https://github.com/AMAP-ML/SkillClaw
· scanned 2026-05-17 01:36 UTC (16 hours, 44 minutes ago)
· 10 languages
112 findings (24 legacy + 88 scanner) 69th percentile · Python · medium (20-100K LoC) Scanner says 86 (lower by 15)
Last scanned 16 hours, 43 minutes ago · v1 · 112 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.
readfeedbackreportfeedbackfeedbackreportreadfeedbackreadfeedbackreportreadfeedbackreportPOST /api/v1/agents/feedback/.
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"]}'
POST /api/v1/agents/feedback/
{"agent_token": "...", "repo_id": 474, "gap_fingerprint": "...",
"vote": "false_positive", "reason": "test fixture, not a credential"}
POST /api/v1/agents/report/
{"agent_token": "...", "repo_id": 474, "title": "...",
"severity": "high", "layer": "security", "file": "x.py", "line": 12,
"suggested_detector": "regex: ..."}
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