Borrowing it
Nothing to install: this file belongs to asgard-ai-platform/mcp-twfood. 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/asgard-ai-platform/mcp-twfood/main/CLAUDE.mdgit clone --depth 1 https://github.com/asgard-ai-platform/mcp-twfoodWrote 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/asgard-ai-platform/mcp-twfood/claude-md)<a href="https://agentmods.dev/instructions/asgard-ai-platform/mcp-twfood/claude-md"><img src="https://agentmods.dev/badge/instructions/asgard-ai-platform/mcp-twfood/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/asgard-ai-platform/mcp-twfood/claude-md"><img src="https://agentmods.dev/badge/instructions/asgard-ai-platform/mcp-twfood/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 | $0.00482 | $0.00482 |
| Opus 5.5 | $0.00193 | $0.00193 |
| Sonnet 5.5 | $0.00096 | $0.00096 |
| Haiku 4.5 | $0.00048 | $0.00048 |
Grade A, and why
mcp-twfood 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.
What it actually says
MCP TWFood
Overview
MCP server for twfood.cc — Taiwan agricultural wholesale market price data. 6 AI-callable tools over stdio JSON-RPC 2.0. Public API, no authentication required.
Setup
uv venv && source .venv/bin/activate
uv pip install -e .
Run
python mcp_server.py
Test
# Test connection
python scripts/auth/test_connection.py
# Run all tool tests
python tests/test_all_tools.py
Architecture
stdio (JSON-RPC 2.0)
→ mcp_server.py (entry point, side-effect import triggers tool registration)
→ app.py (FastMCP singleton)
→ tools/twfood_tools.py (@mcp.tool() — 6 tools)
→ connectors/rest_client.py (HTTP GET with retry)
→ auth/none.py (no auth — public API)
→ config/settings.py (twfood.cc endpoints, URL builder)
Key Patterns
- Singleton:
app.pycreates theFastMCPinstance, imported everywhere - Decorator registration:
@mcp.tool()with PydanticField()for typed parameters - Side-effect imports:
mcp_server.pyimports tool module to trigger registration - LoopBack filters: Trade APIs use JSON-encoded
filterquery parameter - No auth: Public API —
auth/none.pyreturns empty headers
Tools
search_products— Search products by name or item codeget_daily_trades— Daily trade data (volume, avg/high/low price)get_weekly_trades— Weekly trade summariesget_monthly_trades— Monthly trade summariesget_yearly_trades— Yearly trade summaries (back to 1996)get_market_history— Cross-market volume & price comparison
Code Conventions
- English for all code, docstrings, and tool descriptions
- Use connector helpers — don't call
requestsdirectly in tools - All tools return
dict - Use
Pydantic Field()for parameter descriptions and defaults
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 · 58 lines · 482 tokens per session scan A 1cdec334b51f
mcp-twfood CLAUDE.md is an instructions file published in the GitHub repository asgard-ai-platform/mcp-twfood (0 stars, last pushed 7mo ago), licensed MIT. It adds 482 tokens to every session, about $0.0019 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 2026-08-31.
mcp-twfood CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-twfood CLAUDE.mdasgard-ai-platform/mcp-twfood | Instructions file | 0 | 7mo ago | MIT | A | 482 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |