LangGraph_Researcher: Instructions file for Claude Code

CLAUDE.md

LangGraph_Researcher CLAUDE.md is an instructions file for Claude Code from fabao2024/LangGraph_Researcher. It costs 2,195 tokens per session, scanned A, original, MIT.

A set of instructions for working on LangGraph Researcher, an agent built with LangGraph and Google Gemini. It combines web search with tools for software tasks such as formatting commits, adding license headers, creating Pydantic models, and checking database schemas.

In plain words
What is it for?
Use it when developing or maintaining this LangGraph project, including its agent entry point, configuration, dependencies, and verification scripts.
Why use it?
It gives coding assistants the project context and repository structure they need to make consistent changes.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

This is fabao2024/LangGraph_Researcher's own configuration. It tells Claude Code how to work on LangGraph_Researcher itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything LangGraph_Researcher configures →

Reuse

Borrowing it

Nothing to install: this file belongs to fabao2024/LangGraph_Researcher. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fabao2024/LangGraph_Researcher/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/fabao2024/LangGraph_Researcher

Made for: Claude Code.

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Per session 2,195 This file is loaded in full into every session.
When invoked 2,195 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.02195 $0.02195
Opus 5 $0.01097 $0.01097
Sonnet 5 $0.00439 $0.00439
Haiku 4.5 $0.00219 $0.00219

Measured 9d ago against content hash f970cd68c24e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

LangGraph_Researcher 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 9d 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.

CLAUDE.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — LangGraph Researcher

This file provides guidance for AI assistants working in this repository.

Project Overview

LangGraph Researcher is a ReAct (Reasoning + Acting) agent built with LangGraph and Google Gemini. It combines web search with four specialized developer tools — called ADK Skills — that help with software tasks like formatting commits, adding license headers, generating Pydantic models, and validating database schemas.

The agent is exposed via LangGraph's API server and communicates entirely through the LangGraph chat interface.


Repository Structure

LangGraph_Researcher/
├── langgraph_101.py          # Agent entry point: LLM, tools, graph assembly
├── langgraph.json            # LangGraph configuration (graph name, version)
├── requirements.txt          # Python dependencies
├── verify_adk.py             # Test suite for all ADK skills
├── .env.example              # Required environment variables template
├── adk/
│   ├── __init__.py
│   ├── core.py               # @skill decorator (wraps functions as LangChain tools)
│   └── skills/
│       ├── __init__.py       # Re-exports all four skills
│       ├── git.py            # format_commit_message
│       ├── compliance.py     # add_license_header
│       ├── codegen.py        # generate_pydantic_model
│       └── data.py           # validate_schema
├── README.md                 # Documentation (Portuguese)
├── README.en.md              # Documentation (English)
└── CHANGELOG.md              # Version history (Keep a Changelog format)

Architecture

Agent (langgraph_101.py)

The agent is built with create_react_agent from langgraph.prebuilt. It:

  • Uses gemini-2.0-flash via ChatGoogleGenerativeAI with temperature=0.2
  • Has a Portuguese-language system prompt instructing it to search before answering, cite sources, and use ADK tools when appropriate
  • Exposes five tools to the LLM:
    1. search_web — Tavily search (max 5 results, advanced depth)
    2. format_commit_message — Conventional Commits formatter
    3. add_license_header — MIT license header injector
    4. generate_pydantic_model — JSON → Pydantic converter
    5. validate_schema — DB schema governance checker

Read the full file on GitHub · 245 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. 9d ago First seen · 245 lines · 2,195 tokens per session scan A f970cd68c24e

Subscribe to this mod's changes

LangGraph_Researcher CLAUDE.md is an instructions file published in the GitHub repository fabao2024/LangGraph_Researcher (5 stars, last pushed 6mo ago), licensed MIT. It adds 2,195 tokens to every session, about $0.0110 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 2026-08-31.

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