by schmitthub · Codex Skill · ★ 59
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install schmitthub/tap/clawker
git clone https://github.com/schmitthub/clawker.gitTaken from the project's README on GitHub.
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 | 59 |
| Forks | 8 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 59 |
| Last Updated | 2026-11-02 |
| Created | 2026-01-07 |
| Platforms | claude-code, codex, docker, go |
| Est. Tokens | ~23k |
Clawker: Claude Code agent-in-container orchestration and automation clawker is a cli for orchestrating, monitoring, and automating portable devcontainers for Claude Code agents — a security-first AI container sandbox for Anthropic's models, including the latest mythos-class Fable 5. It works on any MacOS/Linux host with docker installed.
These tools work well together with clawker for enhanced workflows:
Looking for a clawker alternative? If you're comparing clawker 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.
Just another desktop client for OpenCode 2. Manage projects, sessions, parallel agents, requests, and changes
Unified CLI for running AI coding agents in isolated containers. Includes built-in local metrics collection, H
An open-source workspace for coding agents, running on your own machine. More work. Less AI waste. Same subscr
📼 Declarative AI agent environment manager, written in Rust
Run your agent in a Minimal box. Ship and run software with isolation on your own computer.
Your own Claude Code UI, sandbox, in-browser VS Code, terminal, multi-provider support (Anthropic, OpenAI, Git
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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: