github-workflow-automation

github-workflow-automation is a skill for Claude Code, Codex from spencermarx/open-code-review. It costs 26 tokens per session (6,141 once invoked), scanned A, original, Apache-2.0.

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/spencermarx/open-code-review/github-workflow-automation
Any agent
npx skills add spencermarx/open-code-review --skill github-workflow-automation
Clone the repo
git clone --depth 1 https://github.com/spencermarx/open-code-review

Made for: Claude Code, Codex.

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/spencermarx/open-code-review/github-workflow-automation.svg)](https://agentmods.dev/skills/spencermarx/open-code-review/github-workflow-automation)
Your own site
<a href="https://agentmods.dev/skills/spencermarx/open-code-review/github-workflow-automation"><img src="https://agentmods.dev/badge/skills/spencermarx/open-code-review/github-workflow-automation.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,141 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00026 $0.06141
Opus 5 $0.00013 $0.03070
Sonnet 5 $0.00005 $0.01228
Haiku 4.5 $0.00003 $0.00614

Measured today against content hash d01274c166a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 today.

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.

.claude/skills/github-workflow-automation/SKILL.md · 1,066 lines

How it starts

The opening of the file, as written. The whole thing — 1,066 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Workflow Automation Skill

Overview

This skill provides comprehensive GitHub Actions automation with AI swarm coordination. It integrates intelligent CI/CD pipelines, workflow orchestration, and repository management to create self-organizing, adaptive GitHub workflows.

Quick Start

Initialize GitHub Workflow Automation

# Start with a simple workflow
npx ruv-swarm actions generate-workflow \
  --analyze-codebase \
  --detect-languages \
  --create-optimal-pipeline

Common Commands

# Optimize existing workflow
npx ruv-swarm actions optimize \
  --workflow ".github/workflows/ci.yml" \
  --suggest-parallelization

# Analyze failed runs
gh run view <run-id> --json jobs,conclusion | \
  npx ruv-swarm actions analyze-failure \
    --suggest-fixes

Core Capabilities

🤖 Swarm-Powered GitHub Modes

1. gh-coordinator

GitHub workflow orchestration and coordination

  • Coordination Mode: Hierarchical
  • Max Parallel Operations: 10
  • Batch Optimized: Yes
  • Best For: Complex GitHub workflows, multi-repo coordination
# Usage example
npx claude-flow@alpha github gh-coordinator \
  "Coordinate multi-repo release across 5 repositories"
2. pr-manager

Pull request management and review coordination

  • Review Mode: Automated
  • Multi-reviewer: Yes
  • Conflict Resolution: Intelligent
# Create PR with automated review
gh pr create --title "Feature: New capability" \
  --body "Automated PR with swarm review" | \
  npx ruv-swarm actions pr-validate \
    --spawn-agents "linter,tester,security,docs"
3. issue-tracker

Issue management and project coordination

  • Issue Workflow: Automated
  • Label Management: Smart
  • Progress Tracking: Real-time
# Create coordinated issue workflow
npx claude-flow@alpha github issue-tracker \
  "Manage sprint issues with automated tracking"

Read the full file on GitHub · 1,066 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. today First seen · 1,066 lines · 26 tokens per session scan A d01274c166a9

Subscribe to this mod's changes

github-workflow-automation is a skill published in the GitHub repository spencermarx/open-code-review (353 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 6,141 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.