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/CLAUDE.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/claude-md)<a href="https://agentmods.dev/instructions/ranteck/graph-engineer/claude-md"><img src="https://agentmods.dev/badge/instructions/ranteck/graph-engineer/claude-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/claude-md"><img src="https://agentmods.dev/badge/instructions/ranteck/graph-engineer/claude-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 | $0.02365 | $0.02365 |
| Opus 5.5 | $0.00946 | $0.00946 |
| Sonnet 5.5 | $0.00473 | $0.00473 |
| Haiku 4.5 | $0.00236 | $0.00236 |
Grade A, and why
graph-engineer CLAUDE.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.
This is a copy
86% identical to graph-engineer AGENTS.md — 68 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What this repository is
This repo is a single Claude Code skill package named graph-engineer (plus its
README/LICENSE). There is no application code, no build step, no test suite, and no
package manifest — the repo's only artifact is the skill definition itself:
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
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.
Working in this repo
There is nothing to build, lint, or test. "Development" here means editing Markdown
(SKILL.md, README.md, the reference files) and keeping the following
consistent across all of 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.
- 1mo ago Changed · +17 lines · +264 tokens per session 2b35787f00d1
- 1mo ago Changed · +15 lines · +191 tokens per session 2b5c02187b3e
- 2mo ago First seen · 131 lines · 1,910 tokens per session scan A ae4bf1fd1867
graph-engineer CLAUDE.md is an instructions file published in the GitHub repository Ranteck/graph-engineer (105 stars, last pushed 1mo ago), licensed MIT. It adds 2,365 tokens to every session, about $0.0095 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to graph-engineer AGENTS.md, differing in 68 lines, and is treated as a copy.
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.