Borrowing it
Nothing to install: this file belongs to Andamio-Platform/coach. 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/Andamio-Platform/coach/main/AGENTS.mdgit clone --depth 1 https://github.com/Andamio-Platform/coachWrote 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/instructions/andamio-platform/coach/agents-md)<a href="https://agentmods.dev/instructions/andamio-platform/coach/agents-md"><img src="https://agentmods.dev/badge/instructions/andamio-platform/coach/agents-md/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.
<a href="https://agentmods.dev/instructions/andamio-platform/coach/agents-md"><img src="https://agentmods.dev/badge/instructions/andamio-platform/coach/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01246 | $0.01246 |
| Opus 5.5 | $0.00498 | $0.00498 |
| Sonnet 5.5 | $0.00249 | $0.00249 |
| Haiku 4.5 | $0.00125 | $0.00125 |
Grade A, and why
coach 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 1mo 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project context for AI agents working in this repository. Read this file to understand the project, conventions, and workflow.
Project Overview
Coach is a skills and knowledge workspace for AI-assisted course development. The primary artifacts are agent skill definitions (skills/), YAML knowledge files (knowledge/), and markdown documentation.
This is not a code project. Course content lives in separate repos that symlink to this one. See docs/setup-course-repo.md for the pattern.
Directory Structure
skills/ # Agent skill definitions (15 skills, Agent Skills standard)
start/ # Entry point — welcome and pathway selection
beginner/ # Guided pathway for new course creators
apprentice/ # Collaborative pathway for content experts
teacher/ # Fast-track pathway for experienced educators
course-workflow/ # Orchestrates the 12-phase workflow
draft-slts/ # Generates SLTs from topic, audience, and goals
assess-slts/ # Evaluates SLT quality across 5 dimensions
self-assess-readiness/ # Evaluates coaching readiness per SLT
classify-lesson-types/ # Classifies SLTs by lesson type
gather-screenshots/ # Screenshot checklists for Product Demo lessons
gather-code-examples/ # Code example checklists for Developer Documentation
compound/ # Extracts patterns to improve future runs
compile/ # Packages modules into Andamio import format
andamio-cli/ # Import/export content via Andamio CLI
release/ # Publishes new versions across all channels
knowledge/ # Compound knowledge base (YAML files)
index.yaml # Master index and aggregate stats
voice-patterns.md # Prose style guide for lesson writing
slt-patterns/ # Verb bank, quality issues, successful rewrites
readiness/ # Context leverage rankings, calibration data
lesson-types/ # Heuristics and edge cases
lesson-writing/ # Style anti-patterns and acceptable patterns
compile/ # Import gotchas discovered during platform uploads
research/ # SLT research report
docs/ # Framework and product documentation
scripts/ # Setup script for course repos
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.
- 1mo ago First seen · 95 lines · 1,246 tokens per session scan A ed9acf16990e
coach AGENTS.md is an instructions file published in the GitHub repository Andamio-Platform/coach (6 stars, last pushed 12d ago), licensed MIT. It adds 1,246 tokens to every session, about $0.0050 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.