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nthack/Shadowrocket-ADBlock-Rules-Easy

https://github.com/nthack/Shadowrocket-ADBlock-Rules-Easy · scanned 2026-06-05 18:27 UTC (4 days, 19 hours ago) · 10 languages

79 raw signals (45 security + 34 graph) 33rd percentile · Python · tiny (<2K LoC) System graph score 88 (lower by 28)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 19 hours ago · v2 · 37 actionable findings from 2 signal sources. 25 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
79.2
/100
Security checks
71
23 findings
System graph
88
77.8% cov · 14 findings
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 55.0 0.15 8.25
security_score 98.4 0.25 24.60
testing_score 0.0 0.20 0.00
documentation_score 60.0 0.15 9.00
practices_score 65.0 0.15 9.75
code_quality 77.4 0.10 7.74
Overall 1.00 59.3
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 1 Medium 11 Low 10 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 23 System graph 14 Crowd 0 Layer: Quality 27 Software 5 Cicd 2 Api 1 Frontend 1 Security 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
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       "model": "claude-sonnet-4.5", "scopes": ["read", "feedback", "report"]}'
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 "vote": "false_positive", "reason": "test fixture, not a credential"}
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 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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