Borrowing it
Nothing to install: this file belongs to thornjad/stormscope. 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/thornjad/stormscope/main/AGENTS.mdgit clone --depth 1 https://github.com/thornjad/stormscopeWrote 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/thornjad/stormscope/agents-md)<a href="https://agentmods.dev/instructions/thornjad/stormscope/agents-md"><img src="https://agentmods.dev/badge/instructions/thornjad/stormscope/agents-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/thornjad/stormscope/agents-md"><img src="https://agentmods.dev/badge/instructions/thornjad/stormscope/agents-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 | $0.01278 | $0.01278 |
| Opus 5.5 | $0.00511 | $0.00511 |
| Sonnet 5.5 | $0.00256 | $0.00256 |
| Haiku 4.5 | $0.00128 | $0.00128 |
Grade A, and why
stormscope AGENTS.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 1mo 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 — 52 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.
What This Is
StormScope is a real-time US weather data MCP server. It aggregates data from NWS (National Weather Service), NOAA SPC (Storm Prediction Center), Iowa Environmental Mesonet (NEXRAD radar, radiosonde soundings), Open-Meteo (500mb upper-air and sounding model data), and optionally WeatherFlow Tempest personal weather stations into 10 tools consumed by AI assistants via the FastMCP framework.
Commands
uv sync --group dev # install all dependencies including dev
uv run python -m pytest # run all tests
uv run python -m pytest tests/test_nws.py # run a single test file
uv run python -m pytest tests/test_nws.py -k "test_name" # run a single test
There is no separate build or lint step. The project uses hatchling as build backend but day-to-day development is just edit-and-test. Requires Python >=3.11.
Architecture
All code lives in src/stormscope/. The server exposes 10 async MCP tools defined in server.py, with implementations in tools.py that aggregate results from eight data-source clients:
nws.py— NWS API client (conditions, forecasts, alerts, gridpoint data). Has per-endpoint TTL caching and retry logic.spc.py— SPC outlook client. Parses GeoJSON for categorical and probabilistic severe weather risk (tornado/wind/hail), days 1-3.codsus.py— WPC Coded Surface Frontal Positions (CODSUS/ASUS02) parser and client. Fetches the hand-analyzed surface bulletin from IEM every 3 hours, parses 7-digit encoded coordinates into structured front segments and pressure centers. Used byget_surface_analysisfor current conditions.wpc.py— WPC national forecast chart client. Parses GeoJSON for frontal positions and pressure centers from the prognostic chart, days 1-3. Used byget_surface_analysiswithproduct="forecast".iem.py— Iowa Mesonet client for NEXRAD radar station metadata and imagery URLs.openmeteo.py— Open-Meteo client for 500mb pressure-level data (heights, temperature, wind). Fetches a 5-point cross pattern for vorticity computation. Also builds model soundings (16 pressure levels plus 2m/10m surface values, below-ground levels dropped) forget_soundingwithsource="model".raob.py— IEM RAOB client. Lists active radiosonde sites (retired sites and_XXXarea aggregates filtered out), finds the nearest ones, and fetches the latest 00Z/12Z sounding, falling back to the previous cycle and then the next-nearest site. Used byget_soundingwithsource="observed", which reports distance and bearing to the launch site.tempest.py— WeatherFlow Tempest personal weather station client. Resolves stations by ID, name, or proximity and enriches NWS conditions with hyper-local sensor readings (solar radiation, UV index, lightning, air density, wet bulb temperature). Falls back silently to NWS when unavailable.
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.
- 1mo ago First seen · 52 lines · 1,278 tokens per session scan A 68fe3472ae2c
stormscope AGENTS.md is an instructions file published in the GitHub repository thornjad/stormscope (4 stars, last pushed 1mo ago), licensed ISC. It adds 1,278 tokens to every session, about $0.0051 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 2026-09-21.
stormscope AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stormscope AGENTS.mdthornjad/stormscope | Instructions file | 4 | 1mo ago | ISC | A | 1,278 | Codex, OpenCode |
| 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 |