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Agent skill

Agent Bom Enforce

by LeoYeAI in LeoYeAI/openclaw-master-skills

Enforce security policies on MCP tool calls and block dangerous operations at runtime.

Apache-2.0Auto-check passedAgent Workflows

Install Agent Bom Enforce

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

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills agent-bom-enforce --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/enforce .claude/skills/agent-bom-enforce && 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-enforce
GitHub stars
2.2k
Token cost
~930 tokens
SKILL.md length
123 words
Files
1
Skills in repo
1,235
Repo updated
First seen
Licence
Apache-2.0

At a glance

Enforce security policies on MCP tool calls and block dangerous operations at runtime.

  • : block risky calls
  • SKILL.md covers Install, When to Use, Commands and Example Policy File, plus 1 more section
  • Calls pipx
  • Runtime protection

What it does

Agent Bom Enforce is an agent skill from LeoYeAI/openclaw-master-skills. Enforce security policies on MCP tool calls and block dangerous operations at runtime. Use when: "block risky calls", "apply policy", "proxy", "runtime protection", "policy enforcement", "intercept MCP calls".

Its SKILL.md is about 930 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. Policy files are user-provided YAML/JSON. Proxy runs locally.

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

  • : block risky calls
  • Runtime protection
  • Policy enforcement
  • Intercept MCP calls

Example prompts

  • “block risky calls”
  • “apply policy”
  • “runtime protection”
  • “/agent-bom-enforce”

Requirements

  • Python 3
  • Docker
  • Compatibility (from SKILL.md): Requires Python 3.11+. Install via pipx or pip. No credentials required. Policy files are user-provided YAML/JSON. Proxy runs locally.

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

    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. Policy files are user-provided YAML/JSON. Proxy runs locally.

    From compatibility in the SKILL.md frontmatter.

Context cost

Agent Bom Enforce loads about 930 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 123 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~930

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). 123 words, ~930 tokens.

Download SKILL.mdSave it as .claude/skills/agent-bom-enforce/SKILL.md (or your agent's skills folder).
name
agent-bom-enforce
description
Enforce security policies on MCP tool calls and block dangerous operations at runtime. Use when: "block risky calls", "apply policy", "proxy", "runtime protection", "policy enforcement", "intercept MCP calls".
compatibility
Requires Python 3.11+. Install via pipx or pip. No credentials required. Policy files are user-provided YAML/JSON. Proxy runs locally.
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-enforce — Runtime Policy Enforcement

Enforces security policies on MCP tool calls and blocks dangerous operations at runtime. Runs a local proxy that intercepts MCP calls and evaluates them against policy-as-code rules.

Install

bash
pipx install agent-bom
agent-bom proxy              # start enforcement proxy
agent-bom policy apply policy.yaml  # apply a policy file
agent-bom policy check       # check current policy status

When to Use

  • "block risky calls" / "block dangerous MCP calls"
  • "apply policy" / "enforce policy"
  • "proxy" / "MCP proxy"
  • "runtime protection"
  • "policy enforcement"
  • "intercept MCP calls"

Commands

bash
# Start the enforcement proxy
agent-bom proxy

# Apply a policy file
agent-bom policy apply policy.yaml

# Check current policy status
agent-bom policy check

Example Policy File

yaml
# policy.yaml
rules:
  - id: block-shell-exec
    description: Block shell execution tool calls
    match:
      tool: "bash|shell|exec|run_command"
    action: block
    severity: critical

  - id: require-path-allowlist
    description: Restrict filesystem access to allowed paths
    match:
      tool: "read_file|write_file|list_directory"
      args.path:
        not_starts_with: ["/home/", "/tmp/"]
    action: block
    severity: high

Guardrails

  • IMPORTANT: Do not start the proxy or apply policies without explicit user confirmation — enforcement changes how MCP calls are processed.
  • Confirm the policy file contents with the user before applying.
  • Do not enable proxy mode autonomously — always ask the user first.
  • Audit logs are written locally only; no data is transmitted externally.
  • This skill has disable-model-invocation: true — do not auto-run enforcement actions.

© 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/enforce of LeoYeAI/openclaw-master-skills.

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Agent Bom Enforce 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 Enforce compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Bom Enforce this skillLeoYeAI/openclaw-master-skills2.2k—~930Automated 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 Enforce

What does Agent Bom Enforce do?

Enforce security policies on MCP tool calls and block dangerous operations at runtime. Agent Bom Enforce is an agent skill from LeoYeAI/openclaw-master-skills. Enforce security policies on MCP tool calls and block dangerous operations at runtime.

When should I use Agent Bom Enforce?

Agent Bom Enforce fits situations like: : block risky calls; runtime protection; policy enforcement; intercept MCP calls.

How do I install Agent Bom Enforce in Claude Code?

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

How do I install Agent Bom Enforce in Codex?

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

Can I use Agent Bom Enforce 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-enforce -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-enforce, .gemini/skills/agent-bom-enforce, .github/skills/agent-bom-enforce and .opencode/skills/agent-bom-enforce in your project.

What does Agent Bom Enforce need to run?

Going by SKILL.md and its folder, Agent Bom Enforce needs the command-line tools its instructions call (pipx). Our summary lists: Python 3; Docker. Compatibility (from SKILL.md): Requires Python 3.11+. Install via pipx or pip. No credentials required. Policy files are user-provided YAML/JSON. Proxy runs locally..

Does Agent Bom Enforce 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 Enforce 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 Enforce use?

Agent Bom Enforce 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 Enforce use?

About 930 tokens (SKILL.md is roughly 3.7k 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 Enforce?

Skills that share tags, products or a category with Agent Bom Enforce: 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 Enforce?

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.