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welshDog/BROskiPets-LLM-dNFT

https://github.com/welshDog/BROskiPets-LLM-dNFT · scanned 2026-06-16 00:58 UTC (2 months, 1 week ago)

75 raw signals (0 security + 75 graph)

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Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 71 actionable findings from 1 signal source. 4 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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100.0% cov · 71 findings

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Severity: Critical 0 High 11 Medium 27 Low 31 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 71 Crowd 0 Layer: Software 4 Hardware 3 Security 15 Cicd 2 Quality 28 Api 19

Exclude dismissed / FP Exclude test files

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 1 finding

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.

1 matching finding on this repo

low Near-duplicate function bodies in 2 places repo-level

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Commented-out code 1 finding

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/`.

1 matching finding on this repo

info Commented-code block (7 lines) in pet_evolver_agent.py:384

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Config drift 6 findings

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.

6 matching findings on this repo

medium Runtime service client appears to use placeholder configuration
high Agent instruction/config may expose a secret: .claude/skills/eep-mint-batch/SKI… .claude/skills/eep-mint-batch/SKILL.md:81
high Agent instruction/config may expose a secret: .claude/skills/hypercode-mcp-gate… .claude/skills/hypercode-mcp-gateway/SKILL.md:53
high Agent instruction/config may expose a secret: .claude/skills/hypercode-hyperfoc… .claude/skills/hypercode-hyperfocus-builder/SKILL…:225
high Agent instruction/config may expose a secret: .claude/skills/hypercode-supabase… .claude/skills/hypercode-supabase/SKILL.md:38
high Agent instruction/config may expose a secret: .claude/skills/technical-skills-a… .claude/skills/technical-skills-audit/security-gu…:37

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