local-deep-research: Instructions file for Claude Code

CLAUDE.md

local-deep-research CLAUDE.md is an instructions file for Claude Code from LearningCircuit/local-deep-research. It costs 5 tokens per session, scanned A, a copy of deepseek-harness CLAUDE.md, MIT.

Project instructions for Claude Code, an AI coding assistant, in a local research system.

In plain words
What is it for?
Use them when asking Claude Code to search research sources or private files through the local-deep-research project.
Why use it?
They tell Claude Code how this research project is organised and how it supports local or cloud models and sources such as arXiv, PubMed, and private documents.

Instructions file for Claude Code

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

This is LearningCircuit/local-deep-research's own configuration. It tells Claude Code how to work on local-deep-research 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 local-deep-research configures →

About the project

LearningCircuit/local-deep-research is a research assistant that uses language models and search engines to investigate questions and produce cited reports, while supporting local models, cloud models, and private documents. It is for people who want to conduct research with their own searchable knowledge base and keep their data local and encrypted. The catalogue lists three instructions for working with it.

LearningCircuit/local-deep-research · 9,506 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to LearningCircuit/local-deep-research. 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/LearningCircuit/local-deep-research/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/LearningCircuit/local-deep-research

Made for: Claude Code.

Wrote 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.

agentmods badge for local-deep-research CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/learningcircuit/local-deep-research/claude-md/github.svg)](https://agentmods.dev/instructions/learningcircuit/local-deep-research/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/learningcircuit/local-deep-research/claude-md"><img src="https://agentmods.dev/badge/instructions/learningcircuit/local-deep-research/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.

agentmods 80×15 button for local-deep-research CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/learningcircuit/local-deep-research/claude-md"><img src="https://agentmods.dev/badge/instructions/learningcircuit/local-deep-research/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 5 This file is loaded in full into every session.
When invoked 5 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 100% 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 5.1 $0.00005 $0.00005
Opus 5.5 $0.00002 $0.00002
Sonnet 5.5 $0.00001 $0.00001
Haiku 4.5 $0.00001 $0.00001

Measured 7d ago against content hash 336cc4fbf19b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

local-deep-research 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 7d 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

100% identical to deepseek-harness CLAUDE.md — 3 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 · 2 lines

What it actually says

@AGENTS.md

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. 7d ago First seen · 2 lines · 5 tokens per session scan A 336cc4fbf19b

Subscribe to this mod's changes

local-deep-research CLAUDE.md is an instructions file published in the GitHub repository LearningCircuit/local-deep-research (9,506 stars, last pushed yesterday), licensed MIT. It adds 5 tokens to every session, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to deepseek-harness CLAUDE.md, differing in 3 lines, and is treated as a copy.

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