About this skill
The 'sks' skill provides a comprehensive overview of an AI agent's operational capabilities. It identifies which skills are currently active within the agent's environment and enumerates every command the agent is capable of executing. This internal utility is invaluable for both agents and developers seeking to understand, debug, or audit the agent's current state and available tools. This skill helps ensure transparency in the agent's functionality, making it easier to troubleshoot issues where an agent might fail to perform an expected action or to verify that newly integrated skills are properly activated. By providing a clear list of commands, it acts as a self-documentation tool for the agent's runtime capabilities. Developers can use 'sks' to quickly confirm the agent's access to specific functions, while the agent itself can leverage it to remind itself of its own toolkit, potentially improving task execution accuracy and reducing instances of 'hallucinating' non-existent commands. It's a foundational introspection tool for sophisticated AI systems.
Best use case
The primary use case is for AI agents or their developers to gain immediate insight into the agent's installed capabilities and operational status. It's crucial for verifying skill activation, discovering the full range of executable commands, and troubleshooting issues related to skill integration or execution. Developers, researchers, and anyone managing an AI agent benefits most from this ability to monitor and understand the agent's functional scope.
显示已激活的 Skills 状态和所有可用命令列表
A printed output detailing the status of active skills and a comprehensive list of all commands recognized by the AI agent.
Practical example
Example input
Run the `sks` skill to see the status of activated skills and all available commands.
Example output
--- Active Skills --- - git_clone: Active - file_management: Active - web_search: Inactive --- Available Commands --- - git_clone [url] - file_read [path] - file_write [path] [content] - web_search [query] - sks
When to use this skill
- To check which AI agent skills are currently active and available.
- To discover all commands an AI agent can execute.
- When debugging why an agent is not performing an expected task.
- To audit the complete set of capabilities for an AI agent setup.
When not to use this skill
- When the objective is to perform a specific task rather than manage skills.
- When the agent's operational status and command list are already known.
- In a highly optimized production environment where internal introspection is not part of the active workflow.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/sks/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How sks Compares
| Feature / Agent | sks | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | medium | N/A |
Frequently Asked Questions
What does this skill do?
显示已激活的 Skills 状态和所有可用命令列表
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as medium. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
无需任何参数，**直接运行**： ```bash python3 "$(git rev-parse --show-toplevel 2>/dev/null)/.claude/skills/sks/status.py" ```
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