Install
$ agentstack add skill-tiangong-ai-agent-skills-airnow-hourly-obs-fetch ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
AirNow Hourly Observations
Use the CLI-owned airnow.hourly-observations capability. This Skill supplies intent routing and result-use boundaries only; the CLI owns source discovery, input/output schemas, HTTP behavior, limits, validation, and receipts.
Before running
- Read
references/tiangong-data-requirement.json. - Use the caller- or workspace-resolved stable CLI. The requirement declares
compatible capability and operation contract majors; it does not select a package build.
- Run
data describewith that same CLI. Continue only when the capability
ID and required contract majors match, and copy the exact current capability/operation versions from that response into the run request.
tiangong-ai data describe airnow.hourly-observations --json
Use the returned Discovery Metadata to confirm current source coverage, freshness, restrictions, provides, and doesNotProvide. Do not substitute facts remembered from an older Skill revision.
Prepare the request
Build a tiangong.data.run-request.v1 envelope. Replace the two version placeholders with the exact versions from the same data describe response. The operation input requires hour-aligned UTC timestamps, a WGS84 bounding box, and one or more supported pollutant identifiers:
{
"schemaVersion": "tiangong.data.run-request.v1",
"capabilityId": "airnow.hourly-observations",
"capabilityVersion": "",
"operationId": "fetch-hourly",
"operationVersion": "",
"input": {
"startDateTimeUtc": "2026-03-22T00:00:00Z",
"endDateTimeUtc": "2026-03-22T06:00:00Z",
"boundingBox": {
"minLongitude": -123.5,
"minLatitude": 37.0,
"maxLongitude": -121.5,
"maxLatitude": 38.8
},
"parameters": ["PM25", "OZONE"]
}
}
Use the operation input schema returned by the same data describe response when selecting fields or values under input. Do not infer unsupported aliases or silently widen the requested time or geographic range.
Run
tiangong-ai data run airnow.hourly-observations fetch-hourly \
--input /absolute/path/to/request.json --json
The command emits a tiangong.data.run-result.v1 envelope. Preserve its contract, warnings, errors, and receipt with data when handing the result to another workflow.
Result boundaries
- Treat
partialas incomplete coverage and report missing or invalid hourly
files; never convert missing observations to zero.
- Treat
blockedas no usable business result and surface the structured
errors instead of retrying with broader inputs.
- Do not interpret AQI as health advice, estimate exposure, interpolate between
sites, combine other sources, or use preliminary AirNow records for regulatory compliance.
- Cross-source comparison and research evidence admission belong to the caller
or Auto Research, not this atomic Skill.
Reference
references/tiangong-data-requirement.json: stable capability requirement; it is not a package lock.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: tiangong-ai
- Source: tiangong-ai/agent-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.