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dlcjfgmlnasa/OpSight

https://github.com/dlcjfgmlnasa/OpSight · scanned 2026-06-17 01:57 UTC (1 month, 1 week ago)

35 raw signals (0 security + 35 graph)

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Complete repo analysis

Last scanned 1 month, 1 week ago · v2 · last Δ +0.1 (diff) · 31 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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44.4% cov · 31 findings

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Severity: Critical 0 High 0 Medium 5 Low 13 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 31 Crowd 0 Layer: Software 4 Security 1 Quality 26

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

View all duplicates & near-duplicates findings →

Commented-out code 13 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/`.

12 matching findings on this repo

info Commented-code block (8 lines) in tests/integration/test_smoke_single_case.py:39
info Commented-code block (6 lines) in tests/integration/test_e2e_real_cohort_10case…
info Commented-code block (9 lines) in scripts/live_view.py:274
info Commented-code block (5 lines) in opsight/sim_clock.py:99
info Commented-code block (6 lines) in opsight/envelope.py:78
info Commented-code block (6 lines) in opsight/router.py:45
info Commented-code block (5 lines) in opsight/registry.py:72
info Commented-code block (6 lines) in opsight/llm/vllm_client.py:359
info Commented-code block (9 lines) in opsight/preprocessing/pipeline.py:30
info Commented-code block (10 lines) in opsight/preprocessing/signal_config.py:256
info Commented-code block (5 lines) in opsight/tools/signal_state_tools/extractors/a…
info Commented-code block (6 lines) in opsight/nodes/shallow_loop.py:103

View all commented-out code findings →

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

info Commented-code block (10 lines) in opsight/preprocessing/signal_config.py:256

View all config drift findings →

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