agentic-workflows

A routing skill for GitHub Agentic Workflows, a GitHub CLI extension that defines AI-driven workflows in Markdown files. It chooses the relevant instructions for designing, creating, updating, debugging, or upgrading those workflows.

In plain words
What is it for?
Use it when working on GitHub Agentic Workflow requests in the repository, including workflow design, creation, changes, debugging, and upgrades.
Why use it?
It helps you start with the correct workflow guidance when a request could involve several different tasks. Repository-specific instructions can override the defaults.

Skill for Claude CodeCodex

View the source file cli/cli
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.

agentmods
npx agentmods add skills/cli/cli/agentic-workflows
Any agent
npx skills add cli/cli --skill agentic-workflows
Clone the repo
git clone --depth 1 https://github.com/cli/cli

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,126 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 98% copy Near-identical to another mod 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 $0.00020 $0.01126
Opus 5 $0.00010 $0.00563
Sonnet 5 $0.00004 $0.00225
Haiku 4.5 $0.00002 $0.00113

Measured yesterday against content hash ef386b9263c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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.

Origin

This is a copy

98% identical to agentic-workflows — 12 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.

.github/skills/agentic-workflows/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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).

  • .github/aw/action-container-substitutions.md
  • .github/aw/agentic-chat.md
  • .github/aw/agentic-workflows-mcp.md
  • .github/aw/asciicharts.md
  • .github/aw/campaign.md
  • .github/aw/charts-trending.md
  • .github/aw/charts.md
  • .github/aw/cli-commands.md
  • .github/aw/configure-agentic-engine.md
  • .github/aw/context.md
  • .github/aw/create-agentic-workflow-trigger-details.md
  • .github/aw/create-agentic-workflow.md
  • .github/aw/create-shared-agentic-workflow.md
  • .github/aw/debug-agentic-workflow.md
  • .github/aw/dependabot.md
  • .github/aw/deployment-status.md
  • .github/aw/designer.md
  • .github/aw/evals.md
  • .github/aw/experiments.md
  • .github/aw/github-agentic-workflows.md
  • .github/aw/github-mcp-server.md
  • .github/aw/instructions.md
  • .github/aw/llms.md
  • .github/aw/loop.md
  • .github/aw/lsp.md
  • .github/aw/mcp-clis.md
  • .github/aw/memory-stateful-patterns.md
  • .github/aw/memory.md
  • .github/aw/messages.md
  • .github/aw/multi-agent-research.md
  • .github/aw/network.md
  • .github/aw/optimize-agentic-workflow.md
  • .github/aw/patterns.md
  • .github/aw/pr-reviewer.md
  • .github/aw/report.md
  • .github/aw/reuse.md
  • .github/aw/safe-outputs-automation.md
  • .github/aw/safe-outputs-content.md
  • .github/aw/safe-outputs-management.md
  • .github/aw/safe-outputs-runtime.md
  • .github/aw/safe-outputs.md
  • .github/aw/serena-tool.md
  • .github/aw/shared-safe-jobs.md
  • .github/aw/skills.md
  • .github/aw/subagents.md
  • .github/aw/syntax-agentic.md
  • .github/aw/syntax-core.md
  • .github/aw/syntax-tools-imports.md
  • .github/aw/syntax.md
  • .github/aw/test-coverage.md
  • .github/aw/test-expression.md
  • .github/aw/token-optimization.md
  • .github/aw/triggers.md
  • .github/aw/update-agentic-workflow.md
  • .github/aw/upgrade-agentic-workflows.md
  • .github/aw/visual-regression.md
  • .github/aw/workflow-constraints.md
  • .github/aw/workflow-editing.md
  • .github/aw/workflow-patterns.md

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

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.

Read the full file on GitHub · 96 lines

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. yesterday First seen · 96 lines · 20 tokens per session scan A ef386b9263c8

Subscribe to this mod's changes

agentic-workflows is a skill published in the GitHub repository cli/cli (46,073 stars, last pushed 3d ago), licensed MIT. It adds 20 tokens to every session and 1,126 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to agentic-workflows, differing in 12 lines, and is treated as a copy.