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strikersam/local-llm-server

https://github.com/strikersam/local-llm-server · scanned 2026-06-16 00:23 UTC (2 months, 2 weeks ago)

458 raw signals (76 security + 382 graph)

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Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 307 actionable findings from 2 signal sources. 420 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 · 299 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 3 High 65 Medium 60 Low 125 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 8 System graph 299 Crowd 0 Layer: Quality 125 Security 77 Software 19 Frontend 25 Hardware 4 Cicd 3 Api 54

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

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Commented-out code 33 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 (6 lines) in log_watcher.py:487
info Commented-code block (5 lines) in provider_router.py:702
info Commented-code block (5 lines) in telegram_bot.py:446
info Commented-code block (7 lines) in frontend/src/v5/screens/AgentsScreen.jsx:346
info Commented-code block (5 lines) in frontend/src/v5/screens/SkillsScreen.jsx:276
info Commented-code block (6 lines) in frontend/src/v5/screens/ChatScreen.jsx:8
info Commented-code block (5 lines) in frontend/src/v5/components/ErrorBoundary.jsx:…
info Commented-code block (5 lines) in frontend/src/pages/ProvidersPage.js:39
info Commented-code block (5 lines) in router/health.py:94
info Commented-code block (7 lines) in tests/conftest.py:38
info Commented-code block (6 lines) in tests/test_sqlite_store.py:207
info Commented-code block (5 lines) in tests/test_company_api.py:95

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Config drift 5 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.

5 matching findings on this repo

high Agent instruction/config may expose a secret: docs/agents.md docs/agents.md:86
high Agent instruction/config may expose a secret: .claude/state/improvement-state.j… .claude/state/improvement-state.json:408
high Agent instruction/config may expose a secret: .claude/skills/perplexity/SKILL.md .claude/skills/perplexity/SKILL.md:77
high FastAPI POST `configure` without auth dependency — service_daemon.py:276 service_daemon.py:276
high Dangling fetch: POST http://localhost:3001/api/configure (frontend/src/pages/Se…

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