agentic-workflows

agentic-workflows is a skill for Claude Code, Codex from github/gh-aw. It costs 20 tokens per session (537 once invoked), scanned A, original, MIT.

A routing skill for GitHub Agentic Workflows, which are GitHub workflows that use AI agents to perform repository tasks. It selects the matching instructions for designing, creating, changing, or debugging one of these workflows.

In plain words
What is it for?
Use it when you need to design, create, update, configure, debug, audit, or upgrade a GitHub Agentic Workflow.
Why use it?
It sends each request to the appropriate workflow guidance and applies repository-specific instructions when present. It avoids loading unrelated files.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it when you need to design, create, update, configure, debug, audit…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/github/gh-aw/agentic_workflows
About the project

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.

github/gh-aw · 5,108 stars · on GitHub · gh.io

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.

Any agent
npx skills add github/gh-aw --skill agentic_workflows
Clone the repo
git clone --depth 1 https://github.com/github/gh-aw

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 agentic-workflows

README.md
[![agentmods](https://agentmods.dev/badge/skills/github/gh-aw/agentic_workflows.svg)](https://agentmods.dev/skills/github/gh-aw/agentic_workflows)
Your own site
<a href="https://agentmods.dev/skills/github/gh-aw/agentic_workflows"><img src="https://agentmods.dev/badge/skills/github/gh-aw/agentic_workflows.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 537 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 5.1 $0.00020 $0.00537
Opus 5 $0.00010 $0.00269
Sonnet 5 $0.00004 $0.00107
Haiku 4.5 $0.00002 $0.00054

Measured 2d ago against content hash ba09d8ba4335, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

agentic-workflows 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 2d 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.

pkg/cli/data/agentic_workflows_skill.md · 38 lines

What it actually says

Agentic Workflows Router

Use this skill when a user asks to design, create, update, debug, or upgrade GitHub Agentic Workflows in this repository.

This skill is a dispatcher: identify the task type, load the matching workflow prompt/skill file, and follow it directly. Keep responses concise and ask a clarifying question if the correct prompt is unclear.

Repository overlay (optional):

  • If .github/aw/instructions.md exists, load it with @.github/aw/instructions.md after loading the matched prompt/skill.
  • Precedence: repository overlay instructions override upstream defaults when they conflict.

Read only the files you need: Load these files from github/gh-aw (they are not available locally). {{AW_FILE_LIST}} After loading the matching workflow prompt or skill, follow it directly:

  • Design workflows from scratch via interview: .github/aw/designer.md
  • Create new workflows: .github/aw/create-agentic-workflow.md
  • Configure or add declarative engines: .github/aw/configure-agentic-engine.md
  • Update existing workflows: .github/aw/update-agentic-workflow.md
  • Debug, audit, or investigate workflows: .github/aw/debug-agentic-workflow.md
  • Upgrade workflows and fix deprecations: .github/aw/upgrade-agentic-workflows.md
  • Create shared components or MCP wrappers: .github/aw/create-shared-agentic-workflow.md
  • Create report-generating workflows: .github/aw/report.md
  • Fix Dependabot manifest PRs: .github/aw/dependabot.md
  • Analyze coverage workflows: .github/aw/test-coverage.md
  • Render compact markdown charts: .github/aw/asciicharts.md
  • Map CLI commands to MCP usage: .github/aw/cli-commands.md
  • Choose workflow architecture and patterns: .github/aw/patterns.md
  • Optimize token usage and cost: .github/aw/token-optimization.md
  • Design long-running multi-agent research workflows: .github/aw/multi-agent-research.md
  • Add skills or agent plugins requested by the user (skills: / plugins: frontmatter, never on-the-fly installs): .github/aw/skills.md

When the task involves OTEL, OTLP, traces, observability backends, or telemetry-driven analysis, also read and follow skills/otel-queries/SKILL.md after loading the matching workflow prompt or skill.

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. 2d ago First seen · 38 lines · 20 tokens per session scan A ba09d8ba4335

Subscribe to this mod's changes

agentic-workflows is a skill published in the GitHub repository github/gh-aw (5,108 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 537 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 2026-09-05.

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