基于 OpenAI gpt-image-2 API 的图片生成与编辑工具
This report presents the forensic synthetic code analysis of CookSleep/gpt_image_playground, a TypeScript project with 3,012 GitHub stars. SynthScan v2.0 examined 45,401 lines of code across 125 source files, recording 221 pattern matches distributed across 3 syntactic categories. The overall adjusted score of 4.6 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).
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.
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.
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.
The scanner identified 221 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.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | src/store.ts | 350 | function showTaskCompletionNotification(title: string, body: string) { | CODE |
| LOW⚡ | src/store.ts | 356 | function countSuccessfulOutputImages(tasks: TaskRecord[]) { | CODE |
| LOW⚡ | src/store.ts | 360 | function skipSupportPromptForImportedData(tasks: TaskRecord[]) { | CODE |
| LOW⚡ | src/store.ts | 579 | function normalizeFavoriteCollectionName(value: string) { | CODE |
| LOW⚡ | src/store.ts | 583 | function createDefaultFavoriteCollection(now = Date.now()): FavoriteCollection { | CODE |
| LOW⚡ | src/store.ts | 592 | function normalizeFavoriteCollections(value: unknown): FavoriteCollection[] { | CODE |
| LOW⚡ | src/store.ts | 615 | function ensureDefaultFavoriteCollection(collections: FavoriteCollection[]) { | CODE |
| LOW⚡ | src/store.ts | 621 | function ensureDefaultNamedCollection(collections: FavoriteCollection[]) { | CODE |
| LOW⚡ | src/store.ts | 626 | function getDefaultNamedFavoriteCollectionId(collections: FavoriteCollection[]) { | CODE |
| LOW⚡ | src/store.ts | 632 | function resolveDefaultFavoriteCollectionId(collections: FavoriteCollection[], preferredId: unknown) { | CODE |
| LOW⚡ | src/store.ts | 1094 | function getPersistableGalleryInputDraft(state: AppState) { | CODE |
| LOW⚡ | src/store.ts | 1098 | function restoreGalleryInputDraftState(draft: AgentInputDraft | null): Pick<AgentInputDraft, 'prompt' | 'inputImages' | | CODE |
| LOW⚡ | src/store.ts | 1108 | function restoreAgentInputDraftState(drafts: Record<string, AgentInputDraft>, conversationId: string | null): Pick<Agent | CODE |
| LOW⚡ | src/store.ts | 2481 | function getAgentRoundControllerKey(conversationId: string, roundId: string) { | CODE |
| LOW⚡ | src/store.ts | 2489 | function createAgentRecoveryPauseError() { | CODE |
| LOW⚡ | src/store.ts | 2495 | function isAgentRecoveryPauseError(err: unknown) { | CODE |
| LOW⚡ | src/store.ts | 2499 | function appendAgentStoppedMessage(content: string) { | CODE |
| LOW⚡ | src/store.ts | 2506 | function markAgentRoundTasksStopped(conversationId: string, roundId: string, now = Date.now()) { | CODE |
| LOW⚡ | src/store.ts | 3024 | function truncateAgentReferencePrompt(prompt: string) { | CODE |
| LOW⚡ | src/store.ts | 3029 | function createAgentAssistantFallbackItem(text: string) { | CODE |
| LOW⚡ | src/store.ts | 3036 | function parseResponseOutputFromPayload(rawResponsePayload?: string): ResponsesOutputItem[] | null { | CODE |
| LOW⚡ | src/store.ts | 3046 | function sanitizeResponseOutputItemForInput(item: ResponsesOutputItem): unknown | null { | CODE |
| LOW⚡ | src/store.ts | 4913 | function normalizeFavoriteCollectionIds(ids: unknown) { | CODE |
| LOW⚡ | src/store.ts | 4918 | function sameFavoriteCollectionIds(a: string[], b: string[]) { | CODE |
| LOW⚡ | src/store.ts | 4924 | export function getTaskFavoriteCollectionIds(task: TaskRecord) { | CODE |
| LOW⚡ | src/store.ts | 4931 | function normalizeTaskFavoriteState(task: TaskRecord, collections: FavoriteCollection[]): TaskRecord { | CODE |
| LOW | src/store.ts | 200 | export async function ensureImageThumbnailCached(id: string): Promise<{ dataUrl: string; width?: number; height?: number | CODE |
| LOW | src/store.ts | 237 | function scheduleThumbnailBackfill(ids: Iterable<string>, priority: 'visible' | 'background' = 'background') { | CODE |
| LOW | src/store.ts | 246 | function scheduleThumbnailBackfillTick() { | CODE |
