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xingfanxia/AX-skills

https://github.com/xingfanxia/AX-skills · scanned 2026-06-16 01:02 UTC (2 months, 1 week ago)

84 raw signals (0 security + 84 graph)

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Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 81 actionable findings from 1 signal source. 3 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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77.8% cov · 81 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 3 Medium 26 Low 44 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 81 Crowd 0 Layer: Software 28 Frontend 8 Security 12 Cicd 1 Quality 32

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 6 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/`.

6 matching findings on this repo

info Commented-code block (8 lines) in gpt-image/generate.py:48
info Commented-code block (5 lines) in pet-forge/tools/chroma_key.py:94
info Commented-code block (8 lines) in pet-forge/prompts/template.example.js:54
info Commented-code block (8 lines) in pet-forge/prompts/template.ragdoll.example.js…
info Commented-code block (8 lines) in pet-forge/prompts/template.munchkin.example.j…
info Commented-code block (6 lines) in apple-pdf/apple_pdf.py:1

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Config drift 3 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.

3 matching findings on this repo

high Agent instruction/config may expose a secret: proxy-node-setup/SKILL.md proxy-node-setup/SKILL.md:32
high Agent instruction/config may expose a secret: gpt-image/SKILL.md gpt-image/SKILL.md:107
high Agent instruction/config may expose a secret: pet-forge/SKILL.md pet-forge/SKILL.md:98

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