📦

air-quality

Name: air-quality
Author: tahodev

Ревизия содержимого r1 Безопасно 🌐 Доступ к сети📁 Доступ к файловой системе⚙️ Внешние команды

Check Air Quality Across Japan

Japanese air quality measurements are spread across station snapshots, histories, and advisory feeds. This skill retrieves public AEROS data and reports provisional readings with station names and measurement times.

Поддерживает: Claude Codex Code(CC)

🥉 77 Бронза

Maintain this Skill? Claim it 🥉 77 Бронза

Установить с помощью моего Агента

Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.

Запрос агента

Review the Skillstore skill "air-quality" from https://skillstore.io/skills/tahodev-air-quality.md and its manifest at https://skillstore.io/api/skills/tahodev-air-quality/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.

Ресурсы для AI-агентов

Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.

Markdown-детали GET /skills/tahodev-air-quality.md Подписанный manifest GET /api/skills/tahodev-air-quality/manifest Подписанный lockfile GET /api/skills/tahodev-air-quality/lockfile

Протестировать

Использование «air-quality». Show the documented Amagasaki PM2.5 example from September 26, 2026.

Ожидаемый результат:

Documented sample, not a current lookup: September 26, 2026, 01:00 JST.
National Amagasaki Motor Vehicle Traffic Environmental Monitoring Station: PM2.5 was 28 micrograms per cubic meter.
Station type: roadside vehicle-emission monitoring. This reading is provisional.
Source: AEROS nationwide hourly CSV described in the skill documentation.

Использование «air-quality». Summarize the documented daily sample for station 13101010.

Ожидаемый результат:

Documented sample, not a current lookup: September 26, 2026, 01:00 JST, station 13101010.
PM2.5: 7 micrograms per cubic meter. Temperature: 24 degrees Celsius. Humidity: 73 percent.
Source: the AEROS station daily CSV example. Values are provisional, not finalized statistics.

Аудит безопасности

Безопасно

v1 • 13.10.2026 Открыть версионный отчет

All 70 static findings are false positives after reviewing their source context. Network requests retrieve public AEROS data, and filesystem operations maintain a dedicated CSV cache. No evidence found of credential access, data exfiltration, executable obfuscation, or prompt injection.

Просканировано файлов

223

Проанализировано строк

Пункты проверки

Ложные срабатывания проигнорированы

Факторы риска

🌐 Доступ к сети (17)

lookup.py:17 lookup.py:23 lookup.py:32 lookup.py:12 lookup.py:18 lookup.py:19 lookup.py:14 SKILL.md:20 SKILL.md:21 SKILL.md:22 SKILL.md:23 SKILL.md:24 SKILL.md:25 SKILL.md:30 SKILL.md:54 SKILL.md:64 SKILL.md:76

📁 Доступ к файловой системе (7)

lookup.py:9 lookup.py:15 lookup.py:9 lookup.py:15 lookup.py:35 lookup.py:28 SKILL.md:83

⚙️ Внешние команды (31)

Последний завершенный статический и семантический аудит не обнаружил подтвержденных проблем безопасности. Это не доказывает отсутствие побочных эффектов у навыка.

Аудитор:: codex

Поделиться и цитировать этот отчет

Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.

Открыть версионный отчет

Копировать ссылку на отчёт

https://skillstore.io/skills/tahodev-air-quality/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Значок Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/tahodev-air-quality/security.svg)](https://skillstore.io/skills/tahodev-air-quality?utm_source=security_passport_badge)

Значок HTML

<a href="https://skillstore.io/skills/tahodev-air-quality?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/tahodev-air-quality/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Встраиваемая карточка

<iframe src="https://skillstore.io/embed/skills/tahodev-air-quality.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Академические ссылки (APA · BibTeX · CFF)

Цитата APA

tahodev. (2026). air-quality security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/tahodev-air-quality/audits/1

Цитата BibTeX

@techreport{tahodev-tahodev-air-quality-2026,
  author = {tahodev},
  title = {air-quality security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/tahodev-air-quality/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: "air-quality security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "tahodev"
date-released: "2026-10-13"
url: "https://skillstore.io/skills/tahodev-air-quality/audits/1"
identifiers:
  - type: other
    value: "skillstore:tahodev-air-quality:audit:1"
    description: "Skillstore immutable audit report identifier"

Оценка Skillstore

Почему такая оценка Достоверность доказательств: Средний

Архитектура

Сопровождаемость

Контент

Сообщество

Соответствие спецификации

Что вы можете построить

Review Local Station Readings

Find recent PM2.5 readings for a municipality and distinguish roadside stations from general ambient monitoring stations.

Compare Provisional Station Histories

Retrieve daily, seven-day, or monthly station records for a defined region while preserving missing readings and reporting delays.

Prepare a Sourced Air Quality Update

Summarize station measurements and published PM2.5 advisories with timestamps, source references, and clear provisional-data labels.

Попробуйте эти промпты

Check a Municipality

Show the latest PM2.5 readings for [municipality]. Include station names, station types, and measurement times in JST.

Rank Prefecture Stations

List the five highest measured [pollutant] readings in prefecture [code]. Label provisional values and identify missing readings separately.

Summarize a Station History

Retrieve the last seven days for station [code]. Summarize PM2.5 changes, report missing hours, and preserve measurement timestamps.

Review Monthly Data and Advisories

Retrieve monthly PM2.5 records for [prefecture code] and [month]. Summarize station coverage, missing data, reporting delays, and current official PM2.5 advisories.

Лучшие практики

Include the station name, station type, measurement time in JST, and provisional-data label with every reported reading.
Use published metadata for the latest hourly URL and verify the CSV header before interpreting a successful HTTP response.
Keep missing readings explicit and narrow historical requests by station, measurement, and period.

Избегать

Treating hourly provisional readings as finalized statistics or personal medical guidance.
Replacing missing readings with guessed values or presenting delayed station records as current.
Downloading an entire monthly prefecture dataset when a latest-hour snapshot or daily station CSV meets the request.