEDIUM…ins/nvidia-skills/skills/aiq-deploy/references/frag.md7## RAG Blueprint OwnershipCOMMENT
MEDIUM.github/workflows/sync-skills.yml290 # (RAG Blueprint pattern), benchmark/evals.jsonCOMMENT
MEDIUM…t-huggingface-model/references/workflow-consistency.md90 → launch(args, unknown_args, subtasks) # orchestrates executionCODE
MEDIUMskills/nemotron-customize/references/act/PROJECT.md1# Project scaffold briefCOMMENT
MEDIUM…emotron-policy-generator/references/policy_patterns.md10## Enterprise RAG over internal docsCOMMENT
MEDIUM…emotron-policy-generator/references/policy_patterns.md593. Note the archetype choice in the `# Assumptions` block ("Starting point: enterprise RAG archetype; customized for [usCODE
MEDIUM…tao-run-automl/references/automl-preflight-concepts.md116 # With LLM/agentic algorithms, append ,llm to the resolved extra:COMMENT
MEDIUM…ills/tao-run-inference-service/references/request.yaml211 # OpenAI-compatible /v1/chat/completions API of the inference microserviceCOMMENT
MEDIUM…ills/tao-run-inference-service/references/request.yaml235 # Reject anything that isn't the registered local microservice URL.COMMENT
MEDIUM…ills/tao-run-inference-service/references/request.yaml246 with urllib.request.urlopen(req, timeout=300) as resp: # local microservice onlyCODE
MEDIUM…mniverse-usd-performance-tuning/references/workflow.md379### Phase 7 - Iterate (default 3 scoped passes, post-report, agent-orchestration only)COMMENT
MEDIUMskills/amc-setup-calibration-stack/SKILL.md303# Wait for microservice readiness. Cold image pulls or first startup can needCOMMENT
MEDIUM…and-resilient-scaling/components/osmo-cli/reference.md10- [Use Case: Orchestrate a Workflow End-to-End](#use-case-orchestrate-a-workflow-end-to-end)CODE
MEDIUM…ooks/warehouse/auto_labeling/auto_labeling_config.yaml53 # No COCO-80 class for scissor lifts, ladders, or scaffolding — see README warnings.COMMENT
MEDIUMskills/vss-summarize-video/SKILL.md205## Step 2 — Primary: video summarization microservice with HITLCOMMENT
MEDIUM…s/vss-summarize-video/references/end-to-end-example.md21 # ── Primary path: video summarization microservice with HITL ──COMMENT
MEDIUMskills/rag-eval/SKILL.md34# On-disk RAG evaluation (`corpus/` + `train.json`)COMMENT
MEDIUMskills/rag-perf/SKILL.md35# RAG-Perf — config-driven perf benchmark CLICOMMENT
MEDIUMskills/tilegym-cutile-python/BENCHMARK.md105 vs "# ============================================================" in orchestration/composer_agent.md (lines 100-105)CODE
MEDIUMskills/tilegym-cutile-python/BENCHMARK.md107 "# ============================================================" in orchestration/composer_agent.md (lines 64-71)CODE
MEDIUMskills/tilegym-cutile-python/BENCHMARK.md108 vs "# ============================================================" in orchestration/composer_agent.md (lines 74-81) (CODE
MEDIUM…uggingface-model/references/pipeline-skill-template.md159# 4. Baseline (zero-shot) evalCOMMENT
MEDIUM…o-finetune-huggingface-model/references/docker-runs.md157## 4. Baseline (zero-shot) evalCOMMENT
MEDIUMskills/aiq-deploy/references/frag.md1# FRAG / Foundational RAGCOMMENT
MEDIUMskills/aiq-deploy/references/frag.md7## RAG Blueprint OwnershipCOMMENT
MEDIUMskills/vss-deploy-detection-tracking-3d/SKILL.md203If the user will view the VST video wall through a browser on a different network than the deploy host (cloud VM, corp VCODE
