Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Pulls real-time market news from Cailian Press (CLS) and filters items by sector and event type to surface stock-positive catalysts. Normalizes raw news into structured rows with ticker, company, catalyst, and confidence fields ready for downstream scoring pipelines.
Automates the manual scan of CLS news into a structured, filterable feed so catalyst signals reach scoring pipelines without manual copy-paste.
When to use it
- Scanning for earnings upgrade announcements in the new energy sector
- Filtering policy support news before market open
- Identifying major contract wins for watchlist stocks
- Feeding catalyst data into a quantitative scoring model
- Monitoring consumer sector news for event-driven trades
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: get the last hour of CLS news filtered to 新能源 and 业绩预增
- 1Fetches latest items from the configured CLS endpoint
- 2Normalizes each item into title, summary, ticker, company, published_at, source_url fields
- 3Classifies each item by event type
- 4Filters to rows matching 新能源 sector and 业绩预增 event type
- 5Returns structured table rows with ticker, company, catalyst, source_url, timestamp, and confidence
Filtered table of catalyst hits ready for downstream scoring
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.