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Install in OpenClaw
/install hkipo-calendar-monitor
Description
Monitor Hong Kong IPO deadline and listing windows and return structured discovery results for near-term IPO scanning. Use when the user asks what is current...
README (SKILL.md)
HK IPO Calendar Monitor
Use this skill for read-only IPO discovery.
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
- Choose
deadlinewhen the user cares about subscription cutoffs. - Choose
listingwhen the user cares about debut dates. - Default to
--days 7unless the user asked for another horizon. - Prefer
--format jsonfor downstream machine use. - Prefer
--format textor--format markdownfor direct human summaries.
Commands
Upcoming subscription deadlines:
cd \x3Cskill_dir>
uv run --directory runtime/hkipo-next hkipo-next calendar --window deadline --days 7 --format json
Upcoming listings:
cd \x3Cskill_dir>
uv run --directory runtime/hkipo-next hkipo-next calendar --window listing --days 7 --format markdown
Export a report:
cd \x3Cskill_dir>
uv run --directory runtime/hkipo-next hkipo-next calendar --window deadline --days 14 --format markdown --output /tmp/hkipo-deadlines.md
Output Cues
data.itemsis the authoritative IPO event list.item.data_status,data.issues,meta.degraded, andmeta.data_statustell you whether upstream data was partial.entry_fee_hkdandtotal_margin_hkd_100mare useful ranking hints, but this skill does not score participation attractiveness.
Companion Skills
- Use
$hkipo-snapshot-extractorfor one-symbol fact extraction. - Use
$hkipo-decision-enginefor participation advice.
Usage Guidance
This skill appears to be what it says: a read-only Hong Kong IPO discovery CLI. Before installing, consider: (1) it will make outbound network requests to multiple third-party sites (AAStocks, AiPO, HKEX, Futu, etc.), so ensure you’re comfortable with that traffic leaving your environment; (2) the installer uses a Homebrew formula named 'uv'—verify the Homebrew tap/source to avoid installing an unexpected package; (3) the bundle includes a sizable Python codebase that runs locally (it requires a Python runtime managed by uv), so review or sandbox execution if you do not trust the origin (source is listed as unknown); (4) no API keys or secrets are requested by the skill. If you need stronger assurance, request the publisher's provenance or run the CLI in an isolated environment before granting broader use.
Capability Analysis
Type: OpenClaw Skill
Name: hkipo-calendar-monitor
Version: 0.1.0
The skill is a comprehensive financial monitoring tool for Hong Kong IPOs. It fetches data from public financial websites (AAStocks, HKEX, Jisilu) using standard libraries like httpx and BeautifulSoup. The code is well-structured, uses Pydantic for data validation, and maintains local state (cache and SQLite database) within dedicated user directories (~/.hkipo-next and ~/.hkipo-cache). There is no evidence of data exfiltration, malicious execution, or prompt injection; all behaviors are strictly aligned with the stated purpose of IPO discovery and decision support.
Capability Assessment
Purpose & Capability
Name/description (HK IPO calendar monitor) matches the included runtime: a full CLI (hkipo-next) that scrapes/queries public IPO data sources and exposes calendar/listing/deadline commands. The requested binary (uv) is used only to run the shipped runtime.
Instruction Scope
SKILL.md instructs the agent to run the bundled CLI under runtime/hkipo-next via 'uv run' and to prefer JSON for machine consumption. The runtime makes numerous outbound HTTP(s) requests (AAStocks, AiPO, HKEX, Futu, etc.) and WebSocket connections for data sources; this is consistent with the stated purpose but does mean the skill will fetch live data from multiple third-party endpoints (no instructions to read unrelated local files or hidden env vars were found).
Install Mechanism
Install spec is a Homebrew formula 'uv' that provides the 'uv' binary used to run the included runtime. Installing via Homebrew is a standard approach and lower risk than arbitrary downloads; however the 'uv' formula name may be uncommon depending on your environment—verify the brew tap/source before installing. The skill bundle itself includes the full Python runtime/source, so nothing external is fetched by the skill at runtime beyond normal HTTP requests to data providers.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The code performs network requests to public data sources but does not request or embed secrets or unrelated credentials.
Persistence & Privilege
The skill does not request always:true and does not modify other skills or global agent configuration. It runs the included CLI on-demand and does not require persistent elevated privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install hkipo-calendar-monitor - After installation, invoke the skill by name or use
/hkipo-calendar-monitor - 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 Calendar Monitor?
Monitor Hong Kong IPO deadline and listing windows and return structured discovery results for near-term IPO scanning. Use when the user asks what is current... It is an AI Agent Skill for Claude Code / OpenClaw, with 78 downloads so far.
How do I install HK IPO Calendar Monitor?
Run "/install hkipo-calendar-monitor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is HK IPO Calendar Monitor free?
Yes, HK IPO Calendar Monitor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does HK IPO Calendar Monitor support?
HK IPO Calendar Monitor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created HK IPO Calendar Monitor?
It is built and maintained by hackstoic (@hackstoic); the current version is v0.1.0.
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