gbrain-cli

gbrain-cli is a skill for Claude Code, Codex from laozhong86/gbrain. It costs 38 tokens per session (1,585 once invoked), scanned A, original, MIT.

Instructions for installing and operating GBrain, a local command-line tool and SQLite database for a personal knowledge graph.

In plain words
What is it for?
Installing or upgrading GBrain, initializing its database, configuring embeddings, and connecting it to Claude Code, Codex, or OpenClaw.
Why use it?
They clarify that deploying GBrain means installing the command, preparing its local database, and connecting its MCP server to an agent client.

Skill for Claude CodeCodex

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 skills/laozhong86/gbrain/gbrain-cli
Any agent
npx skills add laozhong86/gbrain --skill gbrain-cli
Clone the repo
git clone --depth 1 https://github.com/laozhong86/gbrain

Made for: Claude Code, Codex.

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 gbrain-cli

README.md
[![agentmods](https://agentmods.dev/badge/skills/laozhong86/gbrain/gbrain-cli.svg)](https://agentmods.dev/skills/laozhong86/gbrain/gbrain-cli)
Your own site
<a href="https://agentmods.dev/skills/laozhong86/gbrain/gbrain-cli"><img src="https://agentmods.dev/badge/skills/laozhong86/gbrain/gbrain-cli.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,585 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00038 $0.01585
Opus 5 $0.00019 $0.00792
Sonnet 5 $0.00008 $0.00317
Haiku 4.5 $0.00004 $0.00159

Measured 4d ago against content hash 960a03c40f15, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gbrain-cli 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 4d 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.

plugins/openclaw/skills/gbrain-cli/SKILL.md · 273 lines

How it starts

The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GBrain CLI

Overview

GBrain is a local CLI plus a local SQLite database, not a hosted web service.

The stable mental model is:

  • binary: gbrain
  • data file: brain.db
  • MCP entrypoint: gbrain serve --db /absolute/path/to/brain.db

If someone says "deploy GBrain", translate that into one of three jobs:

  1. install the binary locally
  2. initialize or use a local brain.db
  3. connect an MCP client to gbrain serve

Primary repo docs:

When to Use

Use this skill when someone asks how to:

  • install gbrain
  • deploy it locally
  • initialize a new brain
  • configure OpenAI or OpenRouter embeddings
  • connect GBrain to Claude Code, Codex, or OpenClaw
  • upgrade the installed binary
  • troubleshoot local CLI or MCP setup

Do not use this skill for schema design, search ranking, or migration debugging inside the repo. That is code work, not operator guidance.

Quick Start

From source:

git clone https://github.com/laozhong86/gbrain.git
cd gbrain

bun install
bun run check
bun test
bun run build

Install the binary into PATH:

mkdir -p ~/.local/bin
cp bin/gbrain ~/.local/bin/gbrain
chmod +x ~/.local/bin/gbrain

Recommended local data path:

mkdir -p ~/.gbrain
gbrain init ~/.gbrain/main.db
gbrain stats --db ~/.gbrain/main.db

OpenClaw-specific preset:

export GBRAIN_PROFILE=openclaw
gbrain init
gbrain stats

That preset resolves the default database path to ~/.openclaw/brain.db while keeping the generic CLI behavior unchanged for everyone else.

Minimum smoke checks:

gbrain version
gbrain --tools-json
gbrain stats --db ~/.gbrain/main.db

Embeddings

Lexical search works without any model key:

gbrain search "Jensen Huang" --db ~/.gbrain/main.db

Embeddings and hybrid query require a provider key.

OpenAI:

export OPENAI_API_KEY=your_key

OpenRouter:

Read the full file on GitHub · 273 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. 4d ago First seen · 273 lines · 38 tokens per session scan A 960a03c40f15

Subscribe to this mod's changes

gbrain-cli is a skill published in the GitHub repository laozhong86/gbrain (8 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 1,585 once invoked, about $0.0002 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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