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Install in OpenClaw
/install hkipo-snapshot-extractor
Description
Extract a structured Hong Kong IPO snapshot with company fields, offer mechanics, timing, source provenance, and field-level quality signals. Use when the us...
README (SKILL.md)
HK IPO Snapshot Extractor
Use this skill for read-only single-symbol analysis.
Runtime
This publish bundle includes the required CLI runtime under runtime/hkipo-next.
From the skill folder:
cd \x3Cskill_dir>
uv run --directory runtime/hkipo-next hkipo-next ...
Workflow
- Run
snapshotfor the target symbol. - Use
--format jsonwhen another skill will consume the result. - Check
issues,quality.missing_fields,quality.conflicts, andquality.overall_confidencebefore making strong claims. - Build human summaries from the normalized fields instead of paraphrasing raw upstream pages.
Commands
Machine-readable snapshot:
cd \x3Cskill_dir>
uv run --directory runtime/hkipo-next hkipo-next snapshot 2476 --format json
Readable markdown snapshot:
cd \x3Cskill_dir>
uv run --directory runtime/hkipo-next hkipo-next snapshot 2476 --format markdown
Export a snapshot file:
cd \x3Cskill_dir>
uv run --directory runtime/hkipo-next hkipo-next snapshot 2476 --format markdown --output /tmp/2476-snapshot.md
Output Cues
field_sourcesshows which upstream source won per field.quality.conflictsexposes alternate values when sources disagree.meta.degradedormeta.data_status=partialusually means the snapshot is usable with caveats, not unusable.
Companion Skills
- Use
$hkipo-parameter-managerbefore scoring if the user wants to tune rules. - Use
$hkipo-decision-enginewhen the user wants a participation recommendation.
Usage Guidance
This skill appears coherent: it bundles a Python CLI that scrapes and normalizes HK IPO data and requires the 'uv' runner. Before installing, be aware it will perform outbound web requests to multiple public endpoints (AAStocks, AiPO, HKEX, Sina/Tencent APIs, etc.) and will write cache/sqlite files under the runtime directory. If you need to limit network access, run it in a sandbox or on a machine where outbound connections are acceptable. Also review the Homebrew 'uv' formula on your platform before installing and confirm that using the upstream data sources complies with your data-use policies.
Capability Analysis
Type: OpenClaw Skill
Name: hkipo-snapshot-extractor
Version: 0.1.0
The skill is a comprehensive financial analysis tool designed to extract and score Hong Kong IPO data. It fetches information from legitimate public sources such as HKEX, AAStocks, Jisilu, and Yahoo Finance. The codebase includes a refactored CLI (hkipo-next) and legacy scraping scripts, utilizing a local SQLite database for storing scoring parameters and review history, and a local file cache in the user's home directory. No evidence of data exfiltration, malicious execution, or prompt injection was found; the use of environment variables for API tokens and local configuration is consistent with the tool's stated purpose.
Capability Assessment
Purpose & Capability
Name/description match the delivered artifacts: a Python CLI (runtime/hkipo-next) that fetches IPO data from public sources (AAStocks, AiPO, HKEX, Jisilu, Futu, etc.). The only declared binary dependency is 'uv' which is used to run the bundled runtime; no unrelated cloud credentials or system-level access are requested.
Instruction Scope
Runtime instructions are narrow and read-only from the user's perspective (run the packaged CLI to produce JSON/markdown snapshots). The code does perform many outbound HTTP requests (including token extraction from aipo.myiqdii.com, calls to suggest/sina and qt.gtimg APIs, WebSocket mention for AAStocks), and it can create cache/storage files (sqlite/cache) under the runtime. Those network calls and local caching are expected for this skill but the user should know the skill will contact multiple external services and may persist cached data locally.
Install Mechanism
Install spec only requests a Homebrew formula 'uv' (used as the runtime runner). This is a standard package-manager install rather than an arbitrary archive download. No installers reference shorteners, personal servers, or extraction of unknown archives.
Credentials
The skill declares no required environment variables or credentials. The code performs unauthenticated or site-token-based scraping of public web APIs; no unrelated secrets (AWS, GitHub tokens, etc.) are requested.
Persistence & Privilege
always:false and normal autonomous-invocation settings. The bundle includes caching and a sqlite storage layer (writes under runtime/hkipo-next), which is proportionate to a data-fetching CLI. It does not request to modify other skills or system-wide agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install hkipo-snapshot-extractor - After installation, invoke the skill by name or use
/hkipo-snapshot-extractor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial ClawHub release
Metadata
Frequently Asked Questions
What is HK IPO Snapshot Extractor?
Extract a structured Hong Kong IPO snapshot with company fields, offer mechanics, timing, source provenance, and field-level quality signals. Use when the us... It is an AI Agent Skill for Claude Code / OpenClaw, with 75 downloads so far.
How do I install HK IPO Snapshot Extractor?
Run "/install hkipo-snapshot-extractor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is HK IPO Snapshot Extractor free?
Yes, HK IPO Snapshot Extractor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does HK IPO Snapshot Extractor support?
HK IPO Snapshot Extractor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created HK IPO Snapshot Extractor?
It is built and maintained by hackstoic (@hackstoic); the current version is v0.1.0.
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