AI Slop Code Risk Monitor

Open-Dev-Society/OpenStock

SlopCodeMonitor badge for Open-Dev-Society/OpenStock Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).

OpenStock is an open-source alternative to expensive market platforms. Track real-time prices, set personalized alerts, and explore detailed company insights — built openly, for everyone, forever free.

1.9 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for Open-Dev-Society/OpenStock, a TypeScript project with 21,001 GitHub stars. SynthScan examined 33,372 lines of code across 162 source files, recording 36 pattern matches distributed across 6 syntactic categories. The legacy adjusted pattern signal is 1.9 (Low pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

1.9
Adjusted Signal
1.9
Raw Pattern Score
100%
Time Factor
2026-10-31
Last Push
21.0K
Stars
TypeScript
Language
33.4K
Lines of Code
162
Files
36
Pattern Hits
2026-10-31
Scan Date
0.00
HC Hit Rate

Risk Review · Payload v1

Use each vector to guide manual verification of the underlying findings.

Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.

Cognitive Ownership Risk 5.4/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 25 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.6/100 · LOW

Are imports declared and package/API names verified? 4 finding(s).

Agent Over-Engineering Ratio 4.0/100 · LOW

Are wrappers, guards, and repeated structures necessary? 13 finding(s).

PR Review Velocity Impact 7.2/100 · LOW

Which changes need focused human review? 36 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 0HIGH 0MEDIUM 7LOW 29

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 36 distinct pattern matches across 6 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. 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 configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Decorative Section Separators7 hits · 21 pts
SeverityFileLineSnippetContext
MEDIUM__tests__/ai-provider.test.ts10// ── getProviderConfig ──────────────────────────────────────────────COMMENT
MEDIUM__tests__/ai-provider.test.ts71// ── getFallbackProviderName ────────────────────────────────────────COMMENT
MEDIUM__tests__/ai-provider.test.ts100// ── callAIProvider ─────────────────────────────────────────────────COMMENT
MEDIUM__tests__/ai-provider.test.ts254// ── MiniMax request boundary ───────────────────────────────────────COMMENT
MEDIUM__tests__/ai-provider.test.ts318// ── callAIProviderWithFallback ─────────────────────────────────────COMMENT
MEDIUMlib/ai-provider.ts80// ── Provider call implementations ──────────────────────────────────COMMENT
MEDIUMlib/ai-provider.ts147// ── Public API ─────────────────────────────────────────────────────COMMENT
Verbosity Indicators9 hits · 15 pts
SeverityFileLineSnippetContext
LOWlib/inngest/functions.ts61 // Step 1: Fetch General Market NewsCOMMENT
LOWlib/inngest/functions.ts88 // Step 3: Send Broadcast via KitCOMMENT
LOWlib/inngest/functions.ts202 // Step 1: Fetch active alertsCOMMENT
LOW⚡lib/inngest/functions.ts222 // Step 2: Group by symbolCOMMENT
LOW⚡lib/inngest/functions.ts225 // Step 3: Fetch pricesCOMMENT
LOWlib/inngest/functions.ts244 // Step 4: Check conditionsCOMMENT
LOWlib/inngest/functions.ts265 // Step 5: Email the alert owner, then mark triggeredCOMMENT
LOWlib/inngest/functions.ts327 // Step 1: Fetch Inactive UsersCOMMENT
LOWlib/inngest/functions.ts364 // Step 2: Send EmailsCOMMENT
Structural Annotation Overuse9 hits · 15 pts
SeverityFileLineSnippetContext
LOWlib/inngest/functions.ts61 // Step 1: Fetch General Market NewsCOMMENT
LOWlib/inngest/functions.ts88 // Step 3: Send Broadcast via KitCOMMENT
LOWlib/inngest/functions.ts202 // Step 1: Fetch active alertsCOMMENT
LOW⚡lib/inngest/functions.ts222 // Step 2: Group by symbolCOMMENT
LOW⚡lib/inngest/functions.ts225 // Step 3: Fetch pricesCOMMENT
LOWlib/inngest/functions.ts244 // Step 4: Check conditionsCOMMENT
LOWlib/inngest/functions.ts265 // Step 5: Email the alert owner, then mark triggeredCOMMENT
LOWlib/inngest/functions.ts327 // Step 1: Fetch Inactive UsersCOMMENT
LOWlib/inngest/functions.ts364 // Step 2: Send EmailsCOMMENT
Hyper-Verbose Identifiers6 hits · 6 pts
SeverityFileLineSnippetContext
LOWscripts/resolve_srv.js13async function getStandardConnectionString() {CODE
LOWlib/ai-provider.ts170export async function callAIProviderWithFallback(CODE
LOWlib/utils.ts240export function formatSymbolForTradingView(symbol: string): string {CODE
LOWlib/actions/adanos.actions.ts68export async function getStockSentimentInsights(CODE
LOWlib/actions/adanos.helpers.ts138export function buildStockSentimentInsights(CODE
LOWlib/actions/user.actions.ts29export async function getWatchlistSymbolsByEmail(email: string): Promise<string[]> {CODE
Fake / Example Data4 hits · 4 pts
SeverityFileLineSnippetContext
LOW__tests__/welcome-email.test.ts15 email: 'user@example.com',CODE
LOW__tests__/reset-password-email.test.ts32 email: 'user@example.com',CODE
LOW__tests__/reset-password-email.test.ts48 await sendPasswordResetEmail({ email: 'user@example.com', name: 'User', resetUrl });CODE
LOW__tests__/reset-password-email.test.ts62 email: 'user@example.com',CODE
Over-Commented Block1 hit · 1 pts
SeverityFileLineSnippetContext
LOWlib/inngest/functions.ts441 try {COMMENT