القائمة
Access FinHot curated financial news feeds — RSS, JSON API, and detail pages. Use this skill to query selected/filtered financial news, hot topics, and daily digests programmatically.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
可配置的巨潮公告分类订阅器：按分类+关键词+自选股抓取全市场披露，输出标准 Atom RSS，并把命中的官方公告作为 L3 候选(L1_L3_candidate)归档到知识库 wiki/raw/disclosures 供 review。触发：巨潮RSS、公告订阅、cninfo rss、补L3公告。
FinHot (finhot.industry7view.com) 中文金融资讯查询 Skill。当用户想知道"今天金融圈/财经有什么"、"财经日报"、"FinHot"、"金融热点"、"最近市场观点"、"雪球/微博大V最近说什么"、"财经精选"、"金融资讯"等任何中文财经资讯查询时使用。即使用户只说"今天市场有什么新闻"、"看下财经热点"，也应该触发本 Skill。Skill 直接 curl 公开静态快照 JSON 拉数据并整理成中文简报，不需要 API Key 或 MCP server。不要 undertrigger——用户问财经资讯而你不调本 Skill 就是把过时的训练数据当作今日新闻。
| name | finhot |
| description | Access FinHot curated financial news feeds — RSS, JSON API, and detail pages. Use this skill to query selected/filtered financial news, hot topics, and daily digests programmatically. |
FinHot is an AI-powered financial news aggregator that processes multi-source feeds (Weibo, Xueqiu, Twitter, WeChat) through local AI enrichment (summarization, translation, scoring, embedding clustering) and exposes curated results via public endpoints.
Sources (RSSHub/Playwright/nitter)
→ Local AI pipeline (summary, translation, 6-dim scoring, embedding)
→ .finhot-cache/ (manifest.json, entries/*.json, enrichments.json)
→ Public endpoints (HTML, RSS, JSON API)
All AI processing happens locally. Public endpoints only render pre-computed results.
/public — Full reader UI with 精选/全部/热点 views/items/<id> — Standalone permalink for sharing (includes 精选理由, AI摘要, 翻译, 评分明细, 相关报道)| Endpoint | Content | Use case |
|---|---|---|
/feed.xml | 精选 (qualityScore ≥ 70) | RSS reader, daily curated feed |
/feed/all.xml | All entries | Full firehose |
/feed/daily.xml | Today's digest | Daily briefing |
RSS item links point to FinHot detail permalinks (/items/<id>). The original article URL is kept as the RSS <source> URL and on the detail page.
The public site (https://finhot.industry7view.com) is a static Cloudflare Pages deploy — the dynamic API below only runs on the local dev server. On the public site, use the pre-generated snapshot files instead (refreshed on every deploy; filter client-side with jq):
| Path | Content |
|---|---|
/api/public/items.json | Selected items snapshot (with permalink field) |
/api/public/items-all.json | Selected + watch tier snapshot |
/api/public/topics.json | Hot topic clusters |
/api/public/daily.json | Today's digest (lead + category sections) |
/api/public/daily/{date}.json | Digest archive for a specific date |
/api/public/dailies.json | Archive index (date + lead title + counts) |
/api/public/version.json | apiVersion / skillVersion / generatedAt |
/finhot-skill/SKILL.md | Agent-facing skill (canonical: skills/finhot-skill/) |
/finhot-skill/install.sh | One-line skill installer |
All API endpoints return JSON with Access-Control-Allow-Origin: *.
GET /api/public/itemsFiltered item list with enrichment data.
Parameters:
| Param | Default | Description |
|---|---|---|
filter | selected | selected / watch / all |
since | — | ISO date, return items after this time |
q | — | Full-text search (title, summary, tags) |
category | — | Filter by feed category |
limit | 50 | Max items (capped at 500) |
Response:
{
"items": [
{
"id": "...",
"title": "...",
"url": "...",
"publishedAt": "...",
"author": "...",
"feedTitle": "...",
"feedCategory": "微博",
"summary": "AI-generated content summary",
"recommendationReason": "Why this is worth reading",
"qualityScore": 82,
"selected": "selected",
"tags": ["macro", "央行"],
"translation": null,
"clusterId": "...",
"relatedEntryIds": ["...", "..."]
