Borrowing it
Nothing to install: this file belongs to Ranteck/graph-engineer. 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/Ranteck/graph-engineer/develop/AGENTS.mdgit clone --depth 1 https://github.com/Ranteck/graph-engineerWrote 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/ranteck/graph-engineer/agents-md)<a href="https://agentmods.dev/instructions/ranteck/graph-engineer/agents-md"><img src="https://agentmods.dev/badge/instructions/ranteck/graph-engineer/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/ranteck/graph-engineer/agents-md"><img src="https://agentmods.dev/badge/instructions/ranteck/graph-engineer/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 | $0.02626 | $0.02626 |
| Opus 5.5 | $0.01050 | $0.01050 |
| Sonnet 5.5 | $0.00525 | $0.00525 |
| Haiku 4.5 | $0.00263 | $0.00263 |
Grade A, and why
graph-engineer 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- graph-engineer CLAUDE.md — 86% identical, 68 lines differ
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to Codex when maintaining this repository.
What this repository is
This repo's main artifact is a Claude Code skill package named graph-engineer,
which uses Codex as its default implementation and review worker. There is no
application code, build step, application test suite, or package manifest.
The skill lives here; supporting documentation, validation hooks, and cycle
state also exist in the repository:
skills/graph-engineer/
├── SKILL.md # the skill's instructions (source of truth)
└── references/
├── goal-templates.md # ready-to-use /goal templates per scenario
├── quality-gate-detection.md # generic quality-gate command resolver algorithm
├── elevated-assurance.md # optional opt-in multi-lens CRITIQUE variant
├── backend-selection.md # opt-in per-cycle writer/reviewer routing
├── context-lifecycle.md # scoped feature context, round history, and archival
└── sources.md # provenance: what's official Anthropic/OpenAI vs. not
Below, SKILL.md means skills/graph-engineer/SKILL.md; reference-file
basenames such as sources.md mean files in skills/graph-engineer/references/.
README.md at the repo root is the human-facing explanation of the same skill and
must stay consistent with skills/graph-engineer/SKILL.md — they describe the same
8-node cycle from two angles (marketing/usage vs. operational instructions). When
editing one, check whether the other needs a matching update (e.g. node numbering,
flag names, the anti-loop cutoff wording). Their section order is deliberately
different, though: README.md is ordered for reading (what is this → what does
the cycle look like → how do I use it → what can go wrong), while SKILL.md is
ordered for execution (node 0 through node 7 in sequence). Don't treat a
reordering of one as something that needs mirroring in the other — only the
claims need to match, not the layout.
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 · +53 lines · +763 tokens per session b490b5905d4b
- 1mo ago Changed · +15 lines · +191 tokens per session f5647dba06ee
- 1mo ago First seen · 117 lines · 1,672 tokens per session scan A da600a86d70d
graph-engineer AGENTS.md is an instructions file published in the GitHub repository Ranteck/graph-engineer (105 stars, last pushed 1mo ago), licensed MIT. It adds 2,626 tokens to every session, about $0.0105 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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.