MEDIUM…edding/references/deploy-vss-deploy-video-embedding.md102# Confirm the embedding model is registered.COMMENT
MEDIUMskills/tao-train-dino/references/dino-automl-sdk.md72## Optional: SDK orchestration internalsCOMMENT
MEDIUMskills/rag-blueprint/SKILL.md38# NVIDIA RAG BlueprintCOMMENT
MEDIUMskills/rag-blueprint/references/troubleshoot.md1# RAG TroubleshootingCOMMENT
MEDIUMskills/rag-blueprint/references/deploy.md1# RAG Blueprint DeploymentCOMMENT
MEDIUMskills/rag-blueprint/references/shutdown.md1# RAG ShutdownCOMMENT
MEDIUM…ills/rag-blueprint/references/configure/agentic-rag.md1# Agentic RAGCOMMENT
MEDIUMskills/rag-blueprint/references/deploy/helm.md1# RAG Helm DeploymentCOMMENT
MEDIUMskills/rag-blueprint/references/deploy/library.md1# RAG Library Mode SetupCOMMENT
MEDIUMskills/rag-blueprint/references/deploy/docker.md1# RAG Docker DeploymentCOMMENT
Cross-File Repetition22 hits · 110 pts
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HIGH…tudio-create-prognostic/evals/targets/eval_1_target.py0input coordinate system of the prognostic model. returns ------- coordsystem coordinate system dictionary.STRING
HIGH…tudio-create-prognostic/evals/targets/eval_2_target.py0input coordinate system of the prognostic model. returns ------- coordsystem coordinate system dictionary.STRING
HIGH…udio-create-prognostic/references/skeleton-template.py0input coordinate system of the prognostic model. returns ------- coordsystem coordinate system dictionary.STRING
HIGH…tudio-create-prognostic/evals/targets/eval_1_target.py0batch-decorated generator for time integration. parameters ---------- x : torch.tensor initial condition tensor. coords STRING
HIGH…tudio-create-prognostic/evals/targets/eval_2_target.py0batch-decorated generator for time integration. parameters ---------- x : torch.tensor initial condition tensor. coords STRING
HIGH…udio-create-prognostic/references/skeleton-template.py0batch-decorated generator for time integration. parameters ---------- x : torch.tensor initial condition tensor. coords STRING
HIGH…tudio-create-prognostic/evals/targets/eval_1_target.py0create time-integration iterator. parameters ---------- x : torch.tensor initial condition tensor. coords : coordsystem STRING
HIGH…tudio-create-prognostic/evals/targets/eval_2_target.py0create time-integration iterator. parameters ---------- x : torch.tensor initial condition tensor. coords : coordsystem STRING
HIGH…udio-create-prognostic/references/skeleton-template.py0create time-integration iterator. parameters ---------- x : torch.tensor initial condition tensor. coords : coordsystem STRING
HIGH…tudio-create-prognostic/references/method-templates.py0create time-integration iterator. parameters ---------- x : torch.tensor initial condition tensor. coords : coordsystem STRING
HIGH…utile-to-triton/examples/03_layernorm/cutile_kernel.py0test function to verify correctness against pytorch.STRING
HIGH…utile-to-triton/examples/03_layernorm/triton_kernel.py0test function to verify correctness against pytorch.STRING
HIGH…g-cutile-to-triton/examples/04_matmul/cutile_kernel.py0test function to verify correctness against pytorch.STRING
HIGH…g-cutile-to-triton/examples/04_matmul/triton_kernel.py0test function to verify correctness against pytorch.STRING
HIGH…utile-to-triton/examples/05_attention/triton_kernel.py0test function to verify correctness against pytorch.STRING
