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34 of your 74 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 39.42s for a 47.1 MB repo slow.
  • Repobility's analysis ran in 2.14s after the clone landed.

humanlayer/12-factor-agents

https://github.com/humanlayer/12-factor-agents.git · scanned 2026-05-20 01:29 UTC (2 weeks, 2 days ago) · 10 languages

422 findings (74 legacy + 348 scanner) 11/13 scanners ran 38th percentile · Typescript · small (2-20K LoC) Scanner says 82 (lower by 22)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 2 days ago · v2 · 248 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
74.7
/100
Repobility
67
74 legacy
9-layer
83
77.8% cov · 174 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 40.0 0.15 6.00
security_score 100.0 0.25 25.00
testing_score 30.0 0.20 6.00
documentation_score 67.0 0.15 10.05
practices_score 40.0 0.15 6.00
code_quality 77.0 0.10 7.70
Overall 1.00 60.8
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: layer: integrity × excluding tests × Reset all
Severity: Critical 0 High 55 Medium 3 Low 171 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 74 9-layer 174 Crowd 0 Layer: Quality 80 Software 24 Frontend 136 Security 1 Cicd 1 Api 6
Scan summary Repository scanned at 82.5/100 with 77.8% coverage. It contains 765 nodes across 6 cross-layer flows, written primarily in mixed languages. Engine surfaced 174 findings — concentrated in frontend (136), software (24), quality (6). Risk profile is low: 0 critical, 0 high, 3 medium. Recommended next step: open the frontend layer findings first — that's where the highest-impact wins live.

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