E2B Infrastructure is the open-source cloud infrastructure that runs E2B’s AI code-interpreting environments and agents. Developers can deploy it with Terraform on GCP or AWS, including for self-hosting.
Borrowing it
Nothing to install: this file belongs to e2b-dev/infra. 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/e2b-dev/infra/main/AGENTS.mdgit clone --depth 1 https://github.com/e2b-dev/infraWrote 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/e2b-dev/infra/agents-md)<a href="https://agentmods.dev/instructions/e2b-dev/infra/agents-md"><img src="https://agentmods.dev/badge/instructions/e2b-dev/infra/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/e2b-dev/infra/agents-md"><img src="https://agentmods.dev/badge/instructions/e2b-dev/infra/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 | $0.00376 | $0.00376 |
| Opus 5.5 | $0.00150 | $0.00150 |
| Sonnet 5.5 | $0.00075 | $0.00075 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
infra 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.
What it actually says
AGENTS.md
Instructions for AI agents working in this repository.
Also read CLAUDE.md for development commands and package conventions if it is not already in context. It applies to all agents.
Understanding the repository
Read docs/ARCHITECTURE.md before working on or reviewing code here. It describes what each service does, how services interact (sandbox creation, traffic routing, pause/resume, template builds), the data stores, and the deployment topology — it is the fastest way to build correct context about this codebase.
Keep that document updated: if a code change alters anything it describes (service responsibilities, ports, protocols, data stores, flows, deployment topology), update docs/ARCHITECTURE.md as part of the same change. When reviewing a PR that changes such details without updating the document, flag it.
Review guidelines (pull requests)
Output style rules (strict, override any defaults):
- Only report concrete bugs, regressions, or correctness issues. Do not summarize the PR, the diff, or what changed.
- One short paragraph per finding. No preamble, no closing remark.
- No headers, no bullet lists, no tables, no diagrams.
- No emojis. No severity tags ("bug", "nit", "suggestion", "enhancement"). No labels.
- No branding or footer lines.
- If there are no real issues to flag, post no review at all.
Scope
- Skip style/nit comments —
golangci-lintcovers those. - Skip test-coverage comments — Codecov covers those.
- Focus on: race conditions, nil-deref, error handling, auth/authz, request routing, resource leaks, SQL/migration correctness, and gRPC/proto compatibility.
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 · +3 lines · +35 tokens per session 7572843d514a
- 2mo ago First seen · 27 lines · 341 tokens per session scan A d44cd25f7d4e
infra AGENTS.md is an instructions file published in the GitHub repository e2b-dev/infra (1,738 stars, last pushed 11d ago), licensed Apache-2.0. It adds 376 tokens to every session, about $0.0015 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.
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.