Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
日本の天気予報を気象庁APIから取得。3日間予報、週間予報、天気概況を都道府県・地域別に表示。Japan weather forecast via JMA (Japan Meteorological Agency) API — 3-day forecast, weekly forecast, and weather overview by prefecture. --- name: jma-weather-forecast description: "日本の天気予報を気象庁APIから取得。3日間予報、週間予報、天気概況を都道府県・地域別に表示。Japan weather forecast via JMA (Japan Meteorological Agency) API — 3-day forecast, weekly forecast, and weather overview by prefecture." metadata: openclaw: requires: bins: - curl - jq emoji: "🌦️" --- JMA Weather Forecast (気象庁天気予報) 日本の天気予報を気象庁の公開JSONデータから取得するスキルです。APIキー不要で、全国47都道府県の天気情報にアクセスできます。 When to Use - ユーザーが日本の天気予報を知り Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
jma-weather-forecast is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
日本の天気予報を気象庁APIから取得。3日間予報、週間予報、天気概況を都道府県・地域別に表示。Japan weather forecast via JMA (Japan Meteorological Agency) API — 3-day forecast, weekly forecast, and weather overview by prefecture. --- name: jma-weather-forecast description: "日本の天気予報を気象庁APIから取得。3日間予報、週間予報、天気概況を都道府県・地域別に表示。Japan weather forecast via JMA (Japan Meteorological Agency) API — 3-day forecast, weekly forecast, and weather overview by prefecture." metadata: openclaw: requires: bins: - curl - jq emoji: "🌦️" --- JMA Weather Forecast (気象庁天気予報) 日本の天気予報を気象庁の公開JSONデータから取得するスキルです。APIキー不要で、全国47都道府県の天気情報にアクセスできます。 When to Use - ユーザーが日本の天気予報を知り
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Stella Entry
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Setup snapshot
git clone https://github.com/stella-entry/jma-weather-forecast.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Stella Entry
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
3
Snippets
0
Languages
typescript
Parameters
bash
bash scripts/fetch_forecast.sh {AREA_CODE} forecast | bash scripts/parse_forecast.shbash
bash scripts/fetch_forecast.sh {AREA_CODE} overview | bash scripts/parse_forecast.shbash
bash scripts/fetch_forecast.sh {AREA_CODE} week | bash scripts/parse_forecast.shFull documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
日本の天気予報を気象庁APIから取得。3日間予報、週間予報、天気概況を都道府県・地域別に表示。Japan weather forecast via JMA (Japan Meteorological Agency) API — 3-day forecast, weekly forecast, and weather overview by prefecture. --- name: jma-weather-forecast description: "日本の天気予報を気象庁APIから取得。3日間予報、週間予報、天気概況を都道府県・地域別に表示。Japan weather forecast via JMA (Japan Meteorological Agency) API — 3-day forecast, weekly forecast, and weather overview by prefecture." metadata: openclaw: requires: bins: - curl - jq emoji: "🌦️" --- JMA Weather Forecast (気象庁天気予報) 日本の天気予報を気象庁の公開JSONデータから取得するスキルです。APIキー不要で、全国47都道府県の天気情報にアクセスできます。 When to Use - ユーザーが日本の天気予報を知り
日本の天気予報を気象庁の公開JSONデータから取得するスキルです。APIキー不要で、全国47都道府県の天気情報にアクセスできます。
ユーザーが指定した都道府県名から area_codes.json を参照してエリアコードを特定する。
130000)140000)目的に応じて以下のモードを選ぶ:
3日間予報 + 週間予報(デフォルト):
bash scripts/fetch_forecast.sh {AREA_CODE} forecast | bash scripts/parse_forecast.sh
天気概況(テキスト形式の気象解説):
bash scripts/fetch_forecast.sh {AREA_CODE} overview | bash scripts/parse_forecast.sh
週間概況:
bash scripts/fetch_forecast.sh {AREA_CODE} week | bash scripts/parse_forecast.sh
取得したデータを以下の形式でユーザーに提示する:
100 = 晴れ, 101 = 晴時々曇, 102 = 晴一時雨200 = 曇り, 201 = 曇時々晴, 202 = 曇一時雨300 = 雨, 301 = 雨時々晴, 302 = 雨時々曇400 = 雪, 401 = 雪時々晴, 402 = 雪時々曇Example 1: 基本的な天気予報
User: 「東京の天気を教えて」
→ エリアコード 130000 で forecast モードを実行
Example 2: 天気概況
User: 「関東の天気概況は?」
→ エリアコード 130000(東京)で overview モードを実行。概況は広域の情報を含む。
Example 3: 週間予報
User: 「来週の大阪の天気は?」
→ エリアコード 270000 で forecast モードを実行し、週間予報セクションを提示
Example 4: English query
User: "Will it rain in Saitama tomorrow?"
→ Area code 110000, forecast mode, answer in English
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/snapshot"
curl -s "https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/contract"
curl -s "https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-16T23:45:41.171Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Stella Entry",
"href": "https://github.com/stella-entry/jma-weather-forecast",
"sourceUrl": "https://github.com/stella-entry/jma-weather-forecast",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T01:46:13.972Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T01:46:13.972Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/stella-entry-jma-weather-forecast/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to jma-weather-forecast and adjacent AI workflows.