Borrowing it
Nothing to install: this file belongs to context4ai/agent-graph. 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/context4ai/agent-graph/main/AGENTS.mdgit clone --depth 1 https://github.com/context4ai/agent-graphWrote 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/context4ai/agent-graph/agents-md)<a href="https://agentmods.dev/instructions/context4ai/agent-graph/agents-md"><img src="https://agentmods.dev/badge/instructions/context4ai/agent-graph/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/context4ai/agent-graph/agents-md"><img src="https://agentmods.dev/badge/instructions/context4ai/agent-graph/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 | $0.00442 | $0.00442 |
| Opus 5.5 | $0.00177 | $0.00177 |
| Sonnet 5.5 | $0.00088 | $0.00088 |
| Haiku 4.5 | $0.00044 | $0.00044 |
Grade A, and why
agent-graph 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 2mo 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Graph
README · Development · English manual · 中文手册
Agent Graph is an independent open-source project. It defines a Skills-native graph specification and ships a reference SDK and CLI for authoring, validating, testing, building, evaluating, and inspecting agent workflows.
Engineering rules
- Use Bun for development commands and tests.
- Keep all runtime code Node.js compatible. Bun-only APIs are allowed only in build and test tooling.
- Use ESM and strict TypeScript.
- Keep route consumption agent-led: evaluation and route resolution must not execute model calls or lifecycle Actions; explicit authoring, import, build, Run, and materialization commands may write only to caller-selected paths.
- Treat provider facts and content digests as authoritative. Run history is not proof that external work is complete.
- Do not hard-code Claude, Codex, npm-global, home-directory, or workspace paths into the protocol.
- Long instructions, schemas, templates, and context views remain addressable files; do not inline them into routine CLI output.
- New protocol fields require matching schemas, documentation, tests, and at least one example.
- Keep English and Simplified Chinese user documentation behaviorally equivalent.
- Generated output belongs in
dist/or.tmp/and must not be committed.
Commands
bun install
bun run typecheck
bun run lint
bun run test
bun run build
bun run verify
Documentation ownership
README.md/README.zh-CN.md: product entry and quick start.docs/en//docs/zh-CN/: user manuals and specification guides.case-studies/: Agent Graph-owned examples or compatibility redirects. Product-specific case content and replay data belong to the integrating product repository and are linked from here rather than duplicated.DEVELOPMENT.md: contributor workflow and release checks.- Schema files in
schemas/: machine-readable contracts; prose must not contradict them.
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.
- 2mo ago First seen · 40 lines · 442 tokens per session scan A b065075b307d
agent-graph AGENTS.md is an instructions file published in the GitHub repository context4ai/agent-graph (17 stars, last pushed 19d ago), licensed MIT. It adds 442 tokens to every session, about $0.0018 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.
agent-graph AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-graph AGENTS.mdcontext4ai/agent-graph | Instructions file | 17 | 19d ago | MIT | A | 442 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 3d ago | MIT | A | 4,313 | Codex, OpenCode |