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wpu-research/A.T.L.A.S

https://github.com/wpu-research/A.T.L.A.S · scanned 2026-06-16 01:00 UTC (2 months, 1 week ago)

58 raw signals (0 security + 58 graph)

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Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 54 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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77.8% cov · 54 findings

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Severity: Critical 0 High 3 Medium 18 Low 30 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 54 Crowd 0 Layer: Software 21 Frontend 2 Security 6 Cicd 1 Quality 24

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 3 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.

3 matching findings on this repo

low Near-duplicate function bodies in 5 places repo-level
low Near-duplicate function bodies in 2 places repo-level
low Near-duplicate function bodies in 3 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 (8 lines) in paper/tools/grid_layer_validation.py:299

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Config drift 2 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.

2 matching findings on this repo

low Possibly dead Python function: config_exists memory/config_manager.py:17
low Possibly dead Python function: is_configured memory/config_manager.py:49

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