Skills air-quality

📦

air-quality

Name: air-quality
Author: tahodev

Content revision r1 Safe 🌐 Network access📁 Filesystem access⚙️ External commands

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.

Supports: Claude Codex Code(CC)

🥉 77 Bronze

Maintain this Skill? Claim it 🥉 77 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

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.

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.

Markdown detail GET /skills/tahodev-air-quality.md Signed manifest GET /api/skills/tahodev-air-quality/manifest Signed lockfile GET /api/skills/tahodev-air-quality/lockfile

Test it

Using "air-quality". Show the documented Amagasaki PM2.5 example from September 26, 2026.

Expected outcome:

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.

Using "air-quality". Summarize the documented daily sample for station 13101010.

Expected outcome:

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.

Security Audit

Safe

v1 • 10/13/2026 Open versioned report

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.

Files scanned

223

Lines analyzed

Review items

False positives ignored

Risk Factors

🌐 Network access (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

📁 Filesystem access (7)

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

⚙️ External commands (31)

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex

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Academic citations (APA · BibTeX · CFF)

APA citation

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

BibTeX citation

@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

Why this score Evidence Confidence: Medium

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

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.

Try These Prompts

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.

Best Practices

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.

Avoid

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.