hkipo-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 currently open, which IPOs are closing soon, or which listings are coming up next in Hong Kong.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

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Install skill "hkipo-calendar-monitor" with this command: npx skills add hackstoic/hkipo-calendar-monitor

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 <skill_dir>
uv run --directory runtime/hkipo-next hkipo-next ...

Workflow

  1. Choose deadline when the user cares about subscription cutoffs.
  2. Choose listing when the user cares about debut dates.
  3. Default to --days 7 unless the user asked for another horizon.
  4. Prefer --format json for downstream machine use.
  5. Prefer --format text or --format markdown for direct human summaries.

Commands

Upcoming subscription deadlines:

cd <skill_dir>
uv run --directory runtime/hkipo-next hkipo-next calendar --window deadline --days 7 --format json

Upcoming listings:

cd <skill_dir>
uv run --directory runtime/hkipo-next hkipo-next calendar --window listing --days 7 --format markdown

Export a report:

cd <skill_dir>
uv run --directory runtime/hkipo-next hkipo-next calendar --window deadline --days 14 --format markdown --output /tmp/hkipo-deadlines.md

Output Cues

  • data.items is the authoritative IPO event list.
  • item.data_status, data.issues, meta.degraded, and meta.data_status tell you whether upstream data was partial.
  • entry_fee_hkd and total_margin_hkd_100m are useful ranking hints, but this skill does not score participation attractiveness.

Companion Skills

  • Use $hkipo-snapshot-extractor for one-symbol fact extraction.
  • Use $hkipo-decision-engine for participation advice.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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