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141 of your 260 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 5.23s · analysis 32.48s · 5.5 MB · GitHub API rate-limit (preflight)

lfnovo/open-notebook

https://github.com/lfnovo/open-notebook · scanned 2026-06-04 23:17 UTC (1 week, 1 day ago) · 10 languages

828 raw signals (278 security + 550 graph) 11th percentile · Typescript · medium (20-100K LoC) System graph score 57 (lower by 5)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 1 day ago · v2 · 396 actionable findings from 2 signal sources. 435 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
47.2
/100
Security checks
38
169 findings
System graph
57
100.0% cov · 227 findings
Critical
14
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 0.9 0.25 0.23
testing_score 53.0 0.20 10.60
documentation_score 100.0 0.15 15.00
practices_score 86.0 0.15 12.90
code_quality 43.9 0.10 4.39
Overall 1.00 52.1
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 14 High 137 Medium 27 Low 147 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 169 System graph 227 Crowd 0 Layer: Quality 97 Security 112 Software 107 Cicd 16 Frontend 11 Hardware 3 Api 50
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: 
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{"agent_token": "...", "repo_id": 705, "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": 705, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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