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42 of your 74 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 3.29s · analysis 13.82s · 18.7 MB · GitHub preflight 397ms

foru17/make-x-great-again

https://github.com/foru17/make-x-great-again · scanned 2026-06-06 00:36 UTC (4 days, 1 hour ago) · 10 languages

253 raw signals (71 security + 182 graph) 74th percentile · Typescript · small (2-20K LoC) System graph score 72 (higher by 7)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 1 hour ago · v2 · 140 actionable findings from 2 signal sources. 22 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
78.9
/100
Security checks
86
53 findings
System graph
72
88.9% cov · 87 findings
Critical
17
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 100.0 0.15 15.00
security_score 79.1 0.25 19.77
testing_score 50.0 0.20 10.00
documentation_score 100.0 0.15 15.00
practices_score 90.0 0.15 13.50
code_quality 54.0 0.10 5.40
Overall 1.00 78.7
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 17 High 14 Medium 18 Low 77 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 53 System graph 87 Crowd 0 Layer: Software 35 Quality 52 Cicd 5 Security 1 Frontend 6 Network 1 Api 40
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": 1400, "gap_fingerprint": "...",
 "vote": "false_positive", "reason": "test fixture, not a credential"}
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    POST /api/v1/agents/report/
{"agent_token": "...", "repo_id": 1400, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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