}
],
"total": 12,
"filter": "selected"
}
GET /api/public/item/<id>Single item full detail including content body, qualityDetails, and related entries.
Response:
{
"id": "...",
"title": "...",
"content": "<html content>",
"summary": "...",
"recommendationReason": "...",
"qualityScore": 82,
"selected": "selected",
"qualityDetails": {
"scores": {
"information_gain": 4,
"depth": 4,
"evidence": 5,
"actionability": 3,
"originality": 4,
"signal_density": 5
},
"positiveReasons": ["..."],
"negativeReasons": ["..."],
"confidence": 0.82
},
"relatedEntries": [{ "id": "...", "title": "...", "feedTitle": "...", "qualityScore": 75 }]
}
GET /api/public/topicsHot topic clusters (multi-source event aggregation). The endpoint uses the same public radar defaults as the UI: recent 3-day entries, 18-hour clustering window, and embedding cosine similarity threshold 0.78, with tag/title fallback when embeddings are unavailable.
Response:
{
"topics": [
{
"id": "cluster-xxx",
"title": "Representative headline",
"entries": ["id1", "id2", "id3"],
"entryIds": ["id1", "id2", "id3"],
"sourceCount": 3,
"sources": ["Source A", "Source B"],
"entryCount": 3,
"avgQualityScore": 78,
"qualityScore": 78,
"selected": "selected",
"earliestAt": "...",
"latestAt": "...",
"publishedAt": "...",
"summary": "...",
"tags": ["macro"]
}
]
}
GET /api/public/dailyDigest for one day: lead headline (top-scored selected item), sections grouped by feed category, plus flat selection tiers.
Parameters:
| Param | Default | Description |
|---|---|---|
date | today | ISO date (YYYY-MM-DD); also accepted as path /api/public/daily/{date} |
Response:
{
"date": "2024-01-15",
"totalEntries": 45,
"lead": { "title": "...", "qualityScore": 91, ... },
"sections": [{ "label": "微博", "items": [...] }],
"selected": [...],
"watch": [...]
}
GET /api/public/dailiesArchive index of recent daily digests: { items: [{ date, leadTitle, selectedCount }], total }. Param take (default/max 14).
GET /api/public/versionVersion info for agent self-update checks: { apiVersion, skillVersion, generatedAt, installUrl, skillUrl }. skillVersion comes from skills/finhot-skill/VERSION.
| Tier | qualityScore | Display | Meaning |
|---|---|---|---|
selected | ≥ 70 | 精选 82 | High-value, curated |
watch | 40–69 | 观察 61 | Worth monitoring |
noise | < 40 | (hidden) | Low signal |
These are intentionally separate fields. An agent should use recommendationReason to decide relevance, and summary for content understanding.
| Source | Method | Config |
|---|---|---|
RSSHub /weibo/user/{uid} | Docker localhost:1200 | |
| Xueqiu | Built-in finhot://xueqiu/{uid} scraper or RSSHub route | Playwright/Chrome and Xueqiu cookie when required |
| Twitter/X | RSSHub /twitter/user/{handle} | TWITTER_AUTH_TOKEN in Docker env |
| wechat2rss proxy | License-bound local or remote service |
.finhot-cache/
├── manifest.json # Feed registry + metadata
├── entries/
│ └── {feedId}.json # Entries per feed
└── enrichments.json # AI results keyed by entry ID
# 1. Get today's curated items
GET /api/public/items?filter=selected&since=2024-01-15
# 2. Check hot topics
GET /api/public/topics
# 3. Get detail for interesting item
GET /api/public/item/{id}
# 4. Subscribe to curated RSS
# Add /feed.xml to any RSS reader