csgclaw Skill
csgclaw is a Go AI agent skill for Codex with docker. Your own personal AI team.
How to use csgclaw Skill
Compatible clients
What is csgclaw Skill?
csgclaw is a Go AI agent skill for Codex with docker. Your own personal AI team. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Reusable instructions support
- Includes SKILL.md support
- Shell commands support
- Browser use support
- Document generation support
- Dockerfile config support
- .codex/skills/gh-weekly-release-update/SKILL.md config support
Technical details
Install or run csgclaw using docker. Check OpenCSGs/csgclaw for the latest setup command.
- Built for Go
- Built for Python
- Built for Docker
- Install or run with docker
- Works with Codex
- Uses SSE transport
- Network access
Requirements and access
Security and permissions
Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.
When to use csgclaw Skill
- Use it for reusing agent instructions, scripts, and references.
- Use it for agent skills workflows.
- Use it for coding workflows.
- Use it for data workflows.
- Use it for codex users.
Built with
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Frequently asked questions
What is csgclaw?
csgclaw is a Go AI agent skill for Codex with docker. Your own personal AI team.
Who is csgclaw best for?
csgclaw is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows, codex users.
How do I install csgclaw?
Install or run csgclaw using docker. Check csgclaw for the latest setup command.
Is csgclaw actively maintained?
csgclaw may need a closer maintenance check before production use.
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