Borrowing it
Nothing to install: this file belongs to clsung/tw-stock-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/clsung/tw-stock-agent/main/CLAUDE.mdgit clone --depth 1 https://github.com/clsung/tw-stock-agentWrote 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.
[](https://agentmods.dev/instructions/clsung/tw-stock-agent/claude-md)<a href="https://agentmods.dev/instructions/clsung/tw-stock-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/clsung/tw-stock-agent/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.
<a href="https://agentmods.dev/instructions/clsung/tw-stock-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/clsung/tw-stock-agent/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01586 | $0.01586 |
| Opus 5.5 | $0.00634 | $0.00634 |
| Sonnet 5.5 | $0.00317 | $0.00317 |
| Haiku 4.5 | $0.00159 | $0.00159 |
Grade A, and why
tw-stock-agent 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tw-stock-agent Development Guidelines
Project Overview
tw-stock-agent is a Taiwan stock market data MCP (Model Context Protocol) server providing comprehensive financial data analysis. The project consists of:
- MCP Server: FastMCP-based server with stock data tools
- Stock Services: Core business logic for data retrieval and analysis
- Data Scripts: Standalone Taiwan financial data collectors
- API Layer: FastAPI endpoints for tool execution
Core Development Rules
1. Package Management
- ONLY use uv, NEVER pip
- Installation:
uv add package - Development packages:
uv add --dev package - Running tools:
uv run tool - Sync dependencies:
uv sync - FORBIDDEN:
uv pip install,@latestsyntax
2. Code Quality Standards
- Type hints required for all functions and methods
- Docstrings mandatory for public APIs (Google style)
- Functions must be focused and small (single responsibility)
- Follow existing patterns exactly
- Line length: 88 characters maximum (configured in pyproject.toml)
- Use f-strings for string formatting
3. Testing Framework
- Primary:
uv run pytest - Async testing: pytest-asyncio (configured in pyproject.toml)
- Coverage:
uv run pytest --cov=tw_stock_agent - New features require comprehensive tests
- Bug fixes require regression tests
- Test both unit and integration scenarios
4. Code Style Guidelines
- Naming: PEP 8 conventions
- Functions/variables:
snake_case - Classes:
PascalCase - Constants:
UPPER_SNAKE_CASE
- Functions/variables:
- Import organization: Use ruff's isort integration
- Error handling: Comprehensive exception handling with logging
- Logging: Use structured logging with appropriate levels
5. Quality Tools
- Linting:
uv run ruff check(configured in pyproject.toml) - Formatting:
uv run ruff format - Type checking:
uv run mypy tw_stock_agent/ - Pre-commit: Configured with ruff, mypy, and standard hooks
Project Structure
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.
- 2mo ago First seen · 237 lines · 1,586 tokens per session scan A 5ed2c764d845
tw-stock-agent CLAUDE.md is an instructions file published in the GitHub repository clsung/tw-stock-agent (16 stars, last pushed 1y ago), licensed MIT. It adds 1,586 tokens to every session, about $0.0063 per session on Opus 5.5. 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.
Other instructions, from other repositories
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).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.