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119 of your 374 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 2.4s · analysis 19.37s · 4.5 MB · GitHub API rate-limit (preflight)

SREGym/SREGym

https://github.com/SREGym/SREGym · scanned 2026-06-05 23:42 UTC (4 days, 5 hours ago) · 10 languages

696 raw signals (344 security + 352 graph) 38th percentile · Python · medium (20-100K LoC) System graph score 71 (lower by 23)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 5 hours ago · v2 · 337 actionable findings from 2 signal sources. 178 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
55.1
/100
Security checks
39
193 findings
System graph
71
100.0% cov · 144 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 8.0 0.25 2.00
testing_score 49.0 0.20 9.80
documentation_score 92.0 0.15 13.80
practices_score 76.0 0.15 11.40
code_quality 25.7 0.10 2.57
Overall 1.00 48.6
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 6 High 107 Medium 74 Low 95 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 193 System graph 144 Crowd 0 Layer: Quality 123 Security 34 Software 159 Cicd 11 Hardware 7 Frontend 1 Api 2
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/.
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  -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": 1363, "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": 1363, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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