Repository Analysis

steipete/summarize

Point at any URL/YouTube/Podcast or file. Get the gist. CLI and Chrome Extension.

2.8 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of steipete/summarize, a TypeScript project with 6,420 GitHub stars. SynthScan v2.0 examined 226,369 lines of code across 1317 source files, recording 615 pattern matches distributed across 8 syntactic categories. The overall adjusted score of 2.8 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).

2.8
Adjusted Score
2.8
Raw Score
100%
Time Factor
2026-07-12
Last Push
6.4K
Stars
TypeScript
Language
226.4K
Lines of Code
1.3K
Files
615
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 3MEDIUM 1LOW 611

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 615 distinct pattern matches across 8 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 Identifiers595 hits · 608 pts
SeverityFileLineSnippetContext
LOW…transcript.podcast-provider.podcast-transcript.test.ts3async function importPodcastModulesWithoutTranscription() {CODE
LOWtests/run.config.test.ts18function resolveTestConfigStateWithEnv(CODE
LOWtests/sidepanel.slides-stream-controller.test.ts17function streamWithKeepaliveAndDone(delayMs: number, keepaliveEveryMs: number) {CODE
LOW…s/transcript.podcast-provider.download-streams.test.ts6async function importPodcastProviderWithFfmpeg(plan: SpawnPlan) {CODE
LOW…ts/transcript.podcast-provider.more-branches-3.test.ts7async function importPodcastProviderWithFfmpeg(plan: SpawnPlan) {CODE
LOWtests/slides.render-inline.test.ts26function createTtyStreamWithoutColumns() {CODE
LOWtests/application.execute-summarize.test.ts72function createPreparedInputResources({CODE
LOWtests/cli.spinner-output.test.ts87function applyCarriageReturnAndClearLine(text: string): string {CODE
LOWtests/sidepanel.stream-controller.error.test.ts17function streamWithKeepaliveThenEvents(CODE
LOWtests/background-listeners.userscript.test.ts4function installChromeListenerStubs() {CODE
LOWtests/helpers/transcription-env.ts19export function stubMissingTranscriptionEnv(): void {CODE
LOWtests/helpers/application-summarize.ts11export function createTestSummarizeUrlFlowContext(options: {CODE
LOWscripts/release-formula.js25function stripExistingPlatformConfig(data) {CODE
LOWscripts/release-formula.js86export function updateFormulaForMacArtifacts(data, { urlArm, shaArm, urlX64, shaX64 }) {CODE
LOWpackages/core/src/language.ts157export function formatOutputLanguageInstruction(language: OutputLanguage): string {CODE
LOWpackages/core/src/language.ts164export function formatOutputLanguageForJson(CODE
LOWpackages/core/src/processes.ts92export function terminateTrackedProcesses(signal: NodeJS.Signals): void {CODE
LOWpackages/core/src/transcription/onnx-cli.ts17export function resolvePreferredOnnxModel(env: Env = process.env): OnnxModelId | null {CODE
LOWpackages/core/src/transcription/onnx-cli.ts185async function ensureModelArtifactsDownloaded({CODE
LOWpackages/core/src/transcription/onnx-cli.ts301export async function transcribeWithOnnxCliFile({CODE
LOW…src/transcription/whisper/diarization-openai-chunks.ts17export async function transcribeOpenAiMediaFileInChunks({CODE
LOW…src/transcription/whisper/diarization-openai-chunks.ts91async function transcribeOpenAiChunkWithRetry({CODE
LOW…src/transcription/whisper/diarization-openai-chunks.ts152export function resolveOpenAiDiarizationChunkSeconds(totalDurationSeconds: number): number {CODE
LOW…src/transcription/whisper/diarization-openai-chunks.ts157function namespaceOpenAiChunkSegments(CODE
LOWpackages/core/src/transcription/whisper/elevenlabs.ts26export async function transcribeFileWithElevenLabsDiarization({CODE
