AI Slop Code Risk Monitor

playcanvas/supersplat

SlopCodeMonitor badge for playcanvas/supersplat Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).

3D Gaussian Splat Editor

0.6 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for playcanvas/supersplat, a TypeScript project with 10,497 GitHub stars. SynthScan examined 55,727 lines of code across 211 source files, recording 29 pattern matches distributed across 3 syntactic categories. The legacy adjusted pattern signal is 0.6 (Low pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

0.6
Adjusted Signal
0.6
Raw Pattern Score
100%
Time Factor
2026-10-31
Last Push
10.5K
Stars
TypeScript
Language
55.7K
Lines of Code
211
Files
29
Pattern Hits
2026-10-31
Scan Date
0.00
HC Hit Rate

Risk Review · Payload v1

Use each vector to guide manual verification of the underlying findings.

Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.

Cognitive Ownership Risk 2.7/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 29 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.0/100 · LOW

Are imports declared and package/API names verified? 0 finding(s).

Agent Over-Engineering Ratio 0.1/100 · LOW

Are wrappers, guards, and repeated structures necessary? 1 finding(s).

PR Review Velocity Impact 2.7/100 · LOW

Which changes need focused human review? 29 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 0HIGH 0MEDIUM 1LOW 28

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 29 distinct pattern matches across 3 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. 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 configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Over-Commented Block27 hits · 27 pts
SeverityFileLineSnippetContext
LOWsrc/selection-gesture.ts1import type { CommandContext, CommandQueue } from './command-queue';COMMENT
LOWsrc/doc.ts121 try {COMMENT
LOWsrc/projected-splat-renderer.ts201 // contribution cull on stochastic frames, adapted from each stochasticCOMMENT
LOWsrc/projected-splat-renderer.ts1081 this.device.computeDispatch([args], 'ProjectedSplatIndirectArgs');COMMENT
LOWsrc/projected-splat-renderer.ts1121 // the selection's 80/20 split only pays off if the Underlay pass addsCOMMENT
LOWsrc/edit-ops.ts121COMMENT
LOWsrc/scene.ts101 forceInteracting = false;COMMENT
LOWsrc/scene.ts121 editedRender = false;COMMENT
LOWsrc/scene.ts561 const all = new Set([...result.added, ...result.removed, ...result.moved, ...result.changed]);COMMENT
LOWsrc/scene.ts581 // autoEngageMs and like 'disabled' otherwise (updated per report inCOMMENT
LOWsrc/command-queue.ts1import type { EditOp } from './edit-ops';COMMENT
LOWsrc/gaussian-instances.ts41 return this.lo >= 0;COMMENT
LOWsrc/controllers.ts261 // per-event heuristic (wheelDelta % 120, deltaMode, fractional orCOMMENT
LOWsrc/color-grade.ts21type RGB = { r: number; g: number; b: number };COMMENT
LOWsrc/pc-app.ts1import {COMMENT
LOWsrc/pc-app.ts21 RenderComponentSystem,COMMENT
LOWsrc/pc-app.ts41 // CssHandler,COMMENT
LOWsrc/pc-app.ts101 // script.legacy ? ScriptLegacyComponentSystem : ScriptComponentSystem,COMMENT
LOWsrc/pc-app.ts121 RenderHandler,COMMENT
LOWsrc/ui/perf-overlay.ts21COMMENT
LOWsrc/data-processor/histogram-config.ts1// shared sizing constants for histogram and per-splat-mask GPU passes.COMMENT
LOWsrc/shaders/footprint-intersect-shader.ts1// Through-mode footprint selection: one thread per projected survivor tests itsCOMMENT
LOWsrc/shaders/projected-splat-projector-shader.ts361 // depth lies beyond d is the transmittance to d, and the farthest depthCOMMENT
LOWsrc/shaders/infinite-grid-shader.ts161 let pixel = max(vec2f(length(vec2f(ddxValue.x, ddyValue.x)), length(vec2f(ddxValue.y, ddyValue.y))), vec2f(1e-8));COMMENT
LOWsrc/shaders/color-grade-chunk.ts1// per-splat colour grade, evaluated identically on the GPU (here) and on theCOMMENT
LOWsrc/shaders/projected-splat-chunk.ts1// WGSL shared by the projector, the gaussian draw and the centres overlay, soCOMMENT
LOWsrc/shaders/projected-splat-shader.ts281 // mode, where a floor would dither every footprint with noiseCOMMENT
AI Slop Vocabulary1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUMsrc/doc.ts425 // (which would result in more seamless user experience), but this is not yet supported inCOMMENT
Hyper-Verbose Identifiers1 hit · 1 pts
SeverityFileLineSnippetContext
LOWsrc/data-processor/index.ts36class DataProcessor {CODE