Public scan — anyone with this URL can view this analysis. Sign up to track your own repos privately, run scheduled re-scans, and get AI fix prompts via your dashboard.

bwicarus/obsidian-claudecode-skills

https://github.com/bwicarus/obsidian-claudecode-skills · scanned 2026-06-17 01:44 UTC (1 month, 1 week ago)

305 raw signals (0 security + 305 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 1 week ago · v2 · last Δ -16.3 (diff) · 287 actionable findings from 1 signal source. 18 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all

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 2 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.
2 matching findings on this repo
  • low Near-duplicate function bodies in 2 places repo-level
  • low Near-duplicate function bodies in 4 places
View all duplicates & near-duplicates findings →
Legacy markers 4 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.
4 matching findings on this repo
  • medium Insecure pattern 'direct_innerhtml_assignment' in _server_deploy/static/pdf/rea… _server_deploy/static/pdf/reader.src/14-textlayer…:80
  • low Old/deprecated-named symbol `_file_hash_legacy` in scripts/cleanup_orphans.py:1…
  • low Old/deprecated-named symbol `_file_hash_legacy` in scripts/note_state.py:44
  • low Old/deprecated-named symbol `is_trivial_mechanical_legacy` in scripts/kg/auto_a…
View all legacy markers findings →
Commented-out code 14 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 scripts/find_jeff_videos.py:44
  • info Commented-code block (5 lines) in scripts/embed_ocr_to_pdf.py:207
  • info Commented-code block (7 lines) in scripts/export_dashboard.py:102
  • info Commented-code block (5 lines) in scripts/preprocess_book.py:207
  • info Commented-code block (8 lines) in scripts/anki_status.py:92
  • info Commented-code block (5 lines) in scripts/kg/link_and_mastery.py:32
  • info Commented-code block (6 lines) in _server_deploy/app.py:131
  • info Commented-code block (5 lines) in _server_deploy/static/pdf/reader.js:1604
  • info Commented-code block (5 lines) in _server_deploy/static/pdf/reader.src/07-conti…
  • info Commented-code block (5 lines) in _server_deploy/static/pdf/reader.src/19-dict.…
  • info Commented-code block (5 lines) in _server_deploy/static/pdf/reader.src/15-phras…
  • info Commented-code block (5 lines) in _server_deploy/static/pdf/reader.src/23-books…
View all commented-out code findings →
Config drift 8 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.
8 matching findings on this repo
  • high Flask mutation route `control_config` without `@login_required` — _server_deplo… _server_deploy/control.py:217
  • high Dangling fetch: GET /pdf/api/translate-config (_server_deploy/static/pdf/reader…
  • high Dangling fetch: POST /pdf/api/translate-config (_server_deploy/static/pdf/reade…
  • high Dangling fetch: GET /pdf/api/translate-config (_server_deploy/static/pdf/reader…
  • high Dangling fetch: POST /pdf/api/translate-config (_server_deploy/static/pdf/reade…
  • low Unused endpoint: ANY /control/api/config/schema
  • low Unused endpoint: ANY /control/api/ipad-config
  • low Unused endpoint: ANY /control/api/config
View all config drift findings →
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
For AI agents + API integrations
Email me when this repo regresses
Free. We re-scan periodically; new criticals → your inbox. No signup required for the scan itself.
API access

This page is publicly accessible at: https://repobility.com/scan/64c62b53-4847-4b2e-b956-095ab8ab4ad6/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/64c62b53-4847-4b2e-b956-095ab8ab4ad6/

Important — please don't re-submit the same URL repeatedly. The submission endpoint is idempotent: re-submitting the same git URL returns this same scan_token, not a new one. To re-scan this repo, sign up free and use the dashboard.