LOWpackages/core/src/transcription/whisper/elevenlabs.ts76function createLongRunningFetchDispatcher(): UndiciDispatcher | null {CODE
LOWpackages/core/src/transcription/whisper/elevenlabs.ts102export function parseElevenLabsDiarizedSegments(words: unknown): TranscriptionSegment[] {CODE
LOWpackages/core/src/transcription/whisper/diarization.ts56export function resolveDiarizationProviderOrder({CODE
LOWpackages/core/src/transcription/whisper/diarization.ts73export function buildDiarizationModelChain(providers: DiarizationProvider[]): string | null {CODE
LOWpackages/core/src/transcription/whisper/diarization.ts82export async function transcribeMediaFileWithDiarization({CODE
LOWpackages/core/src/transcription/whisper/diarization.ts188async function transcribeOpenAiMediaFile({CODE
LOWpackages/core/src/transcription/whisper/diarization.ts252export async function transcribeMediaBytesWithDiarization({CODE
LOWpackages/core/src/transcription/whisper/diarization.ts282export function buildMissingDiarizationProviderMessage(preference: DiarizationPreference): string {CODE
LOWpackages/core/src/transcription/whisper/diarization.ts296async function prepareDiarizationMediaFile({CODE
LOWpackages/core/src/transcription/whisper/diarization.ts380async function prepareOpenAiDiarizationFile({CODE
LOWpackages/core/src/transcription/whisper/diarization.ts454export function resolveOpenAiDiarizationBitrateKbps(CODE
LOWpackages/core/src/transcription/whisper/assemblyai.ts70async function submitAssemblyAiTranscript(CODE
LOWpackages/core/src/transcription/whisper/assemblyai.ts136async function transcribeUploadedAudioWithAssemblyAi(CODE
LOWpackages/core/src/transcription/whisper/assemblyai.ts188export async function transcribeFileWithAssemblyAi({CODE
LOWpackages/core/src/transcription/whisper/utils.ts15export function ensureWhisperFilenameExtension(name: string, mediaType: string): string {CODE
LOWpackages/core/src/transcription/whisper/openai.ts69export async function transcribeFileWithOpenAiDiarization({CODE
LOWpackages/core/src/transcription/whisper/openai.ts143function isIgnorableEmptyDiarizedSegment(value: unknown): boolean {CODE
LOWpackages/core/src/transcription/whisper/openai.ts157export function parseOpenAiDiarizedSegments(segments: unknown): TranscriptionSegment[] {CODE
LOWpackages/core/src/transcription/whisper/openai.ts183export function shouldRetryOpenAiViaFfmpeg(error: Error): boolean {CODE
LOWpackages/core/src/transcription/whisper/whisper-cpp.ts28export async function resolveWhisperCppModelNameForDisplay(CODE
LOWpackages/core/src/transcription/whisper/whisper-cpp.ts35export async function transcribeWithWhisperCppFile({CODE
LOWpackages/core/src/transcription/whisper/whisper-cpp.ts223async function resolveWhisperCppModelPath(CODE
LOWpackages/core/src/transcription/whisper/whisper-cpp.ts253function resolveWhisperCppModelLabelFromPath(modelPath: string): string {CODE
LOWpackages/core/src/transcription/whisper/whisper-cpp.ts263function isWhisperCppSupportedMediaType(mediaType: string): boolean {CODE
LOWpackages/core/src/transcription/whisper/core.ts44export async function transcribeMediaWithWhisper({CODE
LOWpackages/core/src/transcription/whisper/core.ts167export async function transcribeMediaFileWithWhisper({CODE
LOWpackages/core/src/transcription/whisper/preferences.ts5export function resolveTranscriberPreference(env: Env): "auto" | "whisper" | "parakeet" | "canary" {CODE
LOWpackages/core/src/transcription/whisper/preferences.ts11export function resolveOnnxModelPreference(env: Env): "parakeet" | "canary" | null {CODE
