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 instructions/githubnext/gh-aw-workshop/agents-mdgit clone --depth 1 https://github.com/githubnext/gh-aw-workshopWhat 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 | $0.03369 | $0.03369 |
| Opus 5 | $0.01684 | $0.01684 |
| Sonnet 5 | $0.00674 | $0.00674 |
| Haiku 4.5 | $0.00337 | $0.00337 |
Grade A, and why
gh-aw-workshop AGENTS.md 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- yesterday First seen · 223 lines · 3,369 tokens per session scan A ddf9097fca98
gh-aw-workshop AGENTS.md is an instructions file published in the GitHub repository githubnext/gh-aw-workshop (40 stars, last pushed yesterday), with no licence file. It adds 3,369 tokens to every session, about $0.0168 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 2026-08-30.
Other instructions, from other repositories
ai-ready AGENTS.md
Instructions for johnpapa/ai-ready, covering ai-ready repo — agent guide, repository structure, tech stack, build & run and testing.
build-applications-w-copilot-agent-mode octofit_tracker_django_backend.instructions.md
Instructions for skills/build-applications-w-copilot-agent-mode, covering octofit tracker logic + data tier guidelines, logic tier (node.js + express + typescript) and data tier (mongodb + mongoose).
build-applications-w-copilot-agent-mode octofit_tracker_react_frontend.instructions.md
Instructions for skills/build-applications-w-copilot-agent-mode, covering octofit tracker react presentation tier guidelines and images.
ai-ready copilot-instructions.md
Instructions for johnpapa/ai-ready, covering copilot instructions — ai-ready, project type, writing conventions, markdown and yaml (skill frontmatter, workflows, issue templates).
obsidian-knowledge-agent AGENTS.md
Instructions for Michael-OvO/obsidian-knowledge-agent, covering agents.md — obsidian knowledge agent, how to work, what this vault is, instruction files and core rules.
rosetta mcp-tool-descriptions.instructions.md
Tool descriptions should teach agents how to navigate the surface: workflow arrows, empty-result hints, boundaries, and result-budget cues.