What is OpenBiliClaw CLAUDE.md?

A project guide for OpenBiliClaw, an early-stage AI assistant that recommends Bilibili videos based on a user’s viewing behavior. It covers the Python backend and browser extension, including their development commands.

Use it when modifying recommendation logic, the user profile system, the Python service, or the browser extension, and when running the project’s checks.

It gives agents the project’s architecture and the exact commands for testing, formatting, linting, type checking, and building. This helps coordinate changes across the backend and extension.

How whiteguo233/OpenBiliClaw configures Claude Code

About the project

OpenBiliClaw is a local, open-source AI agent that learns a person's interests and discovers content across multiple social platforms and the open web. It is for people who want personalized content recommendations with their usage data kept on their own machine.

whiteguo233/OpenBiliClaw · 3,223 stars · on GitHub · whiteguo233.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to whiteguo233/OpenBiliClaw. 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/whiteguo233/OpenBiliClaw/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/whiteguo233/OpenBiliClaw

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/whiteguo233/openbiliclaw/claude-md/github.svg)](https://agentmods.dev/instructions/whiteguo233/openbiliclaw/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/whiteguo233/openbiliclaw/claude-md"><img src="https://agentmods.dev/badge/instructions/whiteguo233/openbiliclaw/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/whiteguo233/openbiliclaw/claude-md"><img src="https://agentmods.dev/badge/instructions/whiteguo233/openbiliclaw/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 3,517 This file is loaded in full into every session.

When invoked 3,517 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.

Model	Per session	Once invoked
Fable 5.1	$0.03517	$0.03517
Opus 5	$0.01758	$0.01758
Sonnet 5	$0.00703	$0.00703
Haiku 4.5	$0.00352	$0.00352

Measured 9d ago against content hash fcd48a04c4e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

OpenBiliClaw 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 · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 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.

Project Overview

OpenBiliClaw is an AI Agent for personalized Bilibili content recommendation. It builds a deep psychological profile ("Soul") of users through behavioral analysis, then proactively discovers and recommends content with warm, friend-like explanations. The project is bilingual (Chinese primary, English supported) and in pre-alpha (v0.1-dev).

Build & Development Commands

Python Backend

pip install -e ".[dev]"          # Install with dev dependencies
pytest                           # Run all tests
pytest tests/test_foo.py         # Run single test file
pytest tests/test_foo.py::test_bar  # Run single test
pytest --cov=openbiliclaw        # Tests with coverage
ruff format src/ tests/          # Format code
ruff check src/ tests/           # Lint
mypy src/                        # Type check (strict mode)

Browser Extension (extension/)

cd extension
npm run build                    # Full build (clean + types + bundle)
npm run typecheck                # Type check only
npm run test                     # Run tests (node --test)

CLI

openbiliclaw start               # Start daemon
openbiliclaw init                # First-time setup (fetch history + generate profile)
openbiliclaw recommend           # Show recommendations
openbiliclaw profile             # View user portrait
openbiliclaw config-show         # Show current config
openbiliclaw serve-api           # Start FastAPI server (used by Docker)

Docker

docker compose up -d --build     # Start backend (port 8420)
# Health check: http://127.0.0.1:8420/api/health

Architecture

The system follows a pipeline: Behavioral Data -> Soul Engine -> Discovery -> Recommendation.

Core Pipeline

Soul Engine (soul/) - Transforms raw behavioral events into deep user understanding through 5 layers: Event -> Preference -> Awareness -> Insight -> Soul. Each layer feeds bidirectionally into the next. The SoulEngine orchestrates analyzers (preference_analyzer.py, insight_analyzer.py, awareness_analyzer.py) and outputs a SoulProfile.

Read the full file on GitHub · 247 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.

9d ago First seen · 247 lines · 3,517 tokens per session scan A fcd48a04c4e2

Subscribe to this mod's changes

OpenBiliClaw CLAUDE.md is an instructions file published in the GitHub repository whiteguo233/OpenBiliClaw (3,223 stars, last pushed yesterday), licensed MIT. It adds 3,517 tokens to every session, about $0.0176 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 2026-08-30.

LLM ai-agent bilibili content-discovery privacy-first recommendation-system

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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

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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).

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OpenBiliClaw: Instructions file for Claude Code