A precision extraction tool that converts raw Hong Kong IPO data into structured, machine-readable snapshots with built-in quality validation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hkipo-snapshot-extractor
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install hkipo-snapshot-extractor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is HK IPO Snapshot Extractor?
The HK IPO Snapshot Extractor is a specialized tool designed to pull normalized financial facts from Hong Kong IPO listings. It moves beyond simple scraping by providing company fields, offer mechanics, and timing with strict field-level quality signals. By leveraging Openclaw Skills, this agent ensures that developers and analysts have access to reliable, provenance-backed data before proceeding to automated scoring or decision-making workflows.
This skill is particularly valuable for users who require high-integrity data where source conflicts are transparently reported rather than hidden. It serves as the foundational data layer for any automated investment research pipeline targeting the HKEX market, ensuring that machine-readable outputs are both accurate and auditable.
HK IPO Snapshot Extractor Use Cases
- Normalizing raw IPO prospectus data into structured JSON for downstream financial applications.
- Generating human-readable Markdown summaries of specific HK IPO symbols for research reports.
- Identifying data discrepancies and conflicting values across different financial data sources.
- Building automated triggers for IPO participation based on high-confidence data snapshots.
How HK IPO Snapshot Extractor Works
- The user initiates a request for a specific Hong Kong IPO symbol.
- The skill executes the snapshot command via the uv-managed Python runtime.
- Data is aggregated from upstream sources, and the system performs a conflict check across fields.
- Quality signals including missing fields and overall confidence scores are calculated.
- The skill outputs a structured snapshot in the requested format (JSON or Markdown) with full source provenance.
HK IPO Snapshot Extractor Setup
To install and run this skill, ensure you have the uv package manager installed. You can install it using Homebrew:
brew install uv
Navigate to the skill directory and execute the runtime using the following command structure:
cd <skill_dir>
uv run --directory runtime/hkipo-next hkipo-next snapshot <SYMBOL> --format json
HK IPO Snapshot Extractor Data Schema & Taxonomy
The skill organizes data into a structured hierarchy to ensure transparency and machine readability:
| Component | Description |
|---|---|
| Company Fields | Normalized data points like company name, industry, and ticker symbol. |
| Offer Mechanics | Details on pricing, lot sizes, and offering structure. |
| Field Sources | A mapping showing which upstream source provided the value for each field. |
| Quality Object | Contains missing_fields, conflicts, and overall_confidence metrics. |
| Meta Status | Indicates if the data is partial or degraded to prevent false conclusions. |
HK IPO Snapshot Extractor Advanced Features
- Multi-format output support allowing seamless switching between JSON for agents and Markdown for humans.
- Built-in conflict resolution engine that exposes alternate values when upstream sources disagree.
- Seamless integration with Openclaw Skills ecosystem components like the parameter manager and decision engine.
- Detailed provenance tracking through field_sources to maintain a clear audit trail for financial compliance.
SKILL.md
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