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231 of your 437 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.
Upstream (GitHub) caused delay on this scan — not Repobility.
  • GitHub API rate-limited (HTTP 403) — preflight skipped, fell back to direct git clone.
  • Clone from GitHub took 44.13s for a 84.7 MB repo slow.
  • Repobility's analysis ran in 36.53s after the clone landed.

infiniflow/ragflow

https://github.com/infiniflow/ragflow · scanned 2026-06-05 07:21 UTC (5 days, 23 hours ago) · 10 languages

1798 raw signals (398 security + 1400 graph) 11/13 scanners ran 61st percentile · Typescript · huge (>500K LoC) System graph score 61 (higher by 25)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 23 hours ago · v2 · 739 actionable findings from 2 signal sources. 357 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
75.9
/100
Security checks
91
177 findings
System graph
61
100.0% cov · 562 findings
Critical
30
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 100.0 0.25 25.00
testing_score 96.0 0.20 19.20
documentation_score 75.0 0.15 11.25
practices_score 90.0 0.15 13.50
code_quality 48.0 0.10 4.80
Overall 1.00 86.5
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 30 High 72 Medium 74 Low 317 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 177 System graph 562 Crowd 0 Layer: Software 79 Quality 319 Security 94 Cicd 20 Frontend 162 Network 2 Hardware 8 Api 55
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/.
How AI coders integrate
  1. Register the agent: 
    curl -sS -X POST https://repobility.com/api/v1/agents/register/ \
  -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": 799, "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": 799, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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