| LOW | src/store.ts | 262 | async function processNextThumbnailBackfill() { | CODE |
| LOW | src/store.ts | 271 | async function getNextThumbnailBackfillBatch() { | CODE |
| LOW | src/store.ts | 285 | function getOrderedThumbnailBackfillIds() { | CODE |
| LOW | src/store.ts | 295 | function getThumbnailConcurrencyForBatch(sizes: Array<{ width?: number; height?: number }>) { | CODE |
| LOW | src/store.ts | 372 | function showSupportPromptForExistingLocalData(tasks: TaskRecord[]) { | CODE |
| LOW | src/store.ts | 457 | function normalizeAgentConversations(value: unknown): AgentConversation[] { | CODE |
| LOW | src/store.ts | 492 | function mergeImportedAgentConversations(current: AgentConversation[], imported: AgentConversation[]) { | CODE |
| LOW | src/store.ts | 509 | function mergeAgentConversationsForStorage(stored: AgentConversation[], legacy: AgentConversation[]) { | CODE |
| LOW | src/store.ts | 521 | function getPersistableResponseOutputItem(item: ResponsesOutputItem): ResponsesOutputItem { | CODE |
| LOW | src/store.ts | 539 | function getPersistableAgentConversations(conversations: AgentConversation[]): AgentConversation[] { | CODE |
| LOW | src/store.ts | 552 | function stripPersistedAgentConversations(value: unknown): unknown { | CODE |
| LOW | src/store.ts | 651 | function createAgentConversationTitle(prompt: string, fallbackTitle: string) { | CODE |
| LOW | src/store.ts | 663 | function getLatestAgentConversation(conversations: AgentConversation[]) { | CODE |
| LOW | src/store.ts | 704 | async function replaceStoredAgentConversations(conversations: AgentConversation[]) { | CODE |
| LOW | src/store.ts | 708 | function getPersistableAgentConversation(conversation: AgentConversation): AgentConversation { | CODE |
| LOW | src/store.ts | 957 | export async function deleteImageIfUnreferenced(imageId: string) { | CODE |
| LOW | src/store.ts | 1007 | function normalizeAgentInputDrafts(value: unknown, conversations: AgentConversation[]): Record<string, AgentInputDraft> | CODE |
| LOW | src/store.ts | 1019 | function normalizeAgentInputDraftsByKey(value: unknown): Record<string, AgentInputDraft> { | CODE |
| LOW | src/store.ts | 1029 | export function cleanStaleAgentInputDrafts(drafts: Record<string, AgentInputDraft>, activeConversationId: string | null, | CODE |
| LOW | src/store.ts | 1059 | function getCurrentAgentInputDraft(state: Pick<AppState, 'prompt' | 'inputImages' | 'maskDraft' | 'maskEditorImageId'>): | CODE |
| LOW | src/store.ts | 1083 | function saveActiveAgentInputDrafts(state: Pick<AppState, 'appMode' | 'activeAgentConversationId' | 'agentInputDrafts' | | CODE |
| LOW | src/store.ts | 1136 | function getPersistableAgentInputDrafts(state: AppState) { | CODE |
| LOW | src/store.ts | 1638 | async function flushAgentConversationsToIndexedDB() { | CODE |
| LOW | src/store.ts | 1673 | function getPersistableRawResponsePayload(rawResponsePayload?: string) { | CODE |
| LOW | src/store.ts | 1709 | function isAsyncCustomProviderTask(settings: AppSettings, provider: string, hasInputImages: boolean) { | CODE |
| LOW | src/store.ts | 1716 | export function markInterruptedOpenAIRunningTasks(tasks: TaskRecord[], now = Date.now()) { | CODE |
| LOW | src/store.ts | 1742 | function failOpenAITaskIfStillRunning(taskId: string, error: string, now = Date.now()) { | CODE |
| LOW | src/store.ts | 1771 | function usesConcurrentOpenAIImageRequests(profile: ApiProfile, params: TaskParams) { | CODE |
| LOW | src/store.ts | 1844 | function createSettingsForApiProfile(settings: AppSettings, profile: ApiProfile): AppSettings { | CODE |
| LOW | src/store.ts | 1860 | function getAgentProfileValidationError(settings: AppSettings): { profile: ApiProfile | null; message: string } | null { | CODE |
| LOW | src/store.ts | 1888 | function isNetworkRecoverableError(err: unknown) { | CODE |
| 159 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | package-lock.json | 6050 | "resolved": "https://registry.npmjs.org/robust-predicates/-/robust-predicates-3.0.3.tgz", | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | AGENTS.md | 36 | - 不要留 `// TODO: implement later`、`// ...` 或 stub 函数。 | CODE |