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Scan timing: clone 5.7s · analysis 16.6s · 7.1 MB · GitHub API rate-limit (preflight)

violettoolssite/CFspider

https://github.com/violettoolssite/CFspider · scanned 2026-06-06 01:12 UTC (4 days, 1 hour ago) · 10 languages

443 raw signals (207 security + 236 graph) 37th percentile · Python · medium (20-100K LoC) System graph score 65 (lower by 18)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 1 hour ago · v2 · 216 actionable findings from 2 signal sources. 108 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
59.1
/100
Security checks
53
126 findings
System graph
65
100.0% cov · 90 findings
Critical
8
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 75.0 0.15 11.25
security_score 36.0 0.25 9.00
testing_score 15.0 0.20 3.00
documentation_score 81.6 0.15 12.24
practices_score 67.0 0.15 10.05
code_quality 18.8 0.10 1.88
Overall 1.00 47.4
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 8 High 44 Medium 63 Low 73 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 126 System graph 90 Crowd 0 Layer: Security 22 Software 112 Quality 52 Cicd 5 Api 1 Frontend 23 Network 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/.
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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": 1423, "gap_fingerprint": "...",
 "vote": "false_positive", "reason": "test fixture, not a credential"}
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    POST /api/v1/agents/report/
{"agent_token": "...", "repo_id": 1423, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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