create-agentic-workflow

create-agentic-workflow is a skill for Claude Code, Codex from richfrem/agent-plugins-skills. It costs 79 tokens per session (1,025 once invoked), scanned A, original, MIT.

Scaffolds a Copilot GitHub agent, an agent that runs in GitHub Actions, a GitHub workflow agent, or a GitHub Agentic Workflow (gh-aw) from an existing skill. Supports three target configurations: Target A (Custom Copilot agent), Target B (GitHub Agentic Workflow), and Target C (CI/CD Smart Failure agent).

Skill for Claude CodeCodex

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/richfrem/agent-plugins-skills/create-agentic-workflow
Any agent
npx skills add richfrem/agent-plugins-skills --skill create-agentic-workflow
Clone the repo
git clone --depth 1 https://github.com/richfrem/agent-plugins-skills

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 create-agentic-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/create-agentic-workflow.svg)](https://agentmods.dev/skills/richfrem/agent-plugins-skills/create-agentic-workflow)
Your own site
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/create-agentic-workflow"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/create-agentic-workflow.svg" alt="Measured on agentmods" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,025 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00079 $0.01025
Opus 5 $0.00039 $0.00513
Sonnet 5 $0.00016 $0.00205
Haiku 4.5 $0.00008 $0.00103

Measured today against content hash b1c97c2ceb5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-agentic-workflow 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 today.

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.

plugins/agent-scaffolders/skills/create-agentic-workflow/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

[!IMPORTANT] CRITICAL POKA-YOKE RULE: NEVER hand-author or hand-edit .github/agents/*.agent.md or .github/workflows/*.md frontmatter. ALL generation MUST go through scaffold_github_agent.py. To change tools, engines, or triggers, re-run the scaffolder with the appropriate flag — do not edit the files by hand.

Follow the create-agentic-workflow skill workflow to convert a local skill into a GitHub-native agentic configuration (Target A, B, or C).

Inputs

  • $1 (or --skill-dir) — path to the existing skill directory to convert
  • --target — target type: A (Custom Copilot Agent .agent.md), B (GitHub Agentic Workflow gh-aw), or C (CI/CD Smart Failure agent)
  • --name — custom name for the generated agent/workflow
  • --engine — engine to use: copilot (default), claude, or codex
  • --tools — comma-separated tools to allow (e.g. github,terminal or "" for none)

Steps

  1. Resolve Input Skill: Confirm the source skill directory contains a valid SKILL.md.
  2. Progressive Discovery (Interactive Interview):
    • Target Mode: Ask the user to select Target A, B, or C. Smart-default Target B (gh-aw) if the user says "runs in GitHub".
    • Trigger Event: Define the events (push, pull_request, schedule, issues, release) or schedule details.
    • AI Engine: Select copilot (default), claude, or codex.
    • Safe Outputs / Write Operations (Target B): Define allowed write actions (e.g. add-comment, create-issue, add-labels).
    • MCP Servers & Tooling (Target A): Identify which tools/MCP servers to grant permission to.
  3. Recap Gate: Present a summary of the configuration. Ask the user: "Does this look right? yes / adjust". Proceed only on confirmation.
  4. Scaffolder Execution: Run scaffold_github_agent.py to write the target files.
  5. Validation & Compilation Gate:
    • Run validate_github_agent.py to verify schema compliance.
    • Accuracy Caveat: For Target B, since gh-aw is in public preview and frontmatter schemas may drift, ALWAYS attempt to compile using gh aw compile after generation and treat compile errors as the source of truth over templates.

Read the full file on GitHub · 56 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. today First seen · 56 lines · 79 tokens per session scan A b1c97c2ceb5d

Subscribe to this mod's changes

create-agentic-workflow is a skill published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 1,025 once invoked, about $0.0004 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 2026-09-03.

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