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 skills add ayushcodes10/echo-mem --skill github-workflow-automationgit clone --depth 1 https://github.com/ayushcodes10/echo-memWrote 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.
[](https://agentmods.dev/skills/ayushcodes10/echo-mem/github-workflow-automation)<a href="https://agentmods.dev/skills/ayushcodes10/echo-mem/github-workflow-automation"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/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.
<a href="https://agentmods.dev/skills/ayushcodes10/echo-mem/github-workflow-automation"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/github-workflow-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00027 | $0.06046 |
| Opus 5.5 | $0.00011 | $0.02418 |
| Sonnet 5.5 | $0.00005 | $0.01209 |
| Haiku 4.5 | $0.00003 | $0.00605 |
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 1mo 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.
This is a copy
98% identical to github-workflow-automation — 62 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,048 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 Codex-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 Codex-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.
- 1mo ago Changed 0f00cffaedac
- 1mo ago First seen · 1,048 lines · 27 tokens per session scan A 6e2d7b786541
github-workflow-automation is a skill published in the GitHub repository ayushcodes10/echo-mem (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 6,046 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to github-workflow-automation, differing in 62 lines, and is treated as a copy.
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