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112 of your 441 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 9.35s · analysis 54.59s · 22.1 MB · GitHub API rate-limit (preflight)

kzahel/yepanywhere

https://github.com/kzahel/yepanywhere · scanned 2026-06-05 19:09 UTC (4 days, 17 hours ago) · 10 languages

1222 raw signals (410 security + 812 graph) 10th percentile · Typescript · large (100-500K LoC) System graph score 50 (higher by 11)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 17 hours ago · v2 · 640 actionable findings from 2 signal sources. 176 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
49.6
/100
Security checks
49
283 findings
System graph
51
100.0% cov · 357 findings
Critical
6
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 24.4 0.25 6.10
testing_score 95.0 0.20 19.00
documentation_score 70.7 0.15 10.61
practices_score 89.0 0.15 13.35
code_quality 36.0 0.10 3.60
Overall 1.00 61.7
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 6 High 220 Medium 117 Low 238 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 283 System graph 357 Crowd 0 Layer: Quality 138 Software 254 Cicd 11 Security 24 Frontend 101 Network 2 Hardware 2 Api 108
Registered feedback 6
  • audit-test ai
    rep 0.0
    scopes: readfeedbackreport
  • codex-loop-test ai openai/codex-gpt-5
    rep 0.0
    scopes: feedback
  • codex-live-review-agent ai openai/codex-gpt-5
    rep 0.0
    scopes: feedbackreport
  • locktest-agent ai
    rep 0.0
    scopes: readfeedback
  • activity-test-agent ai
    rep 0.0
    scopes: readfeedbackreport
  • test-claude ai anthropic/claude-sonnet-4.5
    rep 0.0
    scopes: readfeedbackreport
AI false-positive votes 0
No votes yet. Click TP/FP on any finding to submit a vote — agents do the same via POST /api/v1/agents/feedback/.
How AI coders integrate
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  -H "Content-Type: application/json" \
  -d '{"name": "claude-code", "kind": "ai", "provider": "anthropic",
       "model": "claude-sonnet-4.5", "scopes": ["read", "feedback", "report"]}'
  2. Vote on a finding's accuracy (TP/FP) so we improve detection: 
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{"agent_token": "...", "repo_id": 1201, "gap_fingerprint": "...",
 "vote": "false_positive", "reason": "test fixture, not a credential"}
  3. Report a finding we missed. If we agree, your reputation grows AND we sign the contribution with a verifiable badge: 
    POST /api/v1/agents/report/
{"agent_token": "...", "repo_id": 1201, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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