LOWpackages/core/src/transcription/whisper/ffmpeg.ts37export async function probeMediaDurationSecondsWithFfprobe(CODE
LOWpackages/core/src/transcription/whisper/local.ts52export async function transcribeWithLocalOnnxFile({CODE
LOWpackages/core/src/transcription/whisper/local.ts94export async function transcribeWithLocalWhisperBytes({CODE
LOWpackages/core/src/transcription/whisper/local.ts132export async function transcribeWithLocalWhisperFile({CODE
LOWpackages/core/src/transcription/whisper/local.ts176async function safeTranscribeWithWhisperCppFile(args: {CODE
LOWpackages/core/src/transcription/whisper/remote.ts72async function transcribeBytesAcrossProviders({CODE
LOWpackages/core/src/transcription/whisper/remote.ts158export async function transcribeBytesWithRemoteFallbacks({CODE
535 more matches not shown…
Cross-Language Confusion (JS/TS)3 hits · 15 pts
SeverityFileLineSnippetContext
HIGHsrc/markitdown.ts76 print("OCR failed: " + "; ".join(errors), file=sys.stderr)CODE
HIGHsrc/markitdown.ts88 print(markdown)CODE
HIGHsrc/markitdown.ts98print(markdown)CODE
Fake / Example Data8 hits · 8 pts
SeverityFileLineSnippetContext
LOWtests/application.execute-summarize.test.ts43 content: "placeholder",CODE
LOWtests/run.url-video-only.test.ts38 content: "placeholder",CODE
LOWtests/run.url-flow.max-extract-characters.test.ts70 const content = `<!doctype html><html><head><title>Long</title></head><body><article>${"lorem ipsum ".repeat(3000)}<CODE
LOWtests/cli.video-only-youtube-switch.test.ts41 content: "placeholder",CODE
LOWtests/slides-text.utils.test.ts678 { startSeconds: 1, text: "lorem ipsum dolor sit amet" },CODE
LOWtests/slides-text.utils.test.ts678 { startSeconds: 1, text: "lorem ipsum dolor sit amet" },CODE
LOWtests/sidepanel.bootstrap-runtime.test.ts68 setModelPlaceholderFromDiscovery: () => calls.push("placeholder"),CODE
LOWtests/sidepanel.bootstrap-runtime.test.ts132 setModelPlaceholderFromDiscovery: () => calls.push("placeholder"),CODE
Verbosity Indicators3 hits · 4 pts
SeverityFileLineSnippetContext
LOW…ps/chrome-extension/src/automation/default-skills.json36 "description": "# LinkedIn Engagement Automation\n\n**IMPORTANT FOR AI:** Multi-step workflow. You orchestrate usingCODE
LOW…ps/chrome-extension/src/automation/default-skills.json39 "examples": "// Step 1: Collect posts (on activity page)\nconst posts = await browserjs(async () => {\n return awaiCODE
LOW…ps/chrome-extension/src/automation/default-skills.json50 "library": "window.whatsapp = {\n \n // List all chats with unread status (handles virtual scrolling)\n listChatsCODE
Structural Annotation Overuse3 hits · 4 pts
SeverityFileLineSnippetContext
LOW…ps/chrome-extension/src/automation/default-skills.json36 "description": "# LinkedIn Engagement Automation\n\n**IMPORTANT FOR AI:** Multi-step workflow. You orchestrate usingCODE
LOW…ps/chrome-extension/src/automation/default-skills.json39 "examples": "// Step 1: Collect posts (on activity page)\nconst posts = await browserjs(async () => {\n return awaiCODE
LOW…ps/chrome-extension/src/automation/default-skills.json50 "library": "window.whatsapp = {\n \n // List all chats with unread status (handles virtual scrolling)\n listChatsCODE
Modern AI Meta-Vocabulary1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUM…ps/chrome-extension/src/automation/default-skills.json36 "description": "# LinkedIn Engagement Automation\n\n**IMPORTANT FOR AI:** Multi-step workflow. You orchestrate usingCODE
Example Usage Blocks1 hit · 2 pts
SeverityFileLineSnippetContext
LOWscripts/docs-serve.sh3# Usage:COMMENT
Excessive Try-Catch Wrapping1 hit · 1 pts
SeverityFileLineSnippetContext
LOWsrc/markitdown.ts71 except Exception as exc:CODE