graph-engineer CLAUDE.md

A contributor guide for the graph-engineer repository, which contains a single AI-agent skill package rather than application code. It explains the project structure, terminology, design rules, and supporting reference files.

In plain words
What is it for?
Orienting contributors, locating skill and reference files, applying the graph-engineer workflow, and preserving its core design rules.
Why use it?
It gives agents the repository context needed to edit the skill consistently. It also identifies which documents must remain aligned and describes the project’s central workflow.

Instructions file

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/ranteck/graph-engineer/claude-md
Clone the repo
git clone --depth 1 https://github.com/Ranteck/graph-engineer
Per session 1,910 This file is loaded in full into every session.
When invoked 1,910 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 86% copy Near-identical to another mod 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 $0.01910 $0.01910
Opus 5 $0.00955 $0.00955
Sonnet 5 $0.00382 $0.00382
Haiku 4.5 $0.00191 $0.00191

Measured 2d ago against content hash ae4bf1fd1867, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

Origin

This is a copy

86% identical to graph-engineer AGENTS.md — 32 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.

CLAUDE.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 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
    └── 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:

  • The 8-node cycle order and names: PRE-FLIGHT → SPEC → IMPL → QUALITY GATE → CRITIQUE → DEBATE/TRIAGE → REFACTOR → VERIFY.
  • The single entry point claim: every Codex interaction routes through the codex:codex-rescue subagent — no other /codex:* command is invoked programmatically by this skill.
  • The pinned plugin version (openai-codex v1.0.6) that the routing assumptions were verified against. If that version changes, README.md, SKILL.md, and sources.md all reference it and need to move together. Elevated assurance's fan-in barrier specifically depends on this version's --resume-last semantics (see sources.md's Verification method section) — a plugin update that adds resume-by-thread-ID could relax that barrier's requirements, but don't assume it without re-verifying the source.

Read the full file on GitHub · 131 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 · 131 lines · 1,910 tokens per session scan A ae4bf1fd1867

Subscribe to this mod's changes

graph-engineer CLAUDE.md is an instructions file published in the GitHub repository Ranteck/graph-engineer (101 stars, last pushed 5d ago), licensed MIT. It adds 1,910 tokens to every session, about $0.0095 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to graph-engineer AGENTS.md, differing in 32 lines, and is treated as a copy.

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