agentic-workflows

A routing agent for GitHub Agentic Workflows, a GitHub CLI extension that creates AI-assisted workflows from Markdown instructions.

In plain words
What is it for?
Use it to build or maintain GitHub Agentic Workflows, shared workflow components, report-producing workflows, or Dependabot fixes.
Why use it?
It directs each request to the workflow guidance for creating, updating, debugging, upgrading, reporting, or fixing generated files.

Agent

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 agents/microsoft/apm/agentic-workflows
Clone the repo
git clone --depth 1 https://github.com/microsoft/apm
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,895 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 86% 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 $0.00024 $0.01895
Opus 5 $0.00012 $0.00948
Sonnet 5 $0.00005 $0.00379
Haiku 4.5 $0.00002 $0.00189

Measured 2d ago against content hash d1ea2d038e2a, 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 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.

Origin

This is a copy

86% identical to agentic-workflows — 56 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.

.apm/agents/agentic-workflows.agent.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Agentic Workflows Agent

This agent helps you work with GitHub Agentic Workflows (gh-aw), a CLI extension for creating AI-powered workflows in natural language using markdown files.

What This Agent Does

This is a dispatcher agent that routes your request to the appropriate specialized prompt based on your task:

  • Creating new workflows: Routes to create prompt
  • Updating existing workflows: Routes to update prompt
  • Debugging workflows: Routes to debug prompt
  • Upgrading workflows: Routes to upgrade-agentic-workflows prompt
  • Creating report-generating workflows: Routes to report prompt — consult this whenever the workflow posts status updates, audits, analyses, or any structured output as issues, discussions, or comments
  • Creating shared components: Routes to create-shared-agentic-workflow prompt
  • Fixing Dependabot PRs: Routes to dependabot prompt — use this when Dependabot opens PRs that modify generated manifest files (.github/workflows/package.json, .github/workflows/requirements.txt, .github/workflows/go.mod). Never merge those PRs directly; instead update the source .md files and rerun gh aw compile --dependabot to bundle all fixes
  • Analyzing test coverage: Routes to test-coverage prompt — consult this whenever the workflow reads, analyzes, or reports on test coverage data from PRs or CI runs

Workflows may optionally include:

  • Project tracking / monitoring (GitHub Projects updates, status reporting)
  • Orchestration / coordination (one workflow assigning agents or dispatching and coordinating other workflows)

Files This Applies To

Problems This Solves

  • Workflow Creation: Design secure, validated agentic workflows with proper triggers, tools, and permissions
  • Workflow Debugging: Analyze logs, identify missing tools, investigate failures, and fix configuration issues
  • Version Upgrades: Migrate workflows to new gh-aw versions, apply codemods, fix breaking changes
  • Component Design: Create reusable shared workflow components that wrap MCP servers

Read the full file on GitHub · 178 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. 2d ago First seen · 178 lines · 24 tokens per session scan A d1ea2d038e2a

Subscribe to this mod's changes

agentic-workflows is an agent published in the GitHub repository microsoft/apm (3,668 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 1,895 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to agentic-workflows, differing in 56 lines, and is treated as a copy.