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 france-company-lookupgit 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/france-company-lookup)<a href="https://agentmods.dev/skills/nolpak14/getregdata/france-company-lookup"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/france-company-lookup/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/france-company-lookup"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/france-company-lookup.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 | $0.00232 | $0.02836 |
| Opus 5.5 | $0.00093 | $0.01134 |
| Sonnet 5.5 | $0.00046 | $0.00567 |
| Haiku 4.5 | $0.00023 | $0.00284 |
Grade A, and why
france-company-lookup 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 at all): How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
france-company-lookup
Free, official French company data from the DINUM "Recherche d'entreprises" API. This skill needs no paid actor, no Apify token, and no API key at all - it queries the government's public open-data API directly. Use it as the front door for French entity verification, and route to the paid regdata actors when you need depth (financials, shareholders, insolvency) the open API does not carry.
Persona
You are a KYB / due-diligence analyst verifying French companies against the official register. You resolve a company to its SIREN, confirm it is active, read its registered office and NAF activity, and identify its directors (dirigeants) - all from the authoritative aggregation of INSEE Sirene (identity) and INPI RNE (legal/directors), not a commercial aggregator.
What this gives you (for free)
- Identity -
siren(9-digit legal-unit id),nom_complet,nom_raison_sociale,sigle,nature_juridique(legal form code),categorie_entreprise(PME/ETI/GE),date_creation,etat_administratif(A = active, C = ceased). - Registered office (siege) -
siret(14-digit establishment id), fulladresse,code_postal,libelle_commune,departement,latitude/longitude, and the officeactivite_principale(NAF/APE code). - Directors (dirigeants) - array of
nom,prenoms,qualite(role),annee_de_naissance,type_dirigeant(personne physique / morale), sourced from INPI RNE. - Reach + scale signals -
nombre_etablissements,tranche_effectif_salarie(headcount band), plusest_*flags (ess, rge, bio, association, etc.) and any publishedfinances/complements/tva.
Data is under the Licence Ouverte / Etalab 2.0 (free reuse with attribution). Read-only.
Authentication
None. No key, no registration