HIGH…amples/convolution/conv3d_with_bias_dilation_groups.py0adjust group_size_m to divide num_tiles_m for swizzle correctness.STRING
HIGH…amples/convolution/conv2d_with_bias_dilation_groups.py0adjust group_size_m to divide num_tiles_m for swizzle correctness.STRING
HIGH…utile-python/examples/convolution/conv_transpose_2d.py0adjust group_size_m to divide num_tiles_m for swizzle correctness.STRING
HIGH…utile-python/examples/convolution/conv_transpose_3d.py0adjust group_size_m to divide num_tiles_m for swizzle correctness.STRING
HIGH…amples/convolution/conv3d_with_bias_dilation_groups.py0heuristic tile config selection based on problem dimensions. key insights from systematic tuning on blackwell (150 sms):STRING
HIGH…utile-python/examples/convolution/conv_transpose_2d.py0heuristic tile config selection based on problem dimensions. key insights from systematic tuning on blackwell (150 sms):STRING
HIGH…utile-python/examples/convolution/conv_transpose_3d.py0heuristic tile config selection based on problem dimensions. key insights from systematic tuning on blackwell (150 sms):STRING
Deep Nesting104 hits · 97 pts
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LOW…erences/optimization-report/scripts/validate_report.py82CODE
LOW…e-tuning/references/report-templates/render_preview.py115CODE
LOW…e-tuning/references/report-templates/render_preview.py128CODE
LOW…cal-optimization-api/assets/python/mps_solver/model.py54CODE
LOW…d-to-simready/references/convert-to-usd/scripts/run.py156CODE
LOW…d-to-simready/references/content-agents/scripts/run.py173CODE
LOW…erences/content-agents/scripts/content_agent_client.py482CODE
LOW…erences/content-agents/scripts/content_agent_client.py723CODE
LOW…erences/content-agents/scripts/content_agent_client.py793CODE
LOW…erences/content-agents/scripts/content_agent_client.py1230CODE
LOW…erences/content-agents/scripts/content_agent_client.py1371CODE
LOW…ntent-agents/scripts/content_agent_material_cleanup.py120CODE
LOW…ntent-agents/scripts/content_agent_material_cleanup.py133CODE
LOW…imready/references/ovrtx-render-service/scripts/run.py302CODE
LOW…imready/references/ovrtx-render-service/scripts/run.py362CODE
LOW…imready/references/ovrtx-render-service/scripts/run.py311CODE
LOW…/references/ovrtx-render-service/scripts/stage_prep.py53CODE
LOW…ces/FET_004_SIMULATE_MULTI_BODY_PHYSICS/scripts/run.py126CODE
LOW…form-profile/references/FET_001_MINIMAL/scripts/run.py105CODE
LOW…05_SIMULATE_GRASP_PHYSICS/scripts/author_grasp_line.py158CODE
LOW…eady/references/assemble-package-source/scripts/run.py190CODE
LOW…eady/references/assemble-package-source/scripts/run.py261CODE
LOW…-to-simready/references/preflight/scripts/preflight.py511CODE
LOW…-to-simready/references/preflight/scripts/preflight.py572CODE
LOW…-to-simready/references/preflight/scripts/preflight.py1037CODE
LOW.github/scripts/build-plugins.py156CODE
LOW.github/scripts/aggregate_benchmarks.py37CODE
LOW.github/scripts/version-plugins.py267CODE
LOW.github/scripts/version-plugins.py642CODE
LOW.github/scripts/marketplace/generate-skill-metadata.py193CODE
LOW.github/scripts/marketplace/generate-skill-metadata.py247CODE
LOW.github/scripts/marketplace/generate-skill-metadata.py664CODE
LOW.github/scripts/marketplace/generate-skill-metadata.py790CODE
LOWskills/skill-card-generator/scripts/discover_assets.py304CODE
