Borrowing it
Nothing to install: this file belongs to mitodl/ol-infrastructure. 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/mitodl/ol-infrastructure/main/AGENTS.mdgit clone --depth 1 https://github.com/mitodl/ol-infrastructureWrote 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/mitodl/ol-infrastructure/agents-md)<a href="https://agentmods.dev/instructions/mitodl/ol-infrastructure/agents-md"><img src="https://agentmods.dev/badge/instructions/mitodl/ol-infrastructure/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/mitodl/ol-infrastructure/agents-md"><img src="https://agentmods.dev/badge/instructions/mitodl/ol-infrastructure/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 | $0.02164 | $0.02164 |
| Opus 5.5 | $0.00866 | $0.00866 |
| Sonnet 5.5 | $0.00433 | $0.00433 |
| Haiku 4.5 | $0.00216 | $0.00216 |
Grade A, and why
ol-infrastructure 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 — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions for ol-infrastructure Repository
This is a large-scale infrastructure-as-code monorepo (467 Python files, ~91K lines of code) for managing MIT Open Learning's cloud infrastructure using Pulumi, Packer/PyInfra, and Concourse.
Scoped AGENTS.md files exist inside src/bilder/, src/ol_concourse/, and src/ol_infrastructure/ — read those when working inside those packages. This root file covers repo-wide concerns only.
Quick Start
# Environment setup (one-time)
uv sync
pulumi login s3://mitol-pulumi-state
# Validate your changes
uv run ruff format src/ # Auto-format code
uv run ruff check src/ # Check code quality
uv run mypy src/ # Type check (75s runtime)
uv run pytest tests/ # Run tests
Documentation Index
The AGENTS.md instructions have been organized into focused documents. Read the relevant sections for your task:
📋 Repository Overview
- Repository structure and organization
- Directory layout and purpose
- Environment requirements
- Critical build constraints
Use when: Understanding the codebase structure or finding where code should live
🔨 Build and Validation
- Environment setup and dependency installation
- Linting, formatting, and type checking commands
- Hooks (prek) and validation checklist
- Common build issues and solutions
Use when: Setting up environment, validating code, or fixing build errors
🔄 Pulumi Workflows → src/ol_infrastructure/AGENTS.md
Directory roles, stack naming, component rules, key helpers, validation. Deep reference: docs/context/03-pulumi-workflows.md
📦 Packer AMI Building → src/bilder/AGENTS.md
Build chain, PyInfra conventions, component reuse, HCL formatting. Deep reference: docs/context/04-packer-bilder.md
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 Changed · +1 tokens per session 5cb81343bec2
- 2mo ago Changed · +3 lines d8293463ab7d
- 2mo ago First seen · 236 lines · 2,163 tokens per session scan A 37029ffda8b2
ol-infrastructure AGENTS.md is an instructions file published in the GitHub repository mitodl/ol-infrastructure (59 stars, last pushed yesterday), licensed BSD-3-Clause. It adds 2,164 tokens to every session, about $0.0087 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 2026-08-30.
ol-infrastructure AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ol-infrastructure AGENTS.mdmitodl/ol-infrastructure | Instructions file | 59 | yesterday | BSD-3-Clause | A | 2,164 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |