github-workflow-automation

github-workflow-automation is a skill for Claude Code from ratnesh-maurya/cursor-claude-personas. It costs 48 tokens per session (5,190 once invoked), scanned A, original, MIT.

A collection of patterns for automating GitHub work with AI assistance. GitHub is a service for hosting code and collaborating through pull requests, issues, and automated checks.

In plain words
What is it for?
Use it to create AI-assisted pull-request reviews, issue triage, GitHub Actions workflows, CI/CD integrations, and automated rebases or cherry-picks.
Why use it?
It reduces manual work around reviewing code changes, sorting incoming issues, running delivery checks, and carrying out routine Git operations.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Gemini CLI.

Good fit Use it to create AI-assisted pull-request reviews, issue triage, GitHub Actions workflows, CI/CD integrations, and automated rebases or cherry-picks.

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Install with agentmods
npx agentmods add skills/ratnesh-maurya/cursor-claude-personas/github-workflow-automation
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 ratnesh-maurya/cursor-claude-personas --skill github-workflow-automation
Clone the repo
git clone --depth 1 https://github.com/ratnesh-maurya/cursor-claude-personas

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 github-workflow-automation

README.md
[![agentmods](https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/github-workflow-automation/github.svg)](https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/github-workflow-automation)
Your own site
<a href="https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/github-workflow-automation"><img src="https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/github-workflow-automation/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 github-workflow-automation

Your own site · 80×15
<a href="https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/github-workflow-automation"><img src="https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/github-workflow-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,190 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 $0.00048 $0.05190
Opus 5 $0.00024 $0.02595
Sonnet 5 $0.00010 $0.01038
Haiku 4.5 $0.00005 $0.00519

Measured 10d ago against content hash 8bf692bc0131, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

github-workflow-automation 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 10d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.claude/skills/github-workflow-automation/SKILL.md · 850 lines

How it starts

The opening of the file, as written. The whole thing — 850 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🔧 GitHub Workflow Automation

Patterns for automating GitHub workflows with AI assistance, inspired by Gemini CLI and modern DevOps practices.

When to Use This Skill

Use this skill when:

  • Automating PR reviews with AI
  • Setting up issue triage automation
  • Creating GitHub Actions workflows
  • Integrating AI into CI/CD pipelines
  • Automating Git operations (rebases, cherry-picks)

1. Automated PR Review

1.1 PR Review Action

# .github/workflows/ai-review.yml
name: AI Code Review

on:
  pull_request:
    types: [opened, synchronize]

jobs:
  review:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      pull-requests: write

    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Get changed files
        id: changed
        run: |
          files=$(git diff --name-only origin/${{ github.base_ref }}...HEAD)
          echo "files<<EOF" >> $GITHUB_OUTPUT
          echo "$files" >> $GITHUB_OUTPUT
          echo "EOF" >> $GITHUB_OUTPUT

      - name: Get diff
        id: diff
        run: |
          diff=$(git diff origin/${{ github.base_ref }}...HEAD)
          echo "diff<<EOF" >> $GITHUB_OUTPUT
          echo "$diff" >> $GITHUB_OUTPUT
          echo "EOF" >> $GITHUB_OUTPUT

      - name: AI Review
        uses: actions/github-script@v7
        with:
          script: |
            const { Anthropic } = require('@anthropic-ai/sdk');
            const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });

            const response = await client.messages.create({
              model: "claude-3-sonnet-20240229",
              max_tokens: 4096,
              messages: [{
                role: "user",
                content: `Review this PR diff and provide feedback:
                
                Changed files: ${{ steps.changed.outputs.files }}
                
                Diff:
                ${{ steps.diff.outputs.diff }}
                
                Provide:
                1. Summary of changes
                2. Potential issues or bugs
                3. Suggestions for improvement
                4. Security concerns if any
                
                Format as GitHub markdown.`
              }]
            });

            await github.rest.pulls.createReview({
              owner: context.repo.owner,
              repo: context.repo.repo,
              pull_number: context.issue.number,
              body: response.content[0].text,
              event: 'COMMENT'
            });
        env:
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}

Read the full file on GitHub · 850 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. 10d ago First seen · 850 lines · 48 tokens per session scan A 8bf692bc0131

Subscribe to this mod's changes

github-workflow-automation is a skill published in the GitHub repository ratnesh-maurya/cursor-claude-personas (8 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 5,190 once invoked, about $0.0002 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 2026-08-31.

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