Agent skill · Code Review & Quality

llm-gate

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.

Rohit Ghumare73,165★ · +3,601/wk · 3 repos on radarProfile →
claude-codecodexcursor
Install
npx skills add rohitg00/pro-workflow --skill llm-gate --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/llm-gate/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,760 · +95 this week
Language: JavaScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 defaul

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About this skill
What does the llm-gate skill do?

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.

How do I install it?

Run `npx skills add rohitg00/pro-workflow --skill llm-gate --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From rohitg00/pro-workflow, a repository with 2,760 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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