Repository Analysis

XxHuberrr/Mineradio

一款以电影镜头、粒子视觉和歌词舞台为核心的沉浸式音乐播放器。

11.8 Low AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of XxHuberrr/Mineradio, a JavaScript project with 9,575 GitHub stars. SynthScan v2.0 examined 142,365 lines of code across 211 source files, recording 1735 pattern matches distributed across 3 syntactic categories. The overall adjusted score of 11.8 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).

11.8
Adjusted Score
11.8
Raw Score
100%
Time Factor
2026-08-01
Last Push
9.6K
Stars
JavaScript
Language
142.4K
Lines of Code
211
Files
1.7K
Pattern Hits
2026-08-02
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 1HIGH 0MEDIUM 0LOW 1734

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 1735 distinct pattern matches across 3 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 Identifiers1731 hits · 1673 pts
SeverityFileLineSnippetContext
LOWqishui-qr-login.js46function createQishuiQrLoginBridge(options) {CODE
LOWqishui-api.js839function qishuiMembershipLevelValue(value) {CODE
LOWqishui-api.js847function qishuiMembershipExpiryMillis(value) {CODE
LOWqishui-api.js857function qishuiMembershipObjectState(value, level) {CODE
LOWqishui-api.js1314function qishuiRequiredTierAllowed(requiredTier, membership) {CODE
LOWqishui-api.js1322function qishuiStreamAllowedForMembership(stream, membership) {CODE
LOWqishui-api.js1327function qishuiBestStreamCandidateForMembership(candidates, membership) {CODE
LOWqishui-api.js48function normalizeQishuiOAuthFileConfig(raw, file) {CODE
LOWqishui-api.js61function qishuiOAuthConfigFileCandidates() {CODE
LOWqishui-api.js76function readQishuiOAuthFileConfig() {CODE
LOWqishui-api.js124function buildQishuiOAuthAuthorizeUrl(state) {CODE
LOWqishui-api.js290function qishuiSessionCookieHeader(cookieText) {CODE
LOWqishui-api.js370function normalizeQishuiCookieInput(input) {CODE
LOWqishui-api.js1032function qishuiPlaybackMembershipFromPayload(payload) {CODE
LOWqishui-api.js1125function qishuiNormalizeDurationSeconds(value) {CODE
LOWqishui-api.js1131function qishuiNormalizeBitrateKbps(value) {CODE
LOWqishui-api.js1168function qishuiBetterStreamCandidate(a, b) {CODE
LOWqishui-api.js1185function qishuiBestStreamCandidate(candidates) {CODE
LOWqishui-api.js1207function qishuiTrackPlaybackRestriction(value) {CODE
LOWqishui-api.js1269function qishuiNormalizeRequiredTier(value) {CODE
LOWqishui-api.js1403function qishuiCollectVideoModelStreams(value, keyHint, inherited, out) {CODE
LOWqishui-api.js1427function qishuiVideoModelQualityHint(key) {CODE
LOWqishui-api.js1669async function fetchQishuiPlaybackMembership(cookieText) {CODE
LOWqishui-api.js1723function qishuiApplyMembershipObservation(historyKey, membership, now) {CODE
LOWqishui-api.js1785function qishuiMembershipCacheTtlMs(membership, now) {CODE
LOWqishui-api.js1820function invalidateQishuiLibraryCaches() {CODE
LOWqishui-api.js1850function qishuiPlaylistPrimaryLikeName(name) {CODE
LOWqishui-api.js1871function qishuiPlaylistNameFromItem(item) {CODE
LOWqishui-api.js1886function qishuiPlaylistCoverFromItem(item) {CODE
LOWqishui-api.js1900function qishuiPlaylistTrackCountFromItem(item) {CODE
LOWqishui-api.js1913function extractQishuiPlaylistCards(payload) {CODE
LOWqishui-api.js1966function buildQishuiVirtualPlaylist(id, name, songs, extra) {CODE
LOWqishui-api.js2019async function fetchQishuiWebLibraryFeedFallback(cookieText, limit) {CODE
LOWqishui-api.js2178async function fetchQishuiWebPlaylistTracks(playlistId, cookieText, opts) {CODE
LOWqishui-api.js2401function extractQishuiPcSearchItems(payload) {CODE
LOWqishui-api.js2582async function handleQishuiUserPlaylists(cookieText) {CODE
LOWqishui-api.js2678async function handleQishuiPlaylistTracks(playlistId, opts, cookieText) {CODE
LOWqishui-api.js2831async function handleQishuiCheckTracksLiked(trackIds, cookieText) {CODE
LOWqishui-api.js2863async function handleQishuiSetTrackLiked(trackId, liked, cookieText) {CODE
LOWqishui-api.js2878async function handleQishuiSetPlaylistCollected(playlistId, collected, cookieText) {CODE
LOWqishui-api.js2892async function handleQishuiPlaylistAddSong(playlistId, track, cookieText) {CODE
LOWqishui-api.js2913async function handleQishuiSetAlbumCollected(albumId, collected, cookieText) {CODE
LOWqishui-api.js2927async function handleQishuiReportRecentlyPlayed(trackId, cookieText) {CODE
LOWqishui-api.js3029async function handleQishuiCreateComment(trackId, text, cookieText) {CODE
LOWqishui-api.js3284async function resolveQishuiDownloadInfo(trackId, payload, cookieText, membership) {CODE
LOWserver.js382function refreshConfiguredCookieStores(force) {CODE
LOWserver.js388function refreshQQConfiguredCookieStore(force) {CODE
LOWserver.js394function clearAllRuntimeLoginCredentials(reason) {CODE
LOWserver.js1338function getCachedQQLikedPlaylistCover(info) {CODE
LOWserver.js1343function rememberQQLikedPlaylistCover(info, cover) {CODE
LOWserver.js1351function clearQQLikedPlaylistCoverCache() {CODE
LOWserver.js1430function neteaseSourceMatchDurationMs(value) {CODE
LOWserver.js1435function neteaseSourceMatchArtists(song) {CODE
LOWserver.js1442function neteaseSourceMatchVersionTokens(song) {CODE
LOWserver.js1534function neteaseSourceMatchCacheKey(id, hints) {CODE
LOWserver.js1543function readNeteaseSourceMatchCache(key) {CODE
LOWserver.js1553function writeNeteaseSourceMatchCache(key, candidates) {CODE
LOWserver.js1557function neteaseSourceMatchHintArtists(hints) {CODE
LOWserver.js215function rememberListenSyncSubmission(key, result) {CODE
LOWserver.js230function applySystemCertificateAuthorities() {CODE
1671 more matches not shown…
Hallucination Indicators1 hit · 10 pts
SeverityFileLineSnippetContext
CRITICAL…c/js/modules/02-visual/07-lyrics-palette-text-utils.js111 if (data.sparkMat.uniforms && data.sparkMat.uniforms.uColor) data.sparkMat.uniforms.uColor.value.copy(color);CODE
Over-Commented Block3 hits · 3 pts
SeverityFileLineSnippetContext
LOWpublic/js/modules/09-idle-toast-libraries.js801// 摄像头 / 手势 v8 — 仅保留手势, 头部追踪已下线COMMENT
LOW…lic/js/modules/02-visual/00-pointer-cover-particles.js1041COMMENT
LOWpublic/js/modules/02-visual/15-ripples-cover-depth.js641 scheduleVisualApply(runHeavyCoverWork, heavyDelay, heavyTimeout);COMMENT