LOWskills/skill-card-generator/scripts/discover_assets.py328CODE
LOWskills/skill-card-generator/scripts/discover_assets.py449CODE
LOWskills/skill-card-generator/scripts/render_card.py143CODE
LOWskills/skill-card-generator/scripts/render_card.py158CODE
LOWskills/nv-generate-mr/scripts/run_mr.py205CODE
LOW…s/vss-deploy-profile/scripts/normalize_resolved_yml.py60CODE
LOW…deepstream-profile-pipeline/scripts/capacity_report.py168CODE
LOW…deepstream-profile-pipeline/scripts/capacity_report.py199CODE
LOW…deepstream-profile-pipeline/scripts/capacity_report.py260CODE
LOWskills/jetson-inference-mem-tune/scripts/recommend.py190CODE
LOWskills/nv-segment-ct-finetune/scripts/run_finetune.py1129CODE
LOWskills/nv-segment-ct-finetune/scripts/run_finetune.py1276CODE
LOWskills/nv-generate-ct-rflow/scripts/run_ct_mask.py146CODE
LOWskills/nv-generate-ct-rflow/scripts/run_rflow_ct.py134CODE
LOW…erences/optimization-report/scripts/validate_report.py82CODE
LOW…e-tuning/references/report-templates/render_preview.py115CODE
LOW…e-tuning/references/report-templates/render_preview.py128CODE
LOW…ai-video-data-augmentation/scripts/generate_configs.py30CODE
LOWskills/jetson-customize-pinmux/scripts/generate_dtsi.py654CODE
LOW…s/nv-generate-vae-finetune/scripts/run_vae_finetune.py324CODE
LOW…cal-optimization-api/assets/python/mps_solver/model.py54CODE
LOW…nverting-cutile-to-julia/scripts/validate_cutile_jl.py22CODE
LOW…eric-migration-readiness/evals/files/graph_workload.py28CODE
LOWskills/nv-generate-mr-brain/scripts/run_mr_brain.py217CODE
LOW…pstream-generate-pipeline/scripts/validate_pipeline.py330CODE
LOW…pstream-generate-pipeline/scripts/validate_pipeline.py431CODE
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Example Usage Blocks33 hits · 50 pts
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LOW…ploy-detection-tracking-2d/scripts/run_app_and_wait.sh12# Usage:COMMENT
LOW…ection-tracking-2d/scripts/prelaunch_nvinfer_engine.sh21# Usage:COMMENT
LOW…oy-detection-tracking-2d/scripts/apply_in_container.sh15# Usage:COMMENT
LOW…-detection-tracking-2d/scripts/cache_nvinfer_engine.sh18# Usage:COMMENT
LOW…loy-detection-tracking-2d/scripts/update_batch_size.sh11# Usage:COMMENT
LOW…etection-tracking-2d/scripts/start_app_in_container.sh16# Usage:COMMENT
LOW…detection-tracking-2d/scripts/synthesize_docker_run.sh18# Usage:COMMENT
LOW…deploy-detection-tracking-2d/scripts/setup_sparse4d.sh11# Usage:COMMENT
LOW…oy-detection-tracking-2d/scripts/setup_tracker_reid.sh35# Usage:COMMENT
LOW…ss-deploy-detection-tracking-2d/scripts/setup_gdino.sh11# Usage:COMMENT
LOW…oy-detection-tracking-2d/scripts/update_output_sink.sh13# Usage:COMMENT
LOW…oy-detection-tracking-2d/scripts/clean_engine_cache.sh25# Usage:COMMENT
LOW…y-detection-tracking-2d/scripts/check_container_gpu.sh23# Usage:COMMENT
LOW…vss-deploy-detection-tracking-2d/scripts/render_box.sh20# Usage:COMMENT
LOW…-detection-tracking-2d/scripts/write_deployment_log.sh25# Usage:COMMENT
LOW…eploy-detection-tracking-2d/scripts/collect_metrics.sh15# Usage:COMMENT
LOWskills/jetson-package/scripts/artifact_hints.sh10# Usage:COMMENT
LOW…deo-data-augmentation/scripts/preflight_credentials.sh16# Usage:COMMENT
LOWskills/jetson-diagnostic/scripts/snapshot.sh10# Usage:COMMENT
LOWskills/jetson-diagnostic/scripts/mem_summary.sh14# Usage:COMMENT
