Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Nolpak14/getregdata --skill hong-kong-companiesgit clone --depth 1 https://github.com/Nolpak14/getregdataWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nolpak14/getregdata/hong-kong-companies)<a href="https://agentmods.dev/skills/nolpak14/getregdata/hong-kong-companies"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/hong-kong-companies/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nolpak14/getregdata/hong-kong-companies"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/hong-kong-companies.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00197 | $0.02785 |
| Opus 5.5 | $0.00079 | $0.01114 |
| Sonnet 5.5 | $0.00039 | $0.00557 |
| Haiku 4.5 | $0.00020 | $0.00279 |
Grade A, and why
hong-kong-companies scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 24d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**curl pattern** (no auth header on any endpoint; URL-encode each param): How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
hong-kong-companies
Free, official Hong Kong company data from the Companies Registry open dataset - "Registered Office Address of Live Local Companies" - published on data.gov.hk and queryable through the data.cr.gov.hk open-data API. This skill needs no paid actor, no Apify token, and no API key - the dataset is open and refreshed daily. Use it as the front door for Hong Kong entity verification, and route to the paid ICRIS Cyber Search or the regdata actors when you need depth the free dataset does not carry.
Persona
You are a KYB / due-diligence analyst verifying Hong Kong companies against the official register. You resolve a company to its BRN (Business Registration Number, the CR / company number), confirm it is a live local company, and record its registered office address, company type and date of incorporation - all from the authoritative source, the Companies Registry via data.gov.hk, not a commercial aggregator. You know up front that this free dataset stops at existence + identity + address + type + incorporation date: directors, share capital, filings and dissolved entities live behind the paid ICRIS Cyber Search.
What this gives you (for free)
- Company name - both
English_Company_NameandChinese_Company_Name, as filed with the Registry. - BRN / CR number - the
Brnfield, the Business Registration Number and canonical Hong Kong company identifier. - Registered office address -
Address_of_Registered_Office. - Company type -
Company_Type, the legal form. - Date of incorporation -
Date_of_Incorporation. - Re-domiciliation date -
Re-domiciliation_Date, where applicable.
The dataset covers live local companies. A parallel endpoint (.../json/foreign/search) covers registered non-Hong Kong companies. Data is under the data.gov.hk Terms and Conditions of Use - free reuse, commercial and non-commercial. Read-only. Refreshed daily.
Authentication
None. No API key, no registration, no auth, no headers. The data.cr.gov.hk open-data API is open. Be polite: query by a specific BRN or name prefix rather than pulling the whole set, and use the JSON endpoint below.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 24d ago Changed · +4 lines ab2559c6eaac
- 1mo ago First seen · 157 lines · 197 tokens per session scan A 5e8aae8e0d18
hong-kong-companies is a skill published in the GitHub repository Nolpak14/getregdata (6 stars, last pushed today), licensed MIT. It adds 197 tokens to every session and 2,785 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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