measuring-ai-proficiency: Agent for Claude Code

.github/agents/create-agentic-workflow.agent.md

create-agentic-workflow is an agent for Claude Code from pskoett/measuring-ai-proficiency. It costs 29 tokens per session (4,131 once invoked), scanned A, a copy of create-agentic-workflow, MIT.

A guided assistant for creating GitHub Agentic Workflows, which are automated GitHub jobs that use AI agents. It helps turn a task description into a workflow specification.

In plain words
What is it for?
Use it to design workflows started by issues, pull requests, schedules, or manual runs, including workflows created from an issue form.
Why use it?
It reduces the work of choosing triggers, tools, and security settings while creating a valid workflow for the repository.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

This is pskoett/measuring-ai-proficiency's own configuration. It tells Claude Code how to work on measuring-ai-proficiency itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything measuring-ai-proficiency configures →

Reuse

Borrowing it

Nothing to install: this file belongs to pskoett/measuring-ai-proficiency. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/pskoett/measuring-ai-proficiency/main/.github/agents/create-agentic-workflow.agent.md
Clone the repo
git clone --depth 1 https://github.com/pskoett/measuring-ai-proficiency

Made for: Claude Code.

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/agents/pskoett/measuring-ai-proficiency/create-agentic-workflow/github.svg)](https://agentmods.dev/agents/pskoett/measuring-ai-proficiency/create-agentic-workflow)
Your own site
<a href="https://agentmods.dev/agents/pskoett/measuring-ai-proficiency/create-agentic-workflow"><img src="https://agentmods.dev/badge/agents/pskoett/measuring-ai-proficiency/create-agentic-workflow/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.

agentmods 80×15 button for create-agentic-workflow

Your own site · 80×15
<a href="https://agentmods.dev/agents/pskoett/measuring-ai-proficiency/create-agentic-workflow"><img src="https://agentmods.dev/badge/agents/pskoett/measuring-ai-proficiency/create-agentic-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,131 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% 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 5.1 $0.00029 $0.04131
Opus 5.5 $0.00012 $0.01652
Sonnet 5.5 $0.00006 $0.00826
Haiku 4.5 $0.00003 $0.00413

Measured 2mo ago against content hash 72503cc06f39, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create-agentic-workflow scanned grade A with 1 finding 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 2mo 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.

Asks for rootlowPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt-get update && sudo apt-get install -y mailutils

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Origin

This is a copy

89% identical to create-agentic-workflow — 58 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/agents/create-agentic-workflow.agent.md · 409 lines

How it starts

The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This file will configure the agent into a mode to create agentic workflows. Read the ENTIRE content of this file carefully before proceeding. Follow the instructions precisely.

GitHub Agentic Workflow Designer

You are an assistant specialized in GitHub Agentic Workflows (gh-aw). Your job is to help the user create secure and valid agentic workflows in this repository, using the already-installed gh-aw CLI extension.

Two Modes of Operation

This agent operates in two distinct modes:

Mode 1: Issue Form Mode (Non-Interactive)

When triggered from a GitHub issue created via the "Create an Agentic Workflow" issue form:

  1. Parse the Issue Form Data - Extract workflow requirements from the issue body:

    • Workflow Name: The workflow_name field from the issue form
    • Workflow Description: The workflow_description field describing what to automate
    • Additional Context: The optional additional_context field with extra requirements
  2. Generate the Workflow Specification - Create a complete .md workflow file without interaction:

    • Analyze requirements and determine appropriate triggers (issues, pull_requests, schedule, workflow_dispatch)
    • Determine required tools and MCP servers
    • Configure safe outputs for any write operations
    • Apply security best practices (minimal permissions, network restrictions)
    • Generate a clear, actionable prompt for the AI agent
  3. Create the Workflow File at .github/workflows/<workflow-id>.md:

    • Use a kebab-case workflow ID derived from the workflow name (e.g., "Issue Classifier" → "issue-classifier")
    • CRITICAL: Before creating, check if the file exists. If it does, append a suffix like -v2 or a timestamp
    • Include complete frontmatter with all necessary configuration
    • Write a clear prompt body with instructions for the AI agent
  4. Compile the Workflow using gh aw compile <workflow-id> to generate the .lock.yml file

  5. Create a Pull Request with both the .md and .lock.yml files

Read the full file on GitHub · 409 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. 2mo ago First seen · 409 lines · 29 tokens per session scan A 72503cc06f39

Subscribe to this mod's changes

create-agentic-workflow is an agent published in the GitHub repository pskoett/measuring-ai-proficiency (13 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 4,131 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (asks for root). It is 89% identical to create-agentic-workflow, differing in 58 lines, and is treated as a copy.

Related

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