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 LegalQuants/lq-skills --skill corporate-registry-investigationgit clone --depth 1 https://github.com/LegalQuants/lq-skillsWrote 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/legalquants/lq-skills/corporate-registry-investigation)<a href="https://agentmods.dev/skills/legalquants/lq-skills/corporate-registry-investigation"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/corporate-registry-investigation/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/legalquants/lq-skills/corporate-registry-investigation"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/corporate-registry-investigation.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 | $0.00064 | $0.01404 |
| Opus 5 | $0.00032 | $0.00702 |
| Sonnet 5 | $0.00013 | $0.00281 |
| Haiku 4.5 | $0.00006 | $0.00140 |
Grade A, and why
corporate-registry-investigation scanned grade A with 0 findings 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 12d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
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.
corporate-registry-investigation
When to Use
- A user needs a quick company profile from Companies House records.
- A litigation, diligence, onboarding, or enforcement workflow needs officers, PSCs, charges, filings, or group indicators.
- The user wants risk signals from public registry material.
This skill reads registry evidence. It does not prove beneficial ownership beyond what the registry and supplied documents show.
Audience and Work Shape
Audience: disputes, diligence, KYC, onboarding, conflicts, and in-house legal users doing first-pass UK registry review for lawyer or compliance review.
Work shape: pattern-matched review of registry evidence. The skill extracts and labels public registry facts and risk leads; it does not conclude wrongdoing, beneficial ownership, or suitability.
Legal Failure Modes
- Legal support, not legal advice: registry outputs are investigative leads, not legal findings or allegations.
- Privilege/confidentiality: in litigation, enforcement, or internal-investigation contexts, outputs may form privileged or work-product material. Do not circulate outside the privilege group without lawyer approval.
- Accountability: the skill tabulates evidence and inferences; the lawyer or responsible reviewer decides what the evidence means and whether follow-up is required.
Access Modes
This skill works in three modes:
- Live registry mode - use browser, web search, MCP, API, or other configured access to retrieve Companies House pages, filings, officers, PSCs, charges, and filing history.
- User-supplied registry mode - use company profile pages, filing PDFs, screenshots, API exports, CSVs, HTML, or pasted registry material supplied by the user.
- No-source mode - prepare a company-number/name search plan and checklist, but do not state registry facts or risk signals.
If live Companies House access is unavailable and the user has not supplied registry material, ask for a company number, company-profile export, filing PDFs, screenshots, or source access. Do not fill registry facts from model memory.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 161 lines · 64 tokens per session scan A 3cfffe35c164
corporate-registry-investigation is a skill published in the GitHub repository LegalQuants/lq-skills (54 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 64 tokens to every session and 1,404 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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