amedas-weather
Check Current Weather Across Japan
Weather forecasts do not show what nearby stations have just measured. This skill guides assistants through public JMA observations with station names and timestamps.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "amedas-weather" from https://skillstore.io/skills/tahodev-amedas-weather.md and its manifest at https://skillstore.io/api/skills/tahodev-amedas-weather/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "amedas-weather". Show an example observation summary for Tokyo.
Expected outcome:
Historical example from the skill: Tokyo station 44132, September 20, 2026, 13:20 JST. Temperature: 22.8 C. Humidity: 92%. Past 24-hour rainfall: 15.0 mm.
Using "amedas-weather". What should you report if the selected station has no pressure measurement?
Expected outcome:
This station does not provide pressure observations. I can check a nearby station that measures pressure and identify its location and observation time.
Using "amedas-weather". What should you report if JMA data remains unavailable after retries?
Expected outcome:
AMeDAS observations could not be retrieved. Current conditions are unknown. Please check the official JMA disaster information page.
Security Audit
SafeAll 21 static findings are false positives in context: Markdown backticks, public JMA endpoints, a documentation link, and readable multilingual text. The documented commands retrieve weather data and process station coordinates locally; no evidence of credential access, exfiltration, destructive behavior, or prompt injection was found. This assessment covers the supplied SKILL.md, not the unavailable linked documentation.
Risk Factors
⚙️ External commands (15)
🌐 Network access (4)
📁 Filesystem access (1)
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https://skillstore.io/skills/tahodev-amedas-weather/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/tahodev-amedas-weather?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/tahodev-amedas-weather/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/tahodev-amedas-weather.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
tahodev. (2026). amedas-weather security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/tahodev-amedas-weather/audits/1BibTeX citation
@techreport{tahodev-tahodev-amedas-weather-2026,
author = {tahodev},
title = {amedas-weather security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/tahodev-amedas-weather/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "amedas-weather security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "tahodev"
date-released: "2026-10-13"
url: "https://skillstore.io/skills/tahodev-amedas-weather/audits/1"
identifiers:
- type: other
value: "skillstore:tahodev-amedas-weather:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: MediumWhat You Can Build
Check Nearby Conditions
Read recent temperature, humidity, wind, and rainfall measurements for a nearby Japanese station before a commute.
Summarize Local Measurements
Prepare a timestamped observation summary for a field team, with missing measurements clearly identified.
Inspect Public Weather Data
Explore station metadata, measurement availability, and quality flags when preparing a weather data analysis.
Try These Prompts
Show the latest available temperature and humidity for Tokyo. Include the station name and observation time in JST.
Check the latest wind and one-hour rainfall near Osaka. Identify the station, units, observation time, and any unavailable measurements.
Use coordinates 35.68, 139.77 to find an approximately nearest AMeDAS station. Report available weather measurements with the station name and JST timestamp.
Compare Tokyo and Yokohama observations at the latest shared timestamp. Include available temperature, humidity, wind, rainfall, quality flags, and station names.
Best Practices
- Use the retrieved latest timestamp, and include the station name and observation time in every summary.
- Check measurement availability and quality flags before interpreting values, especially for sensitive decisions.
- Run downloads in a dedicated working directory to avoid replacing existing amap.json or stations.json files.
Avoid
- Do not describe observations as forecasts or predictions of future conditions.
- Do not treat missing measurements or retrieval failures as zero values or clear weather.
- Do not present historical examples as current observations or omit rainfall accumulation periods.