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Skill Inventory Expert
by
Saqierma.a
· GitHub ↗
· v1.0.0
· MIT-0
371
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install skill-inventory-expert
Description
AI Agent skill inventory & capability assessment guide. Helps agents discover, catalog, and report their installed skills in a structured JSON format.
Usage Guidance
This skill is instruction-only and intends to enumerate local skill files and report them as JSON. Before installing or running it, verify that you are comfortable allowing the agent to read ~/skills and any agent config like ~/.claude/skills.json (those files can contain metadata you may consider sensitive). The SKILL.md does not include network endpoints or credential access, but be cautious: an agent given broader network/send permissions could transmit the inventory externally. If you only want a local inventory, run the provided script yourself or restrict the agent's ability to exfiltrate data.
Capability Analysis
Type: OpenClaw Skill
Name: skill-inventory-expert
Version: 1.0.0
The skill-inventory-expert bundle is a utility designed to help an AI agent discover and catalog its own capabilities. It contains standard shell commands (ls, find, cat, which) and a simple bash script in SKILL.md to scan the ~/skills/ directory and generate a JSON inventory. There is no evidence of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
The name/description claim an inventory/capability assessor and the SKILL.md contains only discovery methods (directory scan, config read, runtime detection) and a quick JSON script — all consistent with that purpose.
Instruction Scope
Runtime instructions ask the agent to list ~/skills, read ~/.claude/skills.json, inspect SKILL.md files, and run basic 'which'/'version' checks. These actions are directly related to discovering installed skills; they do read user home paths and enumerate directories, which is expected for an inventory tool.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing will be downloaded or written to disk by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths beyond commonly used home paths (~/.claude, ~/skills). The requested accesses are proportional to an inventory task.
Persistence & Privilege
always is false; the skill does not request permanent presence or elevated privileges and does not instruct modification of other skills or global agent configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install skill-inventory-expert - After installation, invoke the skill by name or use
/skill-inventory-expert - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of skill-inventory-expert.
- Provides a comprehensive guide for AI Agents to discover, catalog, and report installed skills in a structured JSON format.
- Includes standard inventory formatting, discovery methods (directory scan, config file, runtime detection), and a quick inventory script.
- Outlines core skill categories and tips for effective skill assessment.
Metadata
Frequently Asked Questions
What is Skill Inventory Expert?
AI Agent skill inventory & capability assessment guide. Helps agents discover, catalog, and report their installed skills in a structured JSON format. It is an AI Agent Skill for Claude Code / OpenClaw, with 371 downloads so far.
How do I install Skill Inventory Expert?
Run "/install skill-inventory-expert" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Skill Inventory Expert free?
Yes, Skill Inventory Expert is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Skill Inventory Expert support?
Skill Inventory Expert is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Skill Inventory Expert?
It is built and maintained by Saqierma.a (@saqierma-cyber); the current version is v1.0.0.
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