LOWskills/jetson-headless-mode/scripts/apply.sh10# Usage:COMMENT
LOWskills/jetson-headless-mode/scripts/plan.sh13# Usage:COMMENT
LOW…fect-image-generation/scripts/preflight_credentials.sh32# Usage:COMMENT
LOW…ect-image-generation/scripts/preflight_pod_template.sh14# Usage:COMMENT
LOW…ople-attribute-search/scripts/preflight_credentials.sh14# Usage:COMMENT
LOWskills/jetson-memory-audit/scripts/drop_caches.sh18# Usage:COMMENT
LOW…am-import-vision-model/scripts/model/ngc-list-files.sh21# Usage:COMMENT
LOW…eam-import-vision-model/scripts/model/hf-list-files.sh22# Usage:COMMENT
LOW…mport-vision-model/scripts/model/hf-download-config.sh21# Usage:COMMENT
LOW…ream-import-vision-model/scripts/model/ngc-download.sh22# Usage:COMMENT
LOW…eepstream-import-vision-model/scripts/model/cleanup.sh27# Usage:COMMENT
LOW…stream-import-vision-model/scripts/report/md-to-pdf.sh21# Usage:COMMENT
LOW…eam-import-vision-model/scripts/deepstream/ds-sweep.sh37# Usage:COMMENT
Cross-Language Confusion9 hits · 48 pts
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HIGH…ynamo-interconnect-check/scripts/check_interconnect.py285 "command -v nixlbench nixl_test 2>/dev/null; ls /usr/local/nixl 2>/dev/null",CODE
HIGH…nvert-to-usd/references/usd-convert-cad/scripts/run.py36 "&& OMNI_KIT_ACCEPT_EULA=yes python install.py && python validate.py"CODE
HIGH…ferences/usd-convert-cad/scripts/check_dependencies.py31 "&& OMNI_KIT_ACCEPT_EULA=yes python install.py && python validate.py"CODE
HIGH…ynamo-interconnect-check/scripts/check_interconnect.py285 "command -v nixlbench nixl_test 2>/dev/null; ls /usr/local/nixl 2>/dev/null",CODE
HIGH…osmos-reason/scripts/prepare_cosmos3_vlm_checkpoint.py155chown -R "${HOST_UID}:${HOST_GID}" "$CONVERSION_OUTPUT_PATH" /cache || trueCODE
HIGH…nvert-to-usd/references/usd-convert-cad/scripts/run.py36 "&& OMNI_KIT_ACCEPT_EULA=yes python install.py && python validate.py"CODE
HIGH…ferences/usd-convert-cad/scripts/check_dependencies.py31 "&& OMNI_KIT_ACCEPT_EULA=yes python install.py && python validate.py"CODE
HIGHskills/jetson-validate-image/scripts/uart_session.py565 for c in ("uname -r", "cat /etc/nv_tegra_release 2>/dev/null || true"):CODE
HIGH…te-datasource/evals/targets/test/eval_3_test_target.py110 assert df1.equals(df2)CODE
Fake / Example Data40 hits · 42 pts
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LOWskills/tao-finetune-huggingface-model/SKILL.md78emit_unit_tests: false # tests/ with fake-data heterogeneous-batch testsCODE
LOW…gingface-model/references/workflow-intake-preflight.md75emit_unit_tests: false # tests/ with fake-data heterogeneous-batch testsCODE
LOW…s/tao-finetune-huggingface-model/references/testing.md201 tmp = tmp_path_factory.mktemp("fake_data")CODE
LOW…te-datasource/evals/targets/test/eval_4_test_target.py83 fake_data = np.full((181, 360), 273.15, dtype=np.float32)CODE
LOW…te-datasource/evals/targets/test/eval_4_test_target.py86 fake_ds = xr.Dataset({"temperature": (["lat", "lon"], fake_data)})CODE
LOW…te-datasource/evals/targets/test/eval_4_test_target.py106 np.testing.assert_allclose(data.sel(variable="t2m").values[0], fake_data)CODE
LOW…te-datasource/evals/targets/test/eval_4_test_target.py107 np.testing.assert_allclose(data.sel(variable="msl").values[0], fake_data)CODE
LOWskills/nv-segment-ctmr/tests/test_run_ctmr.py55 expected.write_bytes(b"placeholder")CODE
