Repository Analysis

0x0funky/agent-sprite-forge

Agent Skill for generating 2D sprite sheets and map, transparent PNG frames, and animated GIFs from prompts.

4.5 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of 0x0funky/agent-sprite-forge, a Python project with 3,329 GitHub stars. SynthScan v2.0 examined 8,031 lines of code across 28 source files, recording 36 pattern matches distributed across 5 syntactic categories. The overall adjusted score of 4.5 places this repository in the Likely human-written 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).

4.5
Adjusted Score
4.5
Raw Score
100%
Time Factor
2026-07-12
Last Push
3.3K
Stars
Python
Language
8.0K
Lines of Code
28
Files
36
Pattern Hits
2026-07-14
Scan Date
0.00
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

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

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 0HIGH 0MEDIUM 0LOW 36

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 36 distinct pattern matches across 5 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.

Hyper-Verbose Identifiers14 hits · 14 pts
SeverityFileLineSnippetContext
LOWtests/test_generate2dmap_terrain.py27 def test_extracts_rows_as_terrain_variants(self) -> None:CODE
LOWtests/test_generate2dmap_terrain.py63 def test_rejects_incomplete_row_mapping(self) -> None:CODE
LOWtests/test_generate2dsprite.py40 def test_edge_touch_uses_trimmed_frame_dimensions(self) -> None:CODE
LOWtests/test_generate2dsprite.py60 def test_empty_frame_is_reported_as_empty(self) -> None:CODE
LOWtests/test_generate2dsprite.py79 def test_preserve_aligns_equal_size_subjects_to_same_anchor(self) -> None:CODE
LOWtests/test_generate2dsprite.py105 def test_qc_summary_reports_model_scale_and_anchor_drift(self) -> None:CODE
LOWtests/test_generate2dsprite.py159 def test_profile_round_trip_and_processing_contract(self) -> None:CODE
LOWtests/test_generate2dsprite.py189 def test_profile_scale_drift_compares_generation_scale(self) -> None:CODE
LOWtests/test_generate2dsprite.py212 def test_anchor_layout_repeats_identical_scale_and_feet_line(self) -> None:CODE
LOWtests/test_generate2dsprite.py249 def test_bundle_marks_one_shots_and_preserves_default(self) -> None:CODE
LOWtests/test_generate2dsprite.py264 def test_bundle_rejects_cross_action_world_height_drift(self) -> None:CODE
LOWtests/test_generate2dsprite.py275 def test_bundle_rejects_per_action_runtime_rescaling(self) -> None:CODE
LOWtests/test_generate2dsprite.py286 def test_scale_profile_locks_runtime_pixel_size(self) -> None:CODE
LOWtests/test_generate2dsprite.py297 def test_source_edge_override_is_explicit_and_opt_in(self) -> None:CODE
Unused Imports10 hits · 10 pts
SeverityFileLineSnippetContext
LOWtests/test_generate2dmap_terrain.py1CODE
LOWtests/test_generate2dsprite.py1CODE
LOWskills/generate2dmap/scripts/compose_layered_preview.py4CODE
LOWskills/generate2dmap/scripts/extract_terrain_tiles.py4CODE
LOWskills/generate2dmap/scripts/extract_prop_pack.py4CODE
LOWskills/generate2dsprite/scripts/generate2dsprite.py4CODE
LOWskills/generate2dsprite/scripts/make_layout_guide.py4CODE
LOWskills/generate2dsprite/scripts/make_anchor_layout.py4CODE
LOWskills/video2dsprite/scripts/video2dsprite.py14CODE
LOWskills/video2dsprite/scripts/video2dsprite.py24CODE
Deep Nesting10 hits · 10 pts
SeverityFileLineSnippetContext
LOWskills/generate2dmap/scripts/compose_layered_preview.py29CODE
LOWskills/generate2dmap/scripts/extract_terrain_tiles.py71CODE
LOWskills/generate2dmap/scripts/extract_prop_pack.py26CODE
LOWskills/generate2dmap/scripts/extract_prop_pack.py77CODE
LOWskills/generate2dmap/scripts/extract_prop_pack.py98CODE
LOWskills/generate2dsprite/scripts/generate2dsprite.py240CODE
LOWskills/generate2dsprite/scripts/generate2dsprite.py389CODE
LOWskills/generate2dsprite/scripts/generate2dsprite.py444CODE
LOWskills/generate2dsprite/scripts/generate2dsprite.py469CODE
LOWskills/video2dsprite/scripts/video2dsprite.py227CODE
AI Structural Patterns1 hit · 1 pts
SeverityFileLineSnippetContext
LOWskills/generate2dsprite/scripts/generate2dsprite.py908CODE
Excessive Try-Catch Wrapping1 hit · 1 pts
SeverityFileLineSnippetContext
LOWskills/video2dsprite/scripts/video2dsprite.py489 except Exception as exc: # noqa: BLE001 — CLI surfaceCODE