by prime-radiant-inc · Agent Tool · ★ 100
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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 | 100 |
| Forks | 4 |
| Language | Go |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 65 |
| Last Updated | 2026-08-18 |
| Created | 2026-02-10 |
| Platforms | cli, go |
| Est. Tokens | ~18k |
Serf A non-interactive coding agent. Give it a prompt, it does the work. Serf uses the LLM's native tool-calling to read files, write files, run commands, and search code in a loop until the work is complete. It supports OpenAI, Anthropic, and Google models. For how the code is organized — modules, layout, and the build workspace — see docs/architecture.md.
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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: