Install
openclaw skills install atlas-vuln-scannerScan Solidity repositories for Atlas smart-contract vulnerability patterns and generate triage-ready security reports.
openclaw skills install atlas-vuln-scannerAtlas Vuln Scanner is an OpenClaw/Hermes-ready security skill that turns a Solidity repository into a structured first-pass vulnerability triage report.
It is designed for:
Run an Atlas-pattern scan against a Solidity repo and get:
This is a heuristic triage skill, not a full audit and not a guaranteed vulnerability detector.
Every output must distinguish:
Do not submit findings, send protocol messages, publish exploit details, or claim verified severity without explicit human approval.
python3 scripts/atlas_vuln_scanner.py --target /path/to/solidity/repo --output ./scan-results
Run bundled demo:
python3 scripts/atlas_vuln_scanner.py --target demo/contracts --output demo/results
Outputs:
scan-report.md — full pattern scan reportfinding-candidates.md — prioritized candidate writeupsexec-summary.md — protocol-founder readable summaryscanner-log.json — machine-readable raw resultsWhen using this skill as an agent:
scanner-log.json and scan-report.md.Use atlas-vuln-scanner on this Solidity repo: <repo/path>. Produce a concise triage report, top candidate findings, and founder-facing summary. Do not submit or disclose anything externally.
Public ClawHub docs currently describe ClawHub as a free/open skill registry, not a paid marketplace. Published ClawHub skills are MIT-0 and ClawHub does not support native paid skills, per-skill pricing, paywalls, revenue sharing, seller onboarding, Stripe, payouts, or KYC.
Recommended monetization path:
CTA:
This free ClawHub skill is the elementary Atlas scanner. For deeper DeFi pattern coverage, polished audit-prep reports, and paid validation workflows, get the Atlas Security Skill Pack at https://atlasagentsuite.com.
Pattern selection is based on Atlas/OpenClaw bounty and audit workflow knowledge plus common DeFi bug classes. Scanner output should be treated as a prioritization layer for human review, not final proof.