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  • GitHub API rate-limited (HTTP 403) — preflight skipped, fell back to direct git clone.
  • Clone from GitHub took 30.21s for a 37.8 MB repo slow.
  • Repobility's analysis ran in 3.62s after the clone landed.

alumnium-hq/alumnium

https://github.com/alumnium-hq/alumnium · scanned 2026-05-31 01:23 UTC (5 days, 8 hours ago) · 10 languages

425 findings (123 legacy + 302 scanner) 11/13 scanners ran 91st percentile · Typescript · medium (20-100K LoC) Scanner says 71 (higher by 14)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 8 hours ago · v2 · last Δ +0.1 (diff) · 277 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
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 100.0 0.25 25.00
testing_score 100.0 0.20 20.00
documentation_score 83.0 0.15 12.45
practices_score 77.0 0.15 11.55
code_quality 78.0 0.10 7.80
Overall 1.00 85.8
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
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": 225, "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": 225, "title": "...",
     "severity": "high", "layer": "security", "file": "x.py", "line": 12,
     "suggested_detector": "regex: ..."}
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
For AI agents + API integrations
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