LOWskills/tao-train-pointpillars/schemas/train.schema.json99 "placeholder"CODE
LOWskills/tao-train-pointpillars/schemas/train.schema.json524 "placeholder"CODE
LOWskills/tao-train-pointpillars/schemas/train.schema.json659 "placeholder"CODE
LOWskills/tao-train-pointpillars/schemas/train.schema.json708 "placeholder"CODE
LOW…train-pointpillars/schemas/dataset_convert.schema.json99 "placeholder"CODE
LOW…train-pointpillars/schemas/dataset_convert.schema.json524 "placeholder"CODE
LOW…train-pointpillars/schemas/dataset_convert.schema.json659 "placeholder"CODE
LOW…train-pointpillars/schemas/dataset_convert.schema.json708 "placeholder"CODE
LOW…-train-pointpillars/schemas/gen_trt_engine.schema.json99 "placeholder"CODE
LOW…-train-pointpillars/schemas/gen_trt_engine.schema.json535 "placeholder"CODE
LOW…-train-pointpillars/schemas/gen_trt_engine.schema.json670 "placeholder"CODE
LOW…-train-pointpillars/schemas/gen_trt_engine.schema.json719 "placeholder"CODE
LOW…ls/tao-train-pointpillars/schemas/evaluate.schema.json99 "placeholder"CODE
LOW…ls/tao-train-pointpillars/schemas/evaluate.schema.json531 "placeholder"CODE
LOW…ls/tao-train-pointpillars/schemas/evaluate.schema.json666 "placeholder"CODE
LOW…ls/tao-train-pointpillars/schemas/evaluate.schema.json715 "placeholder"CODE
LOWskills/tao-train-pointpillars/schemas/prune.schema.json99 "placeholder"CODE
LOWskills/tao-train-pointpillars/schemas/prune.schema.json528 "placeholder"CODE
LOWskills/tao-train-pointpillars/schemas/prune.schema.json663 "placeholder"CODE
LOWskills/tao-train-pointpillars/schemas/prune.schema.json712 "placeholder"CODE
LOW…lls/tao-train-pointpillars/schemas/retrain.schema.json99 "placeholder"CODE
LOW…lls/tao-train-pointpillars/schemas/retrain.schema.json524 "placeholder"CODE
LOW…lls/tao-train-pointpillars/schemas/retrain.schema.json659 "placeholder"CODE
LOW…lls/tao-train-pointpillars/schemas/retrain.schema.json708 "placeholder"CODE
LOW…ills/tao-train-pointpillars/schemas/export.schema.json99 "placeholder"CODE
LOW…ills/tao-train-pointpillars/schemas/export.schema.json535 "placeholder"CODE
LOW…ills/tao-train-pointpillars/schemas/export.schema.json670 "placeholder"CODE
LOW…ills/tao-train-pointpillars/schemas/export.schema.json719 "placeholder"CODE
LOW…s/tao-train-pointpillars/schemas/inference.schema.json99 "placeholder"CODE
LOW…s/tao-train-pointpillars/schemas/inference.schema.json533 "placeholder"CODE
LOW…s/tao-train-pointpillars/schemas/inference.schema.json668 "placeholder"CODE
LOW…s/tao-train-pointpillars/schemas/inference.schema.json717 "placeholder"CODE
AI Slop Vocabulary12 hits · 34 pts
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LOW…oy-detection-tracking-2d/scripts/setup_tracker_reid.sh27# already in cache), just create the symlink soCOMMENT
MEDIUM…oy-detection-tracking-2d/scripts/update_output_sink.sh28# 2 = MKV (matroska; DEFAULT — robust on abnormalCOMMENT
MEDIUM…oy-detection-tracking-2d/scripts/update_output_sink.sh158# ── Container muxer: default = 2 (MKV, robust on abnormal exit) ───COMMENT
MEDIUM…eploy-detection-tracking-2d/scripts/collect_metrics.sh68# `*_<8 digits>_<6 digits>.txt` so it's robust to use-case prefixCOMMENT
MEDIUM…arallel-data-load/assets/examples/parallel_npy_load.py30# cupynumeric examples test harness (which invokes every example withCOMMENT
MEDIUM…arallel-data-load/assets/examples/parallel_npy_load.py635 # cupynumeric examples test harness does). Works on any LegateCOMMENT
