Borrowing it
Nothing to install: this file belongs to tokencanopy/e2a. 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/tokencanopy/e2a/main/AGENTS.mdgit clone --depth 1 https://github.com/tokencanopy/e2aWrote 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/tokencanopy/e2a/agents-md)<a href="https://agentmods.dev/instructions/tokencanopy/e2a/agents-md"><img src="https://agentmods.dev/badge/instructions/tokencanopy/e2a/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/tokencanopy/e2a/agents-md"><img src="https://agentmods.dev/badge/instructions/tokencanopy/e2a/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 | $0.07115 | $0.07115 |
| Opus 5.5 | $0.02846 | $0.02846 |
| Sonnet 5.5 | $0.01423 | $0.01423 |
| Haiku 4.5 | $0.00711 | $0.00711 |
Grade A, and why
e2a 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 18d 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 — 466 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI coding agents working in this repository (Claude Code reads
this file via the @AGENTS.md import in CLAUDE.md). Assumes no prior
knowledge of the project. For deeper prose, see README.md (product),
CONTRIBUTING.md (contributor workflow), docs/ (API reference,
deployment, design docs), and SECURITY.md.
Public repository data boundary (non-negotiable)
This repository and all of its GitHub surfaces are public. Never put real
customer data or non-public production-derived data in source files, tests,
fixtures, generated artifacts, commit messages, branch names,
PR/issue/discussion titles or bodies, review comments, screenshots, log
excerpts, or benchmark output. This includes email and agent addresses,
customer domains or names, user/account/agent/message/contact IDs, message
content or subjects, customer-specific URLs or IP addresses, timestamps tied to
customer activity, and delivery, bounce, or incident details that can be
correlated to a customer. An address on agents.e2a.dev is a customer
identifier, not a safe example value. Public service metadata deliberately
documented for users, such as https://api.e2a.dev, is not customer data.
Before any GitHub-facing write, replace production-derived values with synthetic
ones such as example.com, .test, .invalid, agents.localhost, or clearly
fictional resource IDs. Describe production evidence only in anonymized,
non-correlatable terms (for example, "a production customer saw repeated SMTP
rejections"). Keep exact evidence only in an approved private incident or
operations system. Relevance to a fix is not an exception to this boundary.
If customer data is found before push, stop and rewrite the affected files and commits. If it reaches GitHub, treat it as a data exposure: stop propagation, notify Josh/security, sanitize the PR or issue, rewrite reachable Git history, check related refs/forks/caches, and contact GitHub Support when cached views or references need purging. Deleting the visible text alone is not sufficient.
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.
- 18d ago Changed · +1 lines · +20 tokens per session 9636ad7e4946
- 19d ago Changed · +3 lines · +46 tokens per session 9215c9faca4e
- 1mo ago Changed · +13 lines · +226 tokens per session ae417e54742d
- 1mo ago First seen · 449 lines · 6,823 tokens per session scan A d0e192467c73
e2a AGENTS.md is an instructions file published in the GitHub repository tokencanopy/e2a (194 stars, last pushed 6d ago), licensed Apache-2.0. It adds 7,115 tokens to every session, about $0.0285 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.
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.
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).