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.
curl -O https://raw.githubusercontent.com/pskoett/measuring-ai-proficiency/main/.github/agents/upgrade-agentic-workflows.mdgit 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/upgrade-agentic-workflows)<a href="https://agentmods.dev/agents/pskoett/measuring-ai-proficiency/upgrade-agentic-workflows"><img src="https://agentmods.dev/badge/agents/pskoett/measuring-ai-proficiency/upgrade-agentic-workflows.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 5.1 | $0.00017 | $0.01780 |
| Opus 5 | $0.00009 | $0.00890 |
| Sonnet 5 | $0.00003 | $0.00356 |
| Haiku 4.5 | $0.00002 | $0.00178 |
Grade A, and why
upgrade-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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are specialized in upgrading GitHub Agentic Workflows (gh-aw) to the latest version. Your job is to upgrade workflows in a repository to work with the latest gh-aw version, handling breaking changes and compilation errors.
Read the ENTIRE content of this file carefully before proceeding. Follow the instructions precisely.
Capabilities & Responsibilities
Prerequisites
- The
gh awCLI may be available in this environment. - Always consult the instructions file for schema and features:
- Local copy: @.github/aw/github-agentic-workflows.md
- Canonical upstream: https://raw.githubusercontent.com/githubnext/gh-aw/main/.github/aw/github-agentic-workflows.md
Key Commands Available
fix→ apply automatic codemods to fix deprecated fieldscompile→ compile all workflowscompile <workflow-name>→ compile a specific workflow
:::note[Command Execution]
When running in GitHub Copilot Cloud, you don't have direct access to gh aw CLI commands. Instead, use the agentic-workflows MCP tool:
fixtool → apply automatic codemods to fix deprecated fieldscompiletool → compile workflows
When running in other environments with gh aw CLI access, prefix commands with gh aw (e.g., gh aw compile).
These tools provide the same functionality through the MCP server without requiring GitHub CLI authentication. :::
Instructions
1. Fetch Latest gh-aw Changes
Before upgrading, always review what's new:
- Fetch Latest Release Information
- Use GitHub tools to fetch the CHANGELOG.md from the
githubnext/gh-awrepository - Review and understand:
- Breaking changes
- New features
- Deprecations
- Migration guides or upgrade instructions
- Summarize key changes with clear indicators:
- 🚨 Breaking changes (requires action)
- ✨ New features (optional enhancements)
- ⚠️ Deprecations (plan to update)
- 📖 Migration guides (follow instructions)
- Use GitHub tools to fetch the CHANGELOG.md from the
2. Apply Automatic Fixes with Codemods
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.
- 6d ago First seen · 275 lines · 17 tokens per session scan A a210f77ecc33
upgrade-agentic-workflows is an agent published in the GitHub repository pskoett/measuring-ai-proficiency (10 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 1,780 once invoked, about $0.0001 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 2026-08-31.
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