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creator35lwb-web/VerifiMind-PEAS

https://github.com/creator35lwb-web/VerifiMind-PEAS · scanned 2026-06-17 01:51 UTC (1 month, 1 week ago)

84 raw signals (0 security + 84 graph)

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Complete repo analysis

Last scanned 1 month, 1 week ago · v2 · last Δ -17.2 (diff) · 65 actionable findings from 1 signal source. 19 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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88.9% cov · 65 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 2 High 3 Medium 13 Low 42 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 65 Crowd 0 Layer: Software 26 Api 1 Hardware 4 Security 8 Cicd 1 Quality 25

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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.

Duplicates & near-duplicates 5 findings

What it is: Same function copy-pasted into multiple modules with minor variations.

Why it matters: Each copy drifts independently — bug fixes apply to one, miss the others.

How AI causes it: AI completes the same pattern in each file rather than refactoring to a shared helper.

Fix approach: Extract the duplicated logic into the most general module both call sites already import. Add tests at the helper level.

5 matching findings on this repo

low Near-duplicate function bodies in 2 places repo-level
low Near-duplicate function bodies in 4 places repo-level
low Near-duplicate function bodies in 8 places
low Near-duplicate function bodies in 3 places repo-level
low Near-duplicate function bodies in 9 places repo-level

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Commented-out code 3 findings

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

3 matching findings on this repo

info Commented-code block (5 lines) in mcp-server/http_server.py:1837
info Commented-code block (5 lines) in mcp-server/src/verifimind_mcp/llm/provider.py…
info Commented-code block (5 lines) in mcp-server/src/verifimind_mcp/middleware/ip_b…

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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 Agent authority lacks a verifier contract: mcp-server/examples/claude_desktop_c… mcp-server/examples/claude_desktop_config.json

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