📦

air-quality

Name: air-quality
Author: tahodev

Inhaltsrevision r1 Sicher 🌐 Netzwerkzugriff📁 Dateisystemzugriff⚙️ Externe Befehle

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.

Unterstützt: Claude Codex Code(CC)

🥉 77 Bronze

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Mit meinem Agent installieren

Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.

Agent-Anfrage

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.

Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.

Agent-lesbare Ressourcen

Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.

Markdown-Detailseite GET /skills/tahodev-air-quality.md Signiertes manifest GET /api/skills/tahodev-air-quality/manifest Signiertes lockfile GET /api/skills/tahodev-air-quality/lockfile

Testen

„air-quality“ wird verwendet. Show the documented Amagasaki PM2.5 example from September 26, 2026.

Erwartetes Ergebnis:

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.

„air-quality“ wird verwendet. Summarize the documented daily sample for station 13101010.

Erwartetes Ergebnis:

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.

Sicherheitsaudit

Sicher

v1 • 13.10.2026 Versionsbericht öffnen

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.

Gescannte Dateien

223

Analysierte Zeilen

Prüfelemente

Falschmeldungen ignoriert

Risikofaktoren

🌐 Netzwerkzugriff (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

📁 Dateisystemzugriff (7)

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

⚙️ Externe Befehle (31)

Das letzte abgeschlossene statische und semantische Audit erkannte keine bestätigten Sicherheitsbefunde. Dies beweist nicht, dass der Skill keine Nebenwirkungen hat.

Geprüft von: codex

Diesen Bericht teilen & zitieren

Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.

Versionsbericht öffnen

Berichtslink kopieren

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

Markdown-Badge

[![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)

HTML-Badge

<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>

Einbettungskarte

<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>

Wissenschaftliche Zitate (APA · BibTeX · CFF)

APA-Zitat

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

BibTeX-Zitat

@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"

Skillstore-Score

Warum dieser Score Evidenzvertrauen: Mittel

Architektur

Wartbarkeit

Inhalt

Gemeinschaft

Spezifikationskonformität

Was Sie erstellen können

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.

Diese Prompts ausprobieren

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.

Bewährte Praktiken

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.

Vermeiden

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.