Borrowing it
Nothing to install: this file belongs to rossshannon/weekly-weather-mcp. 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/rossshannon/weekly-weather-mcp/master/CLAUDE.mdgit clone --depth 1 https://github.com/rossshannon/weekly-weather-mcpWrote 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/rossshannon/weekly-weather-mcp/claude-md)<a href="https://agentmods.dev/instructions/rossshannon/weekly-weather-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/rossshannon/weekly-weather-mcp/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/rossshannon/weekly-weather-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/rossshannon/weekly-weather-mcp/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 | $0.00283 | $0.00283 |
| Opus 5.5 | $0.00113 | $0.00113 |
| Sonnet 5.5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
weekly-weather-mcp 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
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Commands
- Run server:
python3 weather_mcp_server.py - Install dependencies:
pip3 install mcp-server requests pydantic - Format code:
black --skip-string-normalization weather_mcp_server.py - Typecheck:
mypy weather_mcp_server.py --strict - Run test client:
python3 test_mcp_client.py
Style Guidelines
- Python Version: 3.6+
- Code Style: PEP 8 compliant
- Imports: Group standard library, third-party, and local imports with newlines between groups
- Type Hints: Use type annotations for all function parameters and return values
- Error Handling: Use try/except blocks with specific exception types
- Docstrings: Use triple-quoted docstrings for all functions and classes
- Naming: Use snake_case for variables and functions, PascalCase for classes
- API Key Handling: Never hardcode API keys; use environment variables or parameters
Architecture Notes
- Single-file MCP server based on FastMCP for OpenWeatherMap API
- Pydantic models for data validation and serialization
- Functions handle API requests with proper error handling
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 · 26 lines · 283 tokens per session scan A cb67399d23f9
weekly-weather-mcp CLAUDE.md is an instructions file published in the GitHub repository rossshannon/weekly-weather-mcp (10 stars, last pushed 9mo ago), licensed MIT. It adds 283 tokens to every session, about $0.0011 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.
weekly-weather-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| weekly-weather-mcp CLAUDE.mdrossshannon/weekly-weather-mcp | Instructions file | 10 | 9mo ago | MIT | A | 283 | 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 |