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.
npx agentmods add skills/aegntic/cldcde/github-workflow-automationnpx skills add aegntic/cldcde --skill github-workflow-automationgit clone --depth 1 https://github.com/aegntic/cldcdeWhat 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.
| Model | Per session | Once 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 |
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 3d 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.
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"
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.
- 3d ago First seen · 1,066 lines · 26 tokens per session scan A d01274c166a9
github-workflow-automation is a skill published in the GitHub repository aegntic/cldcde (11 stars, last pushed 6d ago), licensed MIT. 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 2026-08-30.
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