Borrowing it
Nothing to install: this file belongs to TheSmuks/ai-project-template. 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/TheSmuks/ai-project-template/main/AGENTS.mdgit clone --depth 1 https://github.com/TheSmuks/ai-project-templateWrote 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/thesmuks/ai-project-template/agents-md)<a href="https://agentmods.dev/instructions/thesmuks/ai-project-template/agents-md"><img src="https://agentmods.dev/badge/instructions/thesmuks/ai-project-template/agents-md.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 | $0.01879 | $0.01879 |
| Opus 5 | $0.00940 | $0.00940 |
| Sonnet 5 | $0.00376 | $0.00376 |
| Haiku 4.5 | $0.00188 | $0.00188 |
Grade A, and why
ai-project-template 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 8d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Context
If this is a new project from the ai-project-template, read SETUP_GUIDE.md first. If you're integrating this into an existing project, read ADOPTING.md instead.
This file is auto-discovered by AI coding agents (OMP, Codex, Cursor, Aider, Jules, VS Code, and others). It provides project-level context that guides agent behavior.
Project Overview
- Name:
- Description:
- Primary Language:
Build & Run
- Install pre-commit hooks:
pip install pre-commit && pre-commit install
# Install dependencies
# Build
# Run
# Run tests
# Lint
# Type check
Code Style
- Follow the existing patterns in the codebase
- Write descriptive commit messages (see CONTRIBUTING.md)
- Keep functions small and focused
- Add tests for new behavior
- Update CHANGELOG.md for user-facing changes
- Follow Tiger Style principles: assertions, bounded operations, zero tech debt. See the guide for details.
Module and File Size Guidelines
| Metric | Guideline | Action if exceeded |
|---|---|---|
| File length | lines | Split into focused modules |
| Function/method length | lines | Extract helpers |
| Module exports | public symbols | Re-evaluate module boundary |
| Nesting depth | levels | Flatten with early returns or extract |
When a file or function exceeds these guidelines:
- Consider whether the code has multiple responsibilities
- If yes, extract the secondary concern into its own module
- If no, add a comment explaining why the length is justified
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.
- 8d ago First seen · 180 lines · 1,879 tokens per session scan A 9053f380423b
ai-project-template AGENTS.md is an instructions file published in the GitHub repository TheSmuks/ai-project-template (6 stars, last pushed 3mo ago), licensed MIT. It adds 1,879 tokens to every session, about $0.0094 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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.
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 oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.