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pewdiepie-archdaemon/odysseus

https://github.com/pewdiepie-archdaemon/odysseus · scanned 2026-06-05 11:19 UTC (5 days, 13 hours ago) · 10 languages

1909 raw signals (307 security + 1602 graph) 11/13 scanners ran 95th percentile · Python · large (100-500K LoC) System graph score 66 (higher by 24)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 13 hours ago · v2 · 944 actionable findings from 2 signal sources. 164 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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Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 100.0 0.25 25.00
testing_score 100.0 0.20 20.00
documentation_score 100.0 0.15 15.00
practices_score 88.0 0.15 13.20
code_quality 45.0 0.10 4.50
Overall 1.00 90.5
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
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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 2 places repo-level
  • low Near-duplicate function bodies in 3 places repo-level
  • low Near-duplicate function bodies in 6 places repo-level
View all duplicates & near-duplicates findings →
Legacy markers 2 findings
What it is: TODO, FIXME, XXX, HACK comments. Often indicate a known-broken path the author meant to fix.
Why it matters: Each marker is an unfinished thought. Production code shouldn't ship with debt that's documented but not tracked.
How AI causes it: AI mirrors the style of the codebase, so existing TODOs propagate into new code.
Fix approach: Convert each into a ticket. Delete the comment when the ticket lands. Use a pre-commit hook to block new TODOs without an issue link.
2 matching findings on this repo
  • low Old/deprecated-named symbol `listLegacy` in static/js/admin.js:371
  • low Old/deprecated-named symbol `_migrate_from_legacy` in src/memory.py:125
View all legacy markers findings →
Commented-out code 164 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 (5 lines) in app.py:21
  • info Commented-code block (6 lines) in tests/test_security_regressions.py:803
  • info Commented-code block (5 lines) in tests/test_cookbook_helpers.py:129
  • info Commented-code block (7 lines) in tests/test_email_polly_imap_leak.py:44
  • info Commented-code block (8 lines) in tests/conftest.py:10
  • info Commented-code block (6 lines) in tests/test_skills_manager_owner_isolation.py:…
  • info Commented-code block (7 lines) in tests/test_webhook_ssrf_resilience.py:16
  • info Commented-code block (8 lines) in tests/test_session_ghost_delete.py:28
  • info Commented-code block (5 lines) in tests/test_upload_handler_atomicity.py:184
  • info Commented-code block (6 lines) in tests/test_companion_pairing.py:38
  • info Commented-code block (6 lines) in tests/test_null_owner_gates.py:21
  • info Commented-code block (8 lines) in tests/test_task_scheduler_session_delivery.py…
View all commented-out code findings →
Config drift 20 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.
12 matching findings on this repo
  • high [MINED106] Phantom test coverage: test_account_config: Test function `test_acco… routes/email_routes.py:3079
  • high [SEC027] XML External Entity (XXE) — Node.js xml parsers: Node.js XML parsers c… static/js/emailLibrary/utils.js:159
  • info Commented-code block (8 lines) in src/config.py:7
  • high FastAPI POST `save_config` without auth dependency — routes/calendar_routes.py:… routes/calendar_routes.py:593
  • high FastAPI POST `save_config` without auth dependency — routes/vault_routes.py:141 routes/vault_routes.py:141
  • high Dangling fetch: GET /api/email/config (static/js/settings.js:2760)
  • high Dangling fetch: GET /api/contacts/config (static/js/settings.js:2775)
  • high Dangling fetch: PUT /api/email/config (static/js/settings.js:2807)
  • high Dangling fetch: PUT /api/contacts/config (static/js/settings.js:2831)
  • high Dangling fetch: GET /api/calendar/config (static/js/settings.js:3202)
  • high Dangling fetch: GET /api/contacts/config (static/js/settings.js:3203)
  • high Dangling fetch: GET /api/vault/config (static/js/settings.js:3207)
View all config drift findings →
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