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.
npx agentmods add agents/pskoett/measuring-ai-proficiency/create-agentic-workflowgit clone --depth 1 https://github.com/pskoett/measuring-ai-proficiencyWrote 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.
[](https://agentmods.dev/agents/pskoett/measuring-ai-proficiency/create-agentic-workflow)<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="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00029 | $0.04131 |
| Opus 5 | $0.00015 | $0.02065 |
| Sonnet 5 | $0.00006 | $0.00826 |
| Haiku 4.5 | $0.00003 | $0.00413 |
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 4d 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.
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.
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:
-
Parse the Issue Form Data - Extract workflow requirements from the issue body:
- Workflow Name: The
workflow_namefield from the issue form - Workflow Description: The
workflow_descriptionfield describing what to automate - Additional Context: The optional
additional_contextfield with extra requirements
- Workflow Name: The
-
Generate the Workflow Specification - Create a complete
.mdworkflow 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
-
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
-v2or a timestamp - Include complete frontmatter with all necessary configuration
- Write a clear prompt body with instructions for the AI agent
-
Compile the Workflow using
gh aw compile <workflow-id>to generate the.lock.ymlfile -
Create a Pull Request with both the
.mdand.lock.ymlfiles
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.
- 4d ago First seen · 409 lines · 29 tokens per session scan A 72503cc06f39
create-agentic-workflow is an agent published in the GitHub repository pskoett/measuring-ai-proficiency (9 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 4,131 once invoked, about $0.0001 per session on Opus 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.
Other agents, from other repositories
any-coding-agent
Compact control guide for coding agents without a named integration — Cline, Windsurf, Devin, Aider, OpenHands, or anything else that can run a shell command or speak MCP. The named guides (codex.md, claude-code.md, cursor.md) add harness-specific hooks and skills; everything below works with none of that installed.
devops_engineer
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issue-feature-review
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roadmap
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Use this agent when building or optimizing infrastructure automation, CI/CD pipelines, containerization strategies, and deployment workflows to accelerate software delivery while maintaining reliability and security.
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