by amd2g2zz · Agent Tool · ★ 52
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/plugin marketplace add amd2g2zz/kunglao-agent
/plugin install kunglao-agent@kunglao-agentTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 52 |
| Forks | 16 |
| Language | Python |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 63/100 |
| Open Issues | 66 |
| Last Updated | 2026-10-12 |
| Created | 2026-09-03 |
| Platforms | browser, python |
| Est. Tokens | ~21k |
kunglao-agent An autonomous reverse-engineering agent that runs for hours unattended, verifies every conclusion independently, and converges only when every answer survives a mechanical oracle verdict. 🧠 plans its own route · 🔬 every claim machine-checked · ⚖️ blind verification on everything · 📈 the loop measures itself 🚀 Quick Start · ✨ Core Tech · 🧠 kunglao × Claude Code · 🎛️ How RL...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: