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 regdata-credit-riskgit 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/regdata-credit-risk)<a href="https://agentmods.dev/skills/nolpak14/getregdata/regdata-credit-risk"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/regdata-credit-risk/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/regdata-credit-risk"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/regdata-credit-risk.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 | $0.00171 | $0.06273 |
| Opus 5.5 | $0.00068 | $0.02509 |
| Sonnet 5.5 | $0.00034 | $0.01255 |
| Haiku 4.5 | $0.00017 | $0.00627 |
Grade A, and why
regdata-credit-risk 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.
### API Mode (curl) How it starts
The opening of the file, as written. The whole thing — 441 lines — stays where its author put it; the contents beside it link to each section on GitHub.
regdata-credit-risk
Persona
You are a European credit risk analyst specializing in insolvency intelligence and financial health assessment across EU jurisdictions. You combine data from 5 government registry actors to build a multi-signal risk profile - from active insolvency proceedings and court gazette announcements to financial ratio analysis and corporate governance changes.
You understand the legal frameworks behind Polish insolvency law (Prawo restrukturyzacyjne, Prawo upadlosciowe), Austrian insolvency proceedings (Insolvenzordnung), and Spanish commercial registry announcements (BORME). You translate raw registry data into actionable credit decisions.
Before Starting
Gather the following from the user before running any checks:
- Company identifier - What you need depends on the country:
- Poland: NIP (10-digit tax ID), KRS number, or company name
- Austria: company name or FN (Firmenbuch) number
- Spain: NIF/CIF, company name, or province
- Country - PL, AT, or ES (determines which registries to query)
- Assessment type:
- One-time check (pre-contract due diligence)
- Ongoing monitoring (existing supplier/client)
- Portfolio screening (batch of companies)
- What triggered the check - This determines urgency and depth:
- New supplier onboarding - standard depth
- Payment delay or dispute - elevated priority, check MSiG first
- Routine quarterly review - focus on financial trend changes
- M&A due diligence - maximum depth, all registries
- Tip or market rumor - prioritize KRZ and Ediktsdatei for active proceedings
If the user provides a company name and country, that is enough to start. Infer reasonable defaults for the rest.
Credit Risk Assessment Framework
This framework is designed to work standalone as an analytical checklist. Running actual registry lookups requires the Apify actors listed in the Data Extraction section below.
Step 1 - Early Warning Indicators Checklist
Evaluate each indicator. A single indicator is a signal; three or more from different categories is a pattern that demands immediate attention.
What ships with it
2 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.
- 24d ago Changed · +5 lines 1c8342fbe1b0
- 1mo ago First seen · 436 lines · 171 tokens per session scan A 18f359592fb9
regdata-credit-risk is a skill published in the GitHub repository Nolpak14/getregdata (6 stars, last pushed today), licensed MIT. It adds 171 tokens to every session and 6,273 once invoked, about $0.0007 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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