Review Agents Md
CheckedAnalyzes agent performance metrics from Markdown reports to identify areas for improvement and optimization.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add richtabor/agent-skills --skill review-agents-md -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
richtabor
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned richtabor/agent-skills at 89eb2e97fd.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 89eb2e97fd
- Manifest
- skills/review-agents-md/SKILL.md
- Scanned
- 1 file, 196 lines
About this skill
What it does
This skill allows an AI agent to review and summarize markdown files, specifically those containing lists of agents. It can extract key information from these lists, such as agent names, roles, and associated skills. The resulting summaries are designed to be concise and easily digestible for quick understanding of complex agent configurations.
When to use it
- Agent onboarding: Quickly understand the capabilities and responsibilities of a team of AI agents during new employee training.
- Documentation review: Summarize lengthy markdown documents detailing existing AI agent setups, identifying key components and potential areas for improvement.
- Configuration audits: Generate concise summaries to verify that AI agent configurations align with established standards and best practices.
- Knowledge transfer: Facilitate the sharing of information about AI agents between team members or departments.
Key capabilities
- Markdown parsing
- Agent list extraction
- Summary generation
- Role identification
Example prompts
- "Summarize this markdown file containing a list of our customer service agents."
- "Extract the names and skills of all AI agents listed in this document."
- "Provide a brief overview of the roles described in this agent configuration file."
Tips & gotchas
The skill is designed for markdown files specifically focused on listing AI agents. Results may be less accurate if the input contains unstructured or irrelevant content.