CleverRaven/Cataclysm-DDA

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92 of your 132 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Upstream (GitHub) caused delay on this scan — not Repobility.

GitHub API rate-limited (HTTP 403) — preflight skipped, fell back to direct git clone.
Clone from GitHub took 54.52s for a 151.4 MB repo slow.
Repobility's analysis ran in 24.19s after the clone landed.

https://github.com/CleverRaven/Cataclysm-DDA · scanned 2026-06-05 20:11 UTC (4 days, 14 hours ago) · 10 languages

322 raw signals (124 security + 198 graph) 11/13 scanners ran System graph score 87 (lower by 4)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 14 hours ago · v2 · 123 actionable findings from 2 signal sources. 99 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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88.9% cov · 75 findings

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`	76.0	0.20	15.20
`documentation_score`	75.0	0.15	11.25
`practices_score`	96.0	0.15	14.40
`code_quality`	41.0	0.10	4.10
Overall		1.00	82.7

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 13 Medium 21 Low 57 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 48 System graph 75 Crowd 0 Layer: Quality 54 Cicd 7 Security 6 Software 45 Api 1 Frontend 2 Hardware 8

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 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 4 places

View all duplicates & near-duplicates findings →

Commented-out code 6 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/`.

6 matching findings on this repo

info Commented-code block (12 lines) in build-scripts/post-diff-as-comments.py:196
info Commented-code block (8 lines) in build-scripts/ci-iwyu-run.py:8
info Commented-code block (9 lines) in build-data/osx/dmgsettings.py:69
info Commented-code block (9 lines) in tools/generate_changelog.py:567
info Commented-code block (5 lines) in tools/spell_check.py:10
info Commented-code block (5 lines) in utilities/make_iso.py:21

View all commented-out code findings →

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