GitHub Agentic Workflows is a GitHub CLI extension that lets developers define AI-assisted repository automation in Markdown and run it through GitHub Actions. It is intended for tasks requiring interpretation or reasoning, such as issue triage, pull-request review, CI investigation, documentation maintenance, and dependency analysis. The catalogue entries provide skills and agents for working with these workflows.
Borrowing it
Nothing to install: this file belongs to github/gh-aw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/github/gh-aw/main/.github/skills/developer-release/SKILL.mdgit clone --depth 1 https://github.com/github/gh-awWrote 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/github/gh-aw/developer-release)<a href="https://agentmods.dev/skills/github/gh-aw/developer-release"><img src="https://agentmods.dev/badge/skills/github/gh-aw/developer-release/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/github/gh-aw/developer-release"><img src="https://agentmods.dev/badge/skills/github/gh-aw/developer-release.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 58 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 109 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.04040 |
| Opus 5.5 | $0.00011 | $0.01616 |
| Sonnet 5.5 | $0.00005 | $0.00808 |
| Haiku 4.5 | $0.00003 | $0.00404 |
Grade A, and why
developer-release 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.
How it starts
The opening of the file, as written. The whole thing — 554 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Release and CLI Stability
Use this reference for release management procedures, understanding what constitutes a breaking CLI change, firewall log parsing, and Go module summaries.
Table of Contents
Release Management
The project uses a minimalistic changeset-based release system inspired by @changesets/cli.
Commands
version (Preview Only)
The version command operates in preview mode and never modifies files:
node scripts/changeset.js version
# Or
make version
This command:
- Reads all changeset files from
.changeset/directory - Determines the appropriate version bump (major > minor > patch)
- Shows a preview of the CHANGELOG entry
- Never modifies any files
release [type] [--yes|-y]
The release command creates an actual release:
node scripts/changeset.js release
# Or (recommended - runs tests first)
make release
This command:
- Checks prerequisites (clean tree, main branch)
- Updates
CHANGELOG.mdwith new version and changes - Deletes processed changeset files (if any exist)
- Automatically commits the changes
- Creates and pushes a git tag for the release
Flags:
--yesor-y: Skip confirmation prompt
Release Workflow
graph TD
A[Add changeset files] --> B[Preview with version command]
B --> C{Changes look good?}
C -->|No| D[Modify changesets]
D --> B
C -->|Yes| E[Run release command]
E --> F[Update CHANGELOG.md]
F --> G[Delete changeset files]
G --> H[Commit changes]
H --> I[Create git tag]
I --> J[Push tag to remote]
Changeset File Format
Changeset files are markdown files in .changeset/ directory with YAML frontmatter:
"gh-aw": patch
Brief description of the change
Bump types:
patch- Bug fixes and minor changes (0.0.x)minor- New features, backward compatible (0.x.0)major- Breaking changes (x.0.0)
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 First seen · 554 lines · 27 tokens per session scan A bf1ad3977f99
developer-release is a skill published in the GitHub repository github/gh-aw (5,406 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 4,040 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
watch-tag
Watch a GitHub repository for new tags using the gh-watch extension. Use when the user wants to be notified when a tag is created, when a release is cut, or when a tag that includes a specific commit appears (e.g. "tell me when my merge ships in a release").
AI Release Guardian
Analyze a git diff, map affected risks, select the tests that matter, detect coverage gaps on changed lines, run configurable quality gates, and produce a go/no-go release report with cited evidence. Recommends only; never merges or deploys.
release-habit-hooks
Cut a new release of the habit-hooks packages. Use when asked to release, publish, or bump the version. Reviews what lands, enforces the in-sync versioning rule, validates the changelog, and drives the tag-triggered PyPI publish.
github-repo-care
Protocol for safely creating, publishing, releasing, auditing, and maintaining GitHub repositories: check local rules and locks, create .gitignore before the first add, run privacy checks, prepare README/i18n/banner/metadata, verify release tags and GitHub releases, and update organization profiles, llms.txt files…
publish-github-release
Use this whenever the user asks to ship, publish, release, tag, or cut a new version of the project — OR when CHANGELOG.md has an "Unreleased" / in-progress section ready to be shipped. The skill bumps the version across all version-bearing files, regenerates the CHANGELOG entry from git log since the last tag…
c-github
Interact with GitHub using the gh CLI and jq. Manage PRs, issues, repositories, and Actions workflows. Make raw API calls with gh api for anything not covered by built-in commands.