Home / rohitg00 / pro-workflow · skills/llm-gate/SKILL.md · GitHub

llm-gate skillA

llm-gate is agent-read markdown (skill) from rohitg00/pro-workflow: LLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# LLM Gate

Use Claude Code's `type: "prompt"` hooks to create intelligent quality gates that use AI to verify operations.

## Trigger

Use when:
- Setting up commit message validation
- Enforcing code conventions beyond what linters catch
- Creating smart guardrails for specific operations

## How Prompt Hooks Work

Claude Code supports hooks with `type: "prompt"` that run a small LLM (Haiku by default) to verify conditions:

```json
{
  "PreToolUse": [{
    "matcher": "Bash",
    "hooks": [{
      "type": "prompt",
      "if": "Bash(git commit*)",
      "prompt": "Check if this git commit follows conventional commit format (<type>(<scope>): <summary>). The commit command is: $ARGUMENTS. Return {\"ok\": true} if valid, {\"ok\": false, \"reason\": \"...\"} if not.",
      "model": "haiku",
      "timeout": 15
    }]
  }]
}
```

The hook:
1. Substitutes `$ARGUMENTS` with the JSON hook input
2. Sends to Haiku (fast, cheap)
3. Expects `{"ok": true}` or `{"ok": false, "reason": "..."}`
4. If not ok → blocks the tool call with the reason

## Example Gates

### Conventional Commit Validator
```json
{
  "type": "prompt",
  "if": "Bash(git commit*)",
…

Read the whole file at its exact version.

How to install

Latest version
mdr add rohitg00/pro-workflow/llm-gate@git:20260331.68dbd4b
Exact content
mdr add rohitg00/pro-workflow/llm-gate@sha256:4b7da8e85e2041f8

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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Versions

versioncommittedcommitsizeaudit
git:20260331.68dbd4b latest2026-03-31 68dbd4b 3,030 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3030 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

rohitg00/pro-workflow · 2,879 stars · license none · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hqqpsphlqycf3jy2
GET https://markdownregistry.com/api/v1/resolve?ref=rohitg00/pro-workflow/llm-gate
GET https://markdownregistry.com/api/v1/blob/4b7da8e85e2041f87812049fb15228efe7defe342b0463f1330542a176d668e6

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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