MEDIUM…arallel-data-load/assets/examples/parallel_npy_load.py761 # cupynumeric examples test harness -- is silently dropped. With noCOMMENT
MEDIUM…rting-cutile-to-julia/examples/01_add/cutile_python.py59# ── Host harness ─────────────────────────────────────────────────────────────COMMENT
MEDIUM…g-cutile-to-julia/examples/03_softmax/cutile_python.py157# Host harnessCOMMENT
MEDIUM…ng-cutile-to-julia/examples/02_matmul/cutile_python.py45# ── Host harness ─────────────────────────────────────────────────────────────COMMENT
MEDIUM…am-sop/references/missing_number_detector_reference.py277 """Get comprehensive statistics about the detection process"""STRING
MEDIUM…-analyze-changenet-rca/hooks/rca-phase-completeness.sh16 # --- Use Python for robust section-by-section validation ---COMMENT
Hallucination Indicators3 hits · 30 pts
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CRITICAL…tup-usd-performance-tuning/references/runtime-probe.md74 2. `omni.scene.optimizer.impl.core.SOPluginVersion()` →CODE
CRITICAL…tup-usd-performance-tuning/references/runtime-probe.md74 2. `omni.scene.optimizer.impl.core.SOPluginVersion()` →CODE
CRITICAL…stereo/references/tao-deploy-fast-foundation-stereo.md261`nvidia_tao_deploy.cv.depth_net.evaluation.stereo_evaluator.compute()` withCODE
Verbosity Indicators13 hits · 25 pts
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LOW…utile-to-triton/examples/03_layernorm/triton_kernel.py65 # Step 1: Compute mean using tl.sumCOMMENT
LOW…utile-to-triton/examples/03_layernorm/triton_kernel.py70 # Step 2: Compute variance using tl.sumCOMMENT
LOW…utile-to-triton/examples/03_layernorm/triton_kernel.py85 # Step 3: NormalizeCOMMENT
LOW…utile-to-triton/examples/05_attention/triton_kernel.py150 # Step 1: Find new max for this blockCOMMENT
LOW…utile-to-triton/examples/05_attention/triton_kernel.py154 # Step 2: Compute scaling factorsCOMMENT
LOW…utile-to-triton/examples/05_attention/triton_kernel.py158 # Step 3: Compute exp(scores - m_new) for current blockCOMMENT
LOW…utile-to-triton/examples/05_attention/triton_kernel.py162 # Step 4: Update running sumCOMMENT
LOW…utile-to-triton/examples/05_attention/triton_kernel.py166 # Step 5: Load V block and accumulate weighted valuesCOMMENT
LOW…eam-sop/references/export_ddm_to_tensorrt_reference.py604 # Step 1: ONNX exportCOMMENT
LOW…eam-sop/references/export_ddm_to_tensorrt_reference.py626 # Step 2: TensorRT engine buildCOMMENT
LOW…mport-vision-model/scripts/deepstream/extract-frame.sh20# Step 6: Extract first frame from output video as PNG for visual inspection.COMMENT
LOW…mport-vision-model/scripts/deepstream/ds-kitti-dump.sh19# Step 6: KITTI dump using deepstream-app (built-in KITTI support)COMMENT
LOW…rt-vision-model/scripts/deepstream/ds-single-stream.sh19# Step 6: Single-stream DeepStream pipeline -- saves output video with OSD boxes.COMMENT
Self-Referential Comments6 hits · 20 pts
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MEDIUMskills/hsb-flash/scripts/v2.0.0/local_manifest.py17# Create a manifest.yaml that trains the local downloader toCOMMENT
MEDIUM…ills/tao-run-inference-service/references/request.yaml2# This file contains only data: endpoint definitions, request schema, and response shapes.COMMENT
MEDIUM…ills/tao-run-inference-service/references/service.yaml2# This file contains only data: image mappings, schema definitions, valid values,COMMENT
