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78 of your 182 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 16.11s · analysis 14.2s · 38.7 MB · GitHub API rate-limit (preflight)

screenpipe/screenpipe

https://github.com/screenpipe/screenpipe · scanned 2026-06-05 17:44 UTC (4 days, 21 hours ago) · 10 languages

1385 raw signals (161 security + 1224 graph) 11/13 scanners ran 95th percentile · Rust · large (100-500K LoC) System graph score 44 (higher by 41)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 21 hours ago · v2 · 558 actionable findings from 2 signal sources. 215 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
63.0
/100
Security checks
82
71 findings
System graph
44
100.0% cov · 487 findings
Critical
12
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 100.0 0.25 25.00
testing_score 86.0 0.20 17.20
documentation_score 84.0 0.15 12.60
practices_score 96.0 0.15 14.40
code_quality 70.0 0.10 7.00
Overall 1.00 85.2
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 12 High 104 Medium 55 Low 211 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 71 System graph 487 Crowd 0 Layer: Quality 222 Security 48 Cicd 12 Software 56 Frontend 146 Network 2 Hardware 7 Api 65
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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  -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": 1142, "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": 1142, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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