SeekMoney-ai: Instructions file for Claude Code

CLAUDE.md

SeekMoney-ai CLAUDE.md is an instructions file for Claude Code from zykooooooooo/SeekMoney-ai. It costs 2,178 tokens per session, scanned A, original, MIT.

A project instruction file for SeekMoney, a full-stack application that finds user pain points in Chinese social-media posts. It describes the product, development commands, clustering tests, and supported platforms and languages.

In plain words
What is it for?
Use it when developing SeekMoney's web app, content crawlers, AI clustering and analysis, opportunity scoring, internationalization, or tests.
Why use it?
It gives a coding agent the repository's purpose, architecture, and expected commands, reducing the chance of making changes that conflict with the project.

Instructions file for Claude Code

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

This is zykooooooooo/SeekMoney-ai's own configuration. It tells Claude Code how to work on SeekMoney-ai 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 SeekMoney-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to zykooooooooo/SeekMoney-ai. 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/zykooooooooo/SeekMoney-ai/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/zykooooooooo/SeekMoney-ai

Made for: Claude Code.

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Per session 2,178 This file is loaded in full into every session.
When invoked 2,178 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 $0.02178 $0.02178
Opus 5 $0.01089 $0.01089
Sonnet 5 $0.00436 $0.00436
Haiku 4.5 $0.00218 $0.00218

Measured 9d ago against content hash 31e0d94f5f75, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

SeekMoney-ai 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 · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 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

SeekMoney (找商机:用户痛点发现器) is a full-stack web application that helps indie developers and product managers automatically discover user pain points from Chinese social media platforms using AI-powered semantic clustering and deep analysis.

Core Functionality:

  • Crawls user-generated content from multiple platforms (Douyin, Xiaohongshu, TikTok, Bilibili, WeChat, YouTube)
  • Performs semantic clustering using GLM embedding-3 + DBSCAN algorithm (Python) or TypeScript clustering
  • Generates deep pain point analysis using GLM-4.6 thinking model
  • Scores business opportunity priority based on demand, market size, and competition
  • Supports Chinese/English with full internationalization

Development Commands

# Development
npm run dev              # Start dev server with Turbopack

# Production
npm run build            # Build for production
npm run start            # Start production server

# Code Quality
npm run lint             # Run ESLint

# Tests
npm test                 # Run clustering tests
npm run test:quick       # Run quick clustering tests

# Python Dependencies
pip install -r requirements.txt

Required Environment Variables

Create .env.local with:

# Required: TikHub API (data collection)
TIKHUB_API_TOKEN=your_tikhub_api_token_here
TIKHUB_USE_CHINA_DOMAIN=false
TIKHUB_ENABLE_CACHE=true

# Required: Zhipu AI GLM API (LLM analysis)
GLM_API_KEY=your_glm_api_key_here
GLM_MODEL_NAME=glm-4.6
GLM_EMBEDDING_MODEL=embedding-3

# Optional: Embedding Provider Selection
EMBEDDING_PROVIDER=zhipuai  # Options: 'zhipuai' | 'openai' | 'auto'

# Optional: OpenAI Embedding Configuration
# OPENAI_API_KEY=sk-your_openai_api_key_here
# OPENAI_EMBEDDING_MODEL=text-embedding-3-small

Get API keys from:

Embedding Provider Options

Read the full file on GitHub · 229 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 · 229 lines · 2,178 tokens per session scan A 31e0d94f5f75

Subscribe to this mod's changes

SeekMoney-ai CLAUDE.md is an instructions file published in the GitHub repository zykooooooooo/SeekMoney-ai (5 stars, last pushed today), licensed MIT. It adds 2,178 tokens to every session, about $0.0109 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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