agent-graph AGENTS.md

Project instructions for Agent Graph, an open-source toolkit for describing, checking, testing, building, and inspecting workflows made from AI-agent skills. They cover engineering rules, commands, documentation, and who owns different parts of the project.

In plain words
What is it for?
Use them when modifying Agent Graph code, schemas, command-line tools, documentation, tests, or workflow definitions.
Why use it?
They give the agent the project's specific rules so changes fit its TypeScript, Node.js, documentation, testing, and file-writing requirements.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/context4ai/agent-graph/agents-md
Clone the repo
git clone --depth 1 https://github.com/context4ai/agent-graph

Made for: Codex, OpenCode.

Per session 442 This file is loaded in full into every session.
When invoked 442 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00442 $0.00442
Opus 5 $0.00221 $0.00221
Sonnet 5 $0.00088 $0.00088
Haiku 4.5 $0.00044 $0.00044

Measured 2d ago against content hash b065075b307d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

AGENTS.md · 40 lines

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.

Read the full file on GitHub · 40 lines

Changes

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.

  1. 2d ago First seen · 40 lines · 442 tokens per session scan A b065075b307d

Subscribe to this mod's changes

agent-graph AGENTS.md is an instructions file published in the GitHub repository context4ai/agent-graph (12 stars, last pushed 2d ago), licensed MIT. It adds 442 tokens to every session, about $0.0022 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 2026-08-30.