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 akhilyad/deployy --skill github-automationgit clone --depth 1 https://github.com/akhilyad/deployyWrote 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/akhilyad/deployy/github-automation)<a href="https://agentmods.dev/skills/akhilyad/deployy/github-automation"><img src="https://agentmods.dev/badge/skills/akhilyad/deployy/github-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/akhilyad/deployy/github-automation"><img src="https://agentmods.dev/badge/skills/akhilyad/deployy/github-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 | $0.00061 | $0.00347 |
| Opus 5.5 | $0.00024 | $0.00139 |
| Sonnet 5.5 | $0.00012 | $0.00069 |
| Haiku 4.5 | $0.00006 | $0.00035 |
Grade A, and why
github-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 17d 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
100% identical to github-automation — 10 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.
What it actually says
GitHub Automation Skill
Purpose
GitHub workflow automation, PR management, and repository coordination.
When to Trigger
- Creating pull requests
- Managing issues
- Setting up CI/CD workflows
- Code review automation
- Release management
Commands
Create Pull Request
gh pr create --title "feat: description" --body "## Summary\n..."
Review Code
npx hyrex github review --pr 123
Manage Issues
npx hyrex github issues list --state open
npx hyrex github issues create --title "Bug: ..."
Setup Workflow
npx hyrex workflow create --template ci
Release Management
npx hyrex deployment release --version 1.0.0
Agent Types
| Agent | Role |
|---|---|
pr-manager |
Pull request lifecycle |
code-review-swarm |
Automated code review |
issue-tracker |
Issue management |
release-manager |
Release automation |
workflow-automation |
GitHub Actions |
Best Practices
- Use conventional commits
- Require reviews before merge
- Run CI on all PRs
- Automate release notes
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.
- 17d ago First seen · 64 lines · 61 tokens per session scan A 9fed9423daca
github-automation is a skill published in the GitHub repository akhilyad/deployy (0 stars, last pushed 5mo ago), licensed MIT. It adds 61 tokens to every session and 347 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to github-automation, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
github
GitHub via gh CLI: PRs, issues, reviews, repos, auth.
otto-drive-pr
PR mergeability, CI, and live preview.
voicestudio-maintainer
Triage GitHub issues, review contributor pull requests, diagnose CI, and prepare explicitly requested releases for VoiceStudio's Electron desktop app and Python backend. Use for repository maintenance work, not ordinary VoiceStudio audio generation.
release
Cut a brooks-lint release: set the version in package.json, propagate it across all four plugin manifests and every version-bearing text file (README badges, docs site metadata), write the CHANGELOG entry, validate, then commit, push, tag, and publish the GitHub release. Triggers when the maintainer asks to "release"…
github
Full GitHub CLI control — issues, PRs, code reviews, repo management. Uses gh CLI with auth detection, rate limiting, and templates. Triggers on: github, issue, pull request, PR, code review, repo, branch, label, assignee, milestone, release, workflow, actions.
release-pr-review
Review pass on an open release PR (release/ → main) — the step between git-wrapup and release-and-publish when a project releases in gated release PR mode. Reads the PR's commit range through the code-simplifier lens plus a correctness review, verifies whatever an automated reviewer left on the PR, lands fixes as…