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3 of your 27 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 5.54s · analysis 10.42s · 10.1 MB · GitHub API rate-limit (preflight)

trekhleb/javascript-algorithms

https://github.com/trekhleb/javascript-algorithms · scanned 2026-06-05 04:30 UTC (5 hours, 31 minutes ago) · 10 languages

150 findings (26 legacy + 124 scanner) 75th percentile · Javascript · medium (20-100K LoC) Scanner says 89 (lower by 12)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 hours, 30 minutes ago · v2 · 88 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
81.0
/100
Repobility
73
26 legacy
9-layer
89
66.7% cov · 62 gaps
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 85.0 0.15 12.75
security_score 55.0 0.25 13.75
testing_score 95.0 0.20 19.00
documentation_score 82.0 0.15 12.30
practices_score 82.0 0.15 12.30
code_quality 76.8 0.10 7.68
Overall 1.00 77.8
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 15 Medium 7 Low 55 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 26 9-layer 62 Crowd 0 Layer: Software 67 Quality 14 Api 1 Frontend 1 Security 1 Cicd 4
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
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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": 716, "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": 716, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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