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NVIDIA-TAO/tao-skills-bank

https://github.com/NVIDIA-TAO/tao-skills-bank.git · scanned 2026-06-24 18:54 UTC (1 month ago) · 10 languages

426 raw signals (77 security + 349 graph) 0th percentile · Python · small (2-20K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month ago · v1 · 271 actionable findings from 2 signal sources. 155 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 · 226 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	40.0	0.15	6.00
`security_score`	37.0	0.25	9.25
`testing_score`	0.0	0.20	0.00
`documentation_score`	100.0	0.15	15.00
`practices_score`	65.0	0.15	9.75
`code_quality`	57.0	0.10	5.70
Overall		1.00	45.7

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 5 High 84 Medium 121 Low 36 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 45 System graph 226 Crowd 0 Layer: Quality 51 Software 31 Cicd 6 Security 177 Network 2 Hardware 4

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 4 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.

4 matching findings on this repo

low Near-duplicate function bodies in 6 places
low Near-duplicate function bodies in 2 places repo-level
low Near-duplicate function bodies in 3 places
low Near-duplicate function bodies in 4 places

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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 (5 lines) in skills/applications/tao-run-deft-aoi/scripts/…

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Config drift 4 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.

4 matching findings on this repo

high Agent instruction/config may expose a secret: skills/platform/tao-run-on-kubern… skills/platform/tao-run-on-kubernetes/SKILL.md:127
high Agent instruction/config may expose a secret: skills/core/tao-launch-workflow/S… skills/core/tao-launch-workflow/SKILL.md:346
medium SkillSpector RA2 (rogue-agent) in skills/applications/tao-run-deft-aoi/eval.con… skills/applications/tao-run-deft-aoi/eval.config:17
medium CI is configured but no tests are detected

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