cmd_hookify

cmd_hookify is a skill for Claude Code from majiang213/OpenClaw-MAS. It costs 15 tokens per session (950 once invoked), scanned A, original, MIT.

A command for creating OpenClaw hooks that detect and warn about unwanted agent behavior. It can use conversation patterns or a behavior description to design the hook rules.

In plain words
What is it for?
Use it to define event triggers and matching patterns that identify behaviors you want the agent to avoid.
Why use it?
It turns repeated mistakes or explicit concerns into reusable checks for future agent interactions.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: built for openclaw.

Good fit Use it to define event triggers and matching patterns that identify behaviors you want the agent to avoid.

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Install with agentmods
npx agentmods add skills/majiang213/openclaw-mas/cmd_hookify
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add majiang213/OpenClaw-MAS --skill cmd_hookify
Clone the repo
git clone --depth 1 https://github.com/majiang213/OpenClaw-MAS

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cmd_hookify

README.md
[![agentmods](https://agentmods.dev/badge/skills/majiang213/openclaw-mas/cmd_hookify/github.svg)](https://agentmods.dev/skills/majiang213/openclaw-mas/cmd_hookify)
Your own site
<a href="https://agentmods.dev/skills/majiang213/openclaw-mas/cmd_hookify"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/cmd_hookify/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cmd_hookify

Your own site · 80×15
<a href="https://agentmods.dev/skills/majiang213/openclaw-mas/cmd_hookify"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/cmd_hookify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 950 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00015 $0.00950
Opus 5 $0.00008 $0.00475
Sonnet 5 $0.00003 $0.00190
Haiku 4.5 $0.00002 $0.00095

Measured 5d ago against content hash 42648ad5a682, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

cmd_hookify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/cmd_hookify/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Path

The first argument is the project path. Before doing anything else:

  1. Extract the project path from the first argument
  2. Verify the path exists
  3. Work within that directory for all file operations and shell commands

Hookify

Create OpenClaw hooks to prevent unwanted agent behaviors by analyzing conversation patterns or explicit user instructions.

Usage

/skill cmd_hookify <project-path> [description of behavior to prevent]

If no description is provided, use the conversation-analyzer agent to find behaviors worth preventing from the current conversation.

Workflow

Step 1: Gather Behavior Info

  • With description: parse the user's description of the unwanted behavior
  • Without description: delegate to conversation-analyzer agent to identify:
    • Explicit corrections the user made
    • Frustrated reactions to repeated mistakes
    • Reverted changes
    • Repeated similar issues

Step 2: Design the Hook

For each behavior to prevent, determine:

  • Event: which OpenClaw event to listen on (see event types below)
  • Pattern: what to match (regex against message content, command source, etc.)
  • Name: a descriptive kebab-case name

Note: Internal hooks can only warn (push messages to the user). They cannot block actions. Errors in handlers are caught and logged but don't prevent other handlers from running.

Step 3: Generate Hook Files

Create a hook directory at <project-path>/.openclaw/hooks/<hook-name>/:

HOOK.md:

---
name: <hook-name>
description: "<what this hook warns about>"
events: ["<event:action>"]
enabled: true
emoji: "🛡️"
---

handler.ts:

import type { InternalHookEvent } from "openclaw/plugin-sdk/hook-runtime";

const handler = async (event: InternalHookEvent) => {
  if (event.type !== "<type>" || event.action !== "<action>") {
    return;
  }
  const ctx = event.context as Record<string, unknown>;
  const content = (ctx.content ?? ctx.commandSource ?? '') as string;
  const pattern = /<regex pattern>/i;

  if (pattern.test(content)) {
    event.messages.push('⚠️ Warning: <description of unwanted behavior detected>');
  }
};
export default handler;

Read the full file on GitHub · 110 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 110 lines · 15 tokens per session scan A 42648ad5a682

Subscribe to this mod's changes

cmd_hookify is a skill published in the GitHub repository majiang213/OpenClaw-MAS (5 stars, last pushed 5mo ago), licensed MIT. It adds 15 tokens to every session and 950 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.