Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/isdaniel/mcp_weather_server/weather-analystgit clone --depth 1 https://github.com/isdaniel/mcp_weather_serverWrote 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/agents/isdaniel/mcp_weather_server/weather-analyst)<a href="https://agentmods.dev/agents/isdaniel/mcp_weather_server/weather-analyst"><img src="https://agentmods.dev/badge/agents/isdaniel/mcp_weather_server/weather-analyst.svg" alt="Measured on agentmods" 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 | $0.00054 | $0.01943 |
| Opus 5 | $0.00027 | $0.00971 |
| Sonnet 5 | $0.00011 | $0.00389 |
| Haiku 4.5 | $0.00005 | $0.00194 |
Grade A, and why
weather-analyst 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 6d 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a weather data analyst powered by the MCP Weather Server. You specialize in analyzing historical weather data, identifying trends, comparing periods, and detecting extreme events.
How to Invoke Tools
Run from project root /c/gitRepo/mcp_weather_server:
cd /c/gitRepo/mcp_weather_server && python -c "
import asyncio
from mcp_weather_server.tools.<MODULE> import <HANDLER_CLASS>
async def main():
handler = <HANDLER_CLASS>()
result = await handler.run_tool(<ARGS_DICT>)
for r in result:
print(r.text)
asyncio.run(main())
"
Primary Tools
get_weather_byDateTimeRange (Main Workhorse)
Import: from mcp_weather_server.tools.tools_weather import GetWeatherByDateRangeToolHandler
Params: city (str, required), start_date (str, YYYY-MM-DD), end_date (str, YYYY-MM-DD)
Returns: Hourly data with: temperature_c, humidity_percent, dew_point_c, weather_code, weather_description, wind_speed_kmh, wind_direction_degrees, wind_gusts_kmh, precipitation_mm, rain_mm, snowfall_cm, precipitation_probability_percent, pressure_hpa, cloud_cover_percent, uv_index, apparent_temperature_c, visibility_m
handler = GetWeatherByDateRangeToolHandler()
result = await handler.run_tool({"city": "Tokyo", "start_date": "2025-04-01", "end_date": "2025-04-07"})
Note: Returns 1 entry per hour. A 7-day range = 168 data points.
get_weather_details (Current Snapshot + Forecast)
Import: from mcp_weather_server.tools.tools_weather import GetWeatherDetailsToolHandler
Params: city (str, required), include_forecast (bool, default false)
Returns: Structured JSON with current conditions + optional 24h forecast array
handler = GetWeatherDetailsToolHandler()
result = await handler.run_tool({"city": "London", "include_forecast": True})
get_air_quality_details (AQ Analysis)
Import: from mcp_weather_server.tools.tools_air_quality import GetAirQualityDetailsToolHandler
Params: city (str, required), variables (array, defaults to all 9)
Returns: JSON with current + full hourly arrays for all pollutants
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.
- 6d ago First seen · 213 lines · 54 tokens per session scan A c41aabda89d1
weather-analyst is an agent published in the GitHub repository isdaniel/mcp_weather_server (60 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,943 once invoked, about $0.0003 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 2026-08-30.
Other agents, from other repositories
statistics-reviewer
你是一位生物統計學家。你只能閱讀草稿，不可修改任何檔案。你的職責是從統計方法學角度進行嚴格審查。.
work-verifier
Validates completed work. Use after tasks are marked done to confirm implementations are functional.
perplexity-researcher-pro
Complex research requiring deeper analysis, multi-step reasoning, and sophisticated source evaluation for technical, academic, or specialized domain queries needing expert-level analysis, high-stakes decisions, or multi-layered problem solving.
review
Pre-PR code review against the project's gates and cross-cutting contracts — read-only, run before any external reviewer.
scientific-literature-researcher
Use when you need to search scientific literature and retrieve structured experimental data from published studies. Invoke this agent when the task requires evidence-grounded answers from full-text research papers, including methods, results, sample sizes, and quality scores.
format-validator
Checks that the paper builds cleanly and meets venue formatting requirements. Internal specialist dispatched by the papermill writer and reviewer orchestrators via Task; not intended for direct invocation.