by ahwurm · MCP Server · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/ahwurm/localharness.gitTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. 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 | 58 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 56/100 |
| Last Updated | 2026-11-04 |
| Created | 2026-05-24 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~19k |
LocalHarness Run AI agents on the models you already run locally. LocalHarness does not serve models. It sits on top of the one you already serve — vLLM, llama.cpp, Ollama, or LM Studio — and gives it real agents: tools, memory, and permissions, written in YAML instead of Python. Point it at any OpenAI-compatible endpoint and the same agent runs.
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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: