alvinreal/awesome-opensource-ai

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https://github.com/alvinreal/awesome-opensource-ai.git · scanned 2026-05-16 18:03 UTC (1 day, 3 hours ago) · 10 languages

19 findings (3 legacy + 16 scanner) 59th percentile · Python · tiny (<2K LoC) Scanner says 89 (lower by 17)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 day, 3 hours ago · v2 · 11 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON

{# ── 2026-05-17 R27 #5: score breakdown panel ────────────────────── Surfaces the score_breakdown JSON that's been silently stored on Repository for months. Turns hidden math into a trust signal. #}

Severity distribution — click a segment to filter

Active filters: severity: medium × excluding tests × Reset all

Scan summary Repository scanned at 88.7/100 with 66.7% coverage. It contains 32 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 8 findings — concentrated in cicd (4), api (1), frontend (1). Risk profile is low: 0 critical, 0 high, 2 medium. Recommended next step: open the cicd layer findings first — that's where the highest-impact wins live.

Showing 3 of 11 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium Legacy quality quality Average file size is 567 lines (recommend <300)

Refactor large files by extracting related functions into separate modules. Target files with 300+ lines first. Use the Single Responsibility Principle — each module should have one clear purpose.

qualitylegacy

medium 9-layer security coverage conf 1.00 No auth library detected

The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). Either auth lives in custom code, in a separate service, or is missing.

coverageauth

medium 9-layer quality tests conf 1.00 Very low test-to-source ratio

0 test file(s) for 1 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.

testscoverage

{# ── 2026-05-17 Round 14: AI-agent bridge footer ────────────────────── Discoverability: the /agents/voting/ guide + MCP manifest exist but aren't linked from anywhere users actually land. Small, opt-in footer. #}

For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.

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