MEDIUM…f/evals/files/cudf-pivot-melt/code/reshape_analysis.py69 # Create a multi-index aggregationCOMMENT
MEDIUM…te-datasource/evals/targets/test/eval_4_test_target.py85 # Create a fake NetCDF file in tmp_pathCOMMENT
MEDIUMskills/tao-run-deft-aoi/references/baseline_spec.yaml4# This file is the source of truth for model architecture, lighting layout,COMMENT
Synthetic Comment Markers3 hits · 18 pts
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HIGH…ilegym-cutile-python/torch-learner/tracing_workflow.md14- **[4_language_layers.md](references/4_language_layers.md)** - Reading Python, C++, CUDA, and auto-generated codeCODE
HIGH…e-python/torch-learner/references/4_language_layers.md3This document explains how to read and navigate PyTorch code at each language layer: Python, C++ (ATen), CUDA, and auto-CODE
HIGH…e-python/torch-learner/references/4_language_layers.md285## Layer 4: Auto-Generated CodeCOMMENT
Redundant / Tautological Comments10 hits · 15 pts
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LOW…-scaling/components/inference-azure/scripts/install.sh109# Check if endpoint already exists with matching modelCOMMENT
LOW…re/terraform/prerequisites/register-azure-providers.sh115 # Check if Azure CLI is installedCOMMENT
LOW…ploy-detection-tracking-2d/scripts/run_app_and_wait.sh187 # Check if app diedCOMMENT
LOW…y-detection-tracking-2d/scripts/calibration_manager.py38 # Check if calibration covers batch size 6STRING
LOW…-scaling/components/inference-azure/scripts/install.sh109# Check if endpoint already exists with matching modelCOMMENT
LOW…re/terraform/prerequisites/register-azure-providers.sh115 # Check if Azure CLI is installedCOMMENT
LOW…am-sop/references/missing_number_detector_reference.py152 # Check if this looks like a new cycle startingCOMMENT
LOW…am-sop/references/missing_number_detector_reference.py157 # Check if we've seen enough of the cycle to consider this a restartCOMMENT
LOW…am-sop/references/missing_number_detector_reference.py198 # Check if cycle is complete (all numbers 1 to N seen) but don't end it yetCOMMENT
LOW…lls/tao-analyze-changenet-rca/hooks/rca-depth-check.sh60 # Check if this root cause has a corresponding simulationCOMMENT
AI Structural Patterns13 hits · 13 pts
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LOW…nvert-to-usd/references/usd-convert-cad/scripts/run.py290CODE
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py575CODE
LOW…rt-to-usd/references/usd-convert-gsplat/scripts/run.py209CODE
LOWskills/nv-generate-mr/scripts/run_mr.py462CODE
LOWskills/nv-segment-ct-finetune/scripts/run_finetune.py1276CODE
LOWskills/nv-generate-ct-rflow/scripts/run_ct_image.py366CODE
LOWskills/nv-generate-ct-rflow/scripts/run_rflow_ct.py682CODE
LOW…tudio-create-diagnostic/evals/targets/eval_3_target.py261CODE
LOWskills/nv-generate-mr-brain/scripts/run_mr_brain.py477CODE
LOW…nvert-to-usd/references/usd-convert-cad/scripts/run.py290CODE
LOW…rences/usd-convert-cad/scripts/kit_app_template_cad.py575CODE
LOW…rt-to-usd/references/usd-convert-gsplat/scripts/run.py209CODE
LOWskills/nv-segment-ctmr/scripts/run_ctmr.py460CODE
Modern Structural Boilerplate1 hit · 1 pts
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LOW…lls/deepstream-sop/references/protos_init_reference.py20__all__ = ["ext_pb2", "nv_pb2"]CODE