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Scan timing: clone 2.63s · analysis 7.19s · 5.5 MB · GitHub API rate-limit (preflight)

gma1k/podtrace

https://github.com/gma1k/podtrace · scanned 2026-06-05 19:02 UTC (4 days, 18 hours ago) · 10 languages

161 raw signals (133 security + 28 graph) 39th percentile · Go · large (100-500K LoC) System graph score 96 (lower by 25)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 18 hours ago · v2 · 100 actionable findings from 2 signal sources. 47 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
79.9
/100
Security checks
63
89 findings
System graph
97
100.0% cov · 11 findings
Critical
4
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 33.5 0.25 8.38
testing_score 85.0 0.20 17.00
documentation_score 88.0 0.15 13.20
practices_score 100.0 0.15 15.00
code_quality 50.7 0.10 5.07
Overall 1.00 71.4
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 4 High 67 Medium 5 Low 10 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 89 System graph 11 Crowd 0 Layer: Cicd 7 Quality 20 Software 65 Security 3 Api 1 Hardware 3 Frontend 1
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: 
    POST /api/v1/agents/feedback/
{"agent_token": "...", "repo_id": 1197, "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": 1197, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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