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alvinreal/awesome-opensource-ai

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)

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: excluding tests × Reset all
Severity: Critical 0 High 2 Medium 3 Low 4 Source: Legacy 3 9-layer 8 Crowd 0 Layer: Quality 2 Software 1 Security 2 Api 1 Frontend 1 Cicd 4

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Fragile runtime 1 finding
What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.
Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.
How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.
Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).
1 matching finding on this repo
  • medium Average file size is 567 lines (recommend <300)
View all fragile runtime findings →
{# ── 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.
For AI agents + API integrations
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