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Agent skill

Agent Bom Discover

by LeoYeAI in LeoYeAI/openclaw-master-skills

Discover AI agents, MCP servers, and configurations on this machine or environment.

Apache-2.0Auto-check passedAgent Workflows

Install Agent Bom Discover

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill agent-bom-discover -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills agent-bom-discover --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-bom/discover .claude/skills/agent-bom-discover && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-bom-discover
GitHub stars
2.2k
Token cost
~1.4k tokens
SKILL.md length
112 words
Files
1
Skills in repo
1,235
Repo updated
First seen
Licence
Apache-2.0

At a glance

Discover AI agents, MCP servers, and configurations on this machine or environment.

  • Whats configured
  • SKILL.md covers Install, When to Use, Commands and Examples, plus 1 more section
  • Calls pipx, claude and cursor
  • What MCP servers

What it does

Agent Bom Discover is an agent skill from LeoYeAI/openclaw-master-skills. Discover AI agents, MCP servers, and configurations on this machine or environment. Use when: "find agents", "what's configured", "doctor", "what MCP servers", "show me what's installed", "mcp inventory".

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires Python 3.11+. Install via pipx or pip. No credentials required. Registry data (427+ MCP servers) is bundled in-package with zero network calls.

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is Apache-2.0.

When your agent uses it

  • Whats configured
  • What MCP servers
  • Show me whats installed

Example prompts

  • “find agents”
  • “s configured”
  • “doctor”
  • “/agent-bom-discover”

Requirements

  • Python 3
  • Docker
  • Compatibility (from SKILL.md): Requires Python 3.11+. Install via pipx or pip. No credentials required. Registry data (427+ MCP servers) is bundled in-package with zero network calls.

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pipx
    • claude
    • cursor

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pipx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires Python 3.11+. Install via pipx or pip. No credentials required. Registry data (427+ MCP servers) is bundled in-package with zero network calls.

    From compatibility in the SKILL.md frontmatter.

Context cost

Agent Bom Discover loads about 1.4k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 112 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its Apache-2.0 licence (© LeoYeAI). 112 words, ~1,400 tokens.

Download SKILL.mdSave it as .claude/skills/agent-bom-discover/SKILL.md (or your agent's skills folder).
name
agent-bom-discover
description
Discover AI agents, MCP servers, and configurations on this machine or environment. Use when: "find agents", "what's configured", "doctor", "what MCP servers", "show me what's installed", "mcp inventory".
compatibility
Requires Python 3.11+. Install via pipx or pip. No credentials required. Registry data (427+ MCP servers) is bundled in-package with zero network calls.
version
0.75.10
license
Apache-2.0
metadata.author
msaad00
metadata.homepage
https://github.com/msaad00/agent-bom
metadata.source
https://github.com/msaad00/agent-bom
metadata.pypi
https://pypi.org/project/agent-bom/
metadata.scorecard
https://securityscorecards.dev/viewer/?uri=github.com/msaad00/agent-bom
metadata.tests
6533

agent-bom-discover — AI Agent & MCP Server Discovery

Discovers AI agents, MCP servers, and their configurations across 22+ AI tools on this machine. Shows what's installed, configured, and registered in the bundled 427+ MCP server registry.

Install

bash
pipx install agent-bom
agent-bom agents             # discover all AI agents and MCP servers
agent-bom doctor             # check prerequisites and configuration health
agent-bom mcp inventory      # list all discovered MCP servers
agent-bom where              # show all discovery paths

When to Use

  • "find agents" / "what agents are configured"
  • "what MCP servers do I have"
  • "what's configured on this machine"
  • "mcp inventory"
  • "doctor" / "check my setup"
  • "show me what's installed"

Commands

bash
# Discover all AI agents and MCP servers
agent-bom agents

# Check configuration health and prerequisites
agent-bom doctor

# List MCP server inventory
agent-bom mcp inventory

# Show all discovery paths
agent-bom where

Examples

# Discover all agents
agents()

# Run health check
doctor()

# List MCP inventory
inventory()

Example output:

Discovered 3 MCP clients:
  Claude Desktop  — 4 servers configured
  Cursor          — 2 servers configured
  VS Code         — 1 server configured

Servers: filesystem, brave-search, github, slack, postgres, linear, notion
Registry: 5/7 servers found in registry (427+ entries)

Guardrails

  • Discovery is read-only — no files are modified, no packages installed.
  • Env var values in config files are always replaced with ***REDACTED*** before processing.
  • Only structural data (server names, commands, URLs) is extracted.
  • Confirm with user before scanning paths outside the home directory.

© LeoYeAI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/agent-bom/discover of LeoYeAI/openclaw-master-skills.

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Agent Bom Discover next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Bom Discover compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Bom Discover this skillLeoYeAI/openclaw-master-skills2.2k—~1.4kAutomated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Agent Bom Discover

What does Agent Bom Discover do?

Discover AI agents, MCP servers, and configurations on this machine or environment. Agent Bom Discover is an agent skill from LeoYeAI/openclaw-master-skills. Discover AI agents, MCP servers, and configurations on this machine or environment.

When should I use Agent Bom Discover?

Agent Bom Discover fits situations like: whats configured; what MCP servers; show me whats installed.

How do I install Agent Bom Discover in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-bom-discover -a claude-code`. Or copy the skill folder (skills/agent-bom/discover in LeoYeAI/openclaw-master-skills) into .claude/skills/agent-bom-discover in your project. Claude Code loads it when a task matches its description.

How do I install Agent Bom Discover in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-bom-discover -a codex`. Or copy the skill folder (skills/agent-bom/discover in LeoYeAI/openclaw-master-skills) into .agents/skills/agent-bom-discover in your project. Codex loads it when a task matches its description.

Can I use Agent Bom Discover in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-bom-discover -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-bom-discover, .gemini/skills/agent-bom-discover, .github/skills/agent-bom-discover and .opencode/skills/agent-bom-discover in your project.

What does Agent Bom Discover need to run?

Going by SKILL.md and its folder, Agent Bom Discover needs the command-line tools its instructions call (pipx, claude and cursor). Our summary lists: Python 3; Docker. Compatibility (from SKILL.md): Requires Python 3.11+. Install via pipx or pip. No credentials required. Registry data (427+ MCP servers) is bundled in-package with zero network calls..

Does Agent Bom Discover access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Bom Discover safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Bom Discover use?

Agent Bom Discover is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Bom Discover use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Bom Discover?

Skills that share tags, products or a category with Agent Bom Discover: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Bom Discover?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.