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jingyaogong/minimind-o

https://github.com/jingyaogong/minimind-o · scanned 2026-05-16 22:30 UTC (18 hours, 52 minutes ago) · 10 languages

47 findings (15 legacy + 32 scanner) 13th percentile · Python · small (2-20K LoC) Scanner says 74 (lower by 23)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 18 hours, 52 minutes ago · v1 · 47 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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Severity distribution — click a segment to filter
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Severity: Critical 0 High 11 Medium 14 Low 21 Source: Legacy 15 9-layer 32 Crowd 0 Layer: Quality 10 Security 21 Software 5 Frontend 1 Cicd 1 Api 9

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 2 findings
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).
2 matching findings on this repo
  • medium Public web service has no security.txt .well-known/security.txt
  • low Duplicated implementation block across source files webui/web_demo.py:29
View all fragile runtime findings →
Config drift 1 finding
What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.
Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.
How AI causes it: AI writes new config from memory rather than reading the existing source.
Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.
1 matching finding on this repo
  • medium No CI/CD configuration found
View all config drift 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.
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