Repository Analysis

zhongerxin/Cowart

3.9 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of zhongerxin/Cowart, a JavaScript project with 4,583 GitHub stars. SynthScan v2.0 examined 14,848 lines of code across 21 source files, recording 83 pattern matches distributed across 1 syntactic category. The overall adjusted score of 3.9 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).

3.9
Adjusted Score
3.9
Raw Score
100%
Time Factor
2026-07-13
Last Push
4.6K
Stars
JavaScript
Language
14.8K
Lines of Code
21
Files
83
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

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 0HIGH 0MEDIUM 0LOW 83

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 83 distinct pattern matches across 1 syntactic category. 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 Identifiers83 hits · 58 pts
SeverityFileLineSnippetContext
LOWvite.config.js91async function sanitizeCanvasSnapshotForServer(snapshot) {CODE
LOWvite.config.js261function localAssetFilePathFromUrl(src) {CODE
LOWsrc/canvasSnapshot.js37function pruneRecordsWithMissingDependencies(store, skippedRecords) {CODE
LOWsrc/canvasSnapshot.js58function normalizeImageShapeRecord(record) {CODE
LOWsrc/canvasSnapshot.js76export function sanitizeCanvasSnapshotForTldraw(snapshot) {CODE
LOWsrc/App.jsx1159function collectAnnotationEditShapeIds(editor, imageShapeId) {CODE
LOWsrc/App.jsx1168function collectHtmlDraftAnnotationShapeIds(editor, draftShapeId) {CODE
LOWsrc/App.jsx1177function collectAiSlidesAnnotationShapeIds(editor, slidesShapeId) {CODE
LOWsrc/App.jsx1186function buildAnnotationEditPrompt({ imageShapeId, shapeIds, exportWidth, exportHeight, screenshotAsset }) {CODE
LOWsrc/App.jsx1236function getAnnotationEditExportPixelRatio(bounds) {CODE
LOWsrc/App.jsx1243function annotationEditScreenshotFileName() {CODE
LOWsrc/App.jsx1248function annotationHtmlScreenshotFileName() {CODE
LOWsrc/App.jsx318async function hydrateCowartHtmlDraftLocalImages(htmlContent) {CODE
LOWsrc/App.jsx346function isCowartHtmlDraftAssetUrl(src) {CODE
LOWsrc/App.jsx354function cowartHtmlDraftAssetUrlFromVirtualUrl(src) {CODE
LOWsrc/App.jsx368function cowartHtmlDraftVirtualUrl(assetUrl) {CODE
LOWsrc/App.jsx391function revokeCowartAssetObjectUrls() {CODE
LOWsrc/App.jsx412async function resolveCowartTldrawAssetUrl(asset) {CODE
LOWsrc/App.jsx448function storeChangedSinceSnapshot(editor, baselineStore) {CODE
LOWsrc/App.jsx465function applyRemoteCanvasSnapshot(editor, snapshot, { preserveLocalChanges = false } = {}) {CODE
LOWsrc/App.jsx551function isCowartHtmlDraftEmbedShape(shape) {CODE
LOWsrc/App.jsx572function collectRemovedImageShapeIds(changes) {CODE
LOWsrc/App.jsx652function createAiImageHolderAtViewportCenter(editor) {CODE
LOWsrc/App.jsx691function createAiDraftHolderAtViewportCenter(editor) {CODE
LOWsrc/App.jsx730function createAiSlidesAtViewportCenter(editor) {CODE
LOWsrc/App.jsx805function adoptGeneratedAiSlidesItems(editor) {CODE
LOWsrc/App.jsx823function normalizeAiDraftHolderLabels(editor) {CODE
LOWsrc/App.jsx836function copySelectedCowartContent(editor, event) {CODE
LOWsrc/App.jsx858function rememberAiSlidesPasteTarget(editor) {CODE
LOWsrc/App.jsx880function preparePastedItemForAiSlides(editor, shape, source) {CODE
LOWsrc/App.jsx898function movePastedItemsIntoAiSlides(editor) {CODE
LOWsrc/App.jsx947function startEditingAnnotationArrowLabel(editor, arrowId) {CODE
LOWsrc/App.jsx960function pinAnnotationArrowLabelPosition(editor, arrowId, attempt = 0) {CODE
LOWsrc/App.jsx987function selectAnnotationTextWhenReady(editor, arrowId, attempt = 0) {CODE
LOWsrc/App.jsx1011function selectAnnotationTextRange(editor, arrowId) {CODE
LOWsrc/App.jsx1057function getDefaultAnnotationArrowBend(dx, dy, scale) {CODE
LOWsrc/App.jsx1112function collectAnnotationTargetShapeIds(editor, targetShapeId, isTargetShape, invalidTargetMessage) {CODE
LOWsrc/App.jsx1206function buildAnnotationHtmlPrompt({ imageShape, shapeIds, exportWidth, exportHeight, screenshotAsset }) {CODE
LOWsrc/App.jsx1290function supportsCowartMessageImages() {CODE
LOWsrc/App.jsx1294async function sendAnnotationEditRequest(editor, imageShapeId) {CODE
LOWsrc/App.jsx1343async function sendAnnotationHtmlRequest(editor, imageShapeId) {CODE
LOWsrc/App.jsx1435function serializeCowartHtmlDraftDocument(iframeDocument) {CODE
LOWsrc/App.jsx1488function captureCowartDomTextSelection(iframeDocument) {CODE
LOWsrc/App.jsx1503function restoreCowartDomTextSelection(iframeDocument, selectionSnapshot) {CODE
LOWsrc/App.jsx1527function createCowartHtmlDraftDomEditorSession(iframeDocument, { onSave, onRequestExit }) {CODE
LOWsrc/App.jsx1697async function waitForHtmlDraftCaptureReady(iframeDocument) {CODE
LOWsrc/App.jsx1716function getCowartHtmlDraftAssetUrl(shape) {CODE
LOWsrc/App.jsx1724function getCowartHtmlDraftLocalPath(shape) {CODE
LOWsrc/App.jsx1737async function renderCowartHtmlDraftCanvas(shape, pixelRatio) {CODE
LOWsrc/App.jsx1813async function readCowartHtmlDraftContent(shape) {CODE
LOWsrc/App.jsx2077async function exportCowartHtmlDraftAnnotationScreenshot(editor, draftShapeId) {CODE
LOWsrc/App.jsx2135async function exportCowartSlidesAnnotationScreenshot(editor, slidesShapeId) {CODE
LOWsrc/App.jsx2206function aiSlidesAnnotationScreenshotFileName() {CODE
LOWsrc/App.jsx2211function createAiSlidesBelowSource(editor, sourceSlidesShape) {CODE
LOWsrc/App.jsx2250function buildAiSlidesAnnotationEditPrompt({CODE
LOWsrc/App.jsx2297async function sendAiSlidesAnnotationEditRequest(editor, slidesShapeId) {CODE
LOWsrc/App.jsx2350function htmlDraftAnnotationScreenshotFileName(mode) {CODE
LOWsrc/App.jsx2355function buildHtmlDraftAnnotationEditPrompt({ draftShape, exportResult, screenshotAsset }) {CODE
LOWsrc/App.jsx2385function buildHtmlDraftAnnotationImagePrompt({ draftShape, exportResult, screenshotAsset }) {CODE
LOWsrc/App.jsx2412async function sendHtmlDraftAnnotationRequest(editor, draftShapeId, mode) {CODE
23 more matches not shown…