No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by nickzsche21 · Codex Skill · ★ 116
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AirClaw safe to install? View the security audit →
AirClaw Run OpenClaw on a local model. Zero API cost. AirClaw puts one stable OpenAI-compatible endpoint in front of whatever local inference server you already run, then writes the OpenClaw config that points at it. Configure OpenClaw once; swap Ollama for llama.cpp for vLLM underneath without touching agent config again. Install from git for now. PyPI still serves 2.0.0, whose wrote a config OpenClaw ignores and then reported success. Use the command above, or grab a wheel from releases. pip install airclaw becomes the right command once 3.0.0 is published. Restart OpenClaw. That's it — your agent now runs on your own hardware. Something not working? checks all three links in the chain and tells you which one is broken. Backends AirClaw finds these automatically, in this order: | [Jan](htt
| Stars | 116 |
| Forks | 10 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 58.9927892438423/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-31 |
| Created | 2026-02-27 |
| Platforms | cli, python |
| Est. Tokens | ~13k |
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AirClaw is Run OpenClaw on a local model. Zero API cost. One OpenAI-compatible endpoint over Ollama, llama.cpp, vLLM or LM Studio — plus AirLLM for models bigger than your GPU.. It is categorized as a Codex Skill with 116 GitHub stars.
AirClaw is primarily written in Python. It covers topics such as ai-agent, airllm, cli.
You can find installation instructions and usage details in the AirClaw GitHub repository at github.com/nickzsche21/AirClaw. The project has 116 stars and 10 forks, indicating an active community.
AirClaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AirClaw on Agent Skills Hub include captain-claw, Deskdrop, agentao. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: