Repository Analysis

CookSleep/gpt_image_playground

基于 OpenAI gpt-image-2 API 的图片生成与编辑工具

4.7 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of CookSleep/gpt_image_playground, a TypeScript project with 3,567 GitHub stars. SynthScan v2.0 examined 56,202 lines of code across 162 source files, recording 250 pattern matches distributed across 3 syntactic categories. The overall adjusted score of 4.7 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).

4.7
Adjusted Score
4.7
Raw Score
100%
Time Factor
2026-08-28
Last Push
3.6K
Stars
TypeScript
Language
56.2K
Lines of Code
162
Files
250
Pattern Hits
2026-08-29
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 1LOW 249

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 250 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 Identifiers248 hits · 262 pts
SeverityFileLineSnippetContext
LOWsrc/store.ts147function showTaskCompletionNotification(title: string, body: string) {CODE
LOWsrc/store.ts153function countSuccessfulOutputImages(tasks: TaskRecord[]) {CODE
LOWsrc/store.ts157function skipSupportPromptForImportedData(tasks: TaskRecord[]) {CODE
LOWsrc/store.ts1784function getAgentRoundControllerKey(conversationId: string, roundId: string) {CODE
LOWsrc/store.ts1788function getDeletedActiveAgentTasks(conversationId: string, roundId: string, controller: AbortController) {CODE
LOWsrc/store.ts1798function createAgentRecoveryPauseError() {CODE
LOWsrc/store.ts1804function isAgentRecoveryPauseError(err: unknown) {CODE
LOWsrc/store.ts1808function appendAgentStoppedMessage(content: string) {CODE
LOWsrc/store.ts1815function markAgentRoundTasksStopped(conversationId: string, roundId: string, now = Date.now()) {CODE
LOWsrc/store.ts169function showSupportPromptForExistingLocalData(tasks: TaskRecord[]) {CODE
LOWsrc/store.ts196function mergeImportedAgentConversations(current: AgentConversation[], imported: AgentConversation[]) {CODE
LOWsrc/store.ts225function createAgentConversationTitle(prompt: string, fallbackTitle: string) {CODE
LOWsrc/store.ts237function getLatestAgentConversation(conversations: AgentConversation[]) {CODE
LOWsrc/store.ts249async function replaceStoredAgentConversations(conversations: AgentConversation[]) {CODE
LOWsrc/store.ts253function getPersistableAgentConversation(conversation: AgentConversation): AgentConversation {CODE
LOWsrc/store.ts455export async function deleteImageIfUnreferenced(imageId: string) {CODE
LOWsrc/store.ts464async function deleteStoredImageIfUnreferenced(imageId: string) {CODE
LOWsrc/store.ts1028async function flushAgentConversationsToIndexedDB() {CODE
LOWsrc/store.ts1081function isAsyncCustomProviderTask(settings: AppSettings, provider: string, hasInputImages: boolean) {CODE
LOWsrc/store.ts1094function failOpenAITaskIfStillRunning(taskId: string, error: string, now = Date.now()) {CODE
LOWsrc/store.ts1121function usesConcurrentImageRequests(settings: AppSettings, profile: ApiProfile, params: TaskParams, hasInputImages: booCODE
LOWsrc/store.ts1190function createSettingsForApiProfile(settings: AppSettings, profile: ApiProfile): AppSettings {CODE
LOWsrc/store.ts1206function getAgentProfileValidationError(settings: AppSettings): { profile: ApiProfile | null; message: string } | null {CODE
LOWsrc/store.ts1234function isNetworkRecoverableError(err: unknown) {CODE
LOWsrc/store.ts1252function getApiRequestNetworkErrorHint(CODE
LOWsrc/store.ts1358async function resolveImageSizeParamsList(CODE
LOWsrc/store.ts1767function getActiveAgentConversation(): AgentConversation {CODE
LOWsrc/store.ts1835function markAgentRoundTasksFailed(CODE
LOWsrc/store.ts1909function appendAgentAssistantMessageContent(conversationId: string, messageId: string, delta: string) {CODE
LOWsrc/store.ts1922async function generateAgentConversationTitle(CODE
LOWsrc/store.ts1981function addAgentReferencedImageIds(target: Set<string>, conversations = useStore.getState().agentConversations, inputDrCODE
LOWsrc/store.ts1996function addInputDraftReferencedImageIds(target: Set<string>, draft: AgentInputDraft | null) {CODE
LOWsrc/store.ts2001function addTaskReferencedImageIds(target: Set<string>, task: TaskRecord) {CODE
LOWsrc/store.ts2061async function deleteUnreferencedImageIds(imageIds: Iterable<string>) {CODE
LOWsrc/store.ts2078async function persistTaskStreamPartialImage(taskId: string, dataUrl: string) {CODE
LOWsrc/store.ts2106function scrubAgentOutputPayloadsForDeletedTasks(deletedTasks: TaskRecord[]) {CODE
LOWsrc/store.ts2170async function persistTaskDeletionCleanup(deletedTaskIds: string[], cleanup: ReturnType<typeof scrubAgentOutputPayloadsFCODE
LOWsrc/store.ts2185function appendAgentRecoveredToolOutputs(conversationId: string, roundId: string, additions: ResponsesOutputItem[]) {CODE
LOWsrc/store.ts2201async function continueRecoveredAgentRound(taskId: string) {CODE
LOWsrc/store.ts2440export async function regenerateAgentAssistantMessage(conversationId: string, roundId: string) {CODE
LOWsrc/store.ts3760export async function updateTasksFavoriteCollections(taskIds: string[], collectionIds: string[]) {CODE
LOWsrc/store.ts3943function getAgentRoundDeletionTaskIds(conversation: AgentConversation, round: AgentRound, tasks: TaskRecord[]) {CODE
LOWsrc/store.ts3958function hasRunningAgentDeletionWork(conversationId: string, roundIds: Set<string>, taskIds: Set<string>, state: AppStatCODE
LOWsrc/store.ts3972function cleanDeletedAgentReferences(conversation: AgentConversation, taskIds: Set<string>, assistantMessageIds: Set<strCODE
LOWsrc/store.ts4047async function deleteAgentAssistantMessageAndTasks(conversationId: string, messageId: string): Promise<AgentDeletionResuCODE
LOWsrc/store.ts4236async function completeRecoveredCustomTask(task: TaskRecord, result: Awaited<ReturnType<typeof getCustomQueuedImageResulCODE
LOWsrc/store.ts4380export async function restoreExplicitPresetConfig(ids: { providerIds: string[], profileIds: string[] }) {CODE
LOWsrc/components/InputBar.tsx28function getFavoriteCollectionTasksForBatch(collectionId: string, tasks: TaskRecord[], defaultFavoriteCollectionId: striCODE
LOWsrc/components/AgentWorkspace.tsx83function AgentWebSearchInlineStatus({ status }: { status: AgentWebSearchStatus }) {CODE
LOWsrc/components/AgentWorkspace.tsx91function AgentWebSearchStatusLines({ statuses }: { statuses: AgentWebSearchStatus[] }) {CODE
LOWsrc/components/MaskEditorModal.tsx359 function getViewportCenterCanvasPoint(): Point | null {CODE
LOWsrc/components/SettingsModal.tsx115function isPristineNewOpenAIProfile(profile: ApiProfile) {CODE
LOWsrc/components/SettingsModal.tsx132function getImportedProfileFromMergedSettings(CODE
LOWsrc/components/SettingsModal.tsx149function isProfileApiProxyEligible(settings: AppSettings, profile: ApiProfile) {CODE
LOWsrc/components/SettingsModal.tsx1014 function confirmDeleteCustomProvider(provider: CustomProviderDefinition) {CODE
LOW…components/favorites/FavoriteCollectionPickerModal.tsx19export function FavoriteCollectionPickerModal() {CODE
LOWsrc/components/favorites/useFavoriteCollectionTitle.ts4export function useFavoriteCollectionTitle() {CODE
LOWsrc/components/favorites/favoriteUtils.ts17export function getInitialCheckedCollectionIds(tasks: TaskRecord[], defaultFavoriteCollectionId: string | null) {CODE
LOW…omponents/favorites/FavoriteCollectionOverviewCard.tsx45export function FavoriteCollectionOverviewCard({CODE
LOWsrc/hooks/usePreventBackgroundScroll.ts63export function usePreventBackgroundScroll(active: boolean, allowRefs?: ScrollBoundaryRef | ScrollBoundaryRef[]) {CODE
188 more matches not shown…
AI Slop Vocabulary1 hit · 2 pts
SeverityFileLineSnippetContext
MEDIUMpackage-lock.json6452 "resolved": "https://registry.npmjs.org/robust-predicates/-/robust-predicates-3.0.3.tgz",CODE
TODO Padding1 hit · 1 pts
SeverityFileLineSnippetContext
LOWAGENTS.md36- 不要留 `// TODO: implement later`、`// ...` 或 stub 函数。CODE