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 SafeRL-Lab · Codex Skill · ★ 769
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cheetahclaws safe to install? View the security audit →
English Português CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems Website · Scaling the Harness · Issue Quick Install After installation: Other install methods: pip install full details 🔥🔥🔥 News (Pacific Time) Jun
| Stars | 769 |
| Forks | 267 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 67.4752022554995/100 |
| Open Issues | 23 |
| Last Updated | 2026-08-27 |
| Created | 2026-04-01 |
| Platforms | aws, claude-code, python |
| Est. Tokens | ~22k |
Looking for a cheetahclaws alternative? If you're comparing cheetahclaws with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
An IOS Simulator Skill for ClaudeCode. Use it to optimise Claude's ability to build, run and interact with you
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown a
An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Imp
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies
A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Cl
A memory OS that makes your OpenClaw agents more personal while saving tokens.
Explore other popular codex skill tools:
cheetahclaws is CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems. It is categorized as a Codex Skill with 769 GitHub stars.
cheetahclaws is primarily written in Python. It covers topics such as agentic-ai, claude, claude-code.
You can find installation instructions and usage details in the cheetahclaws GitHub repository at github.com/SafeRL-Lab/cheetahclaws. The project has 769 stars and 267 forks, indicating an active community.
cheetahclaws is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to cheetahclaws on Agent Skills Hub include ios-simulator-skill, memsearch, mcp-server-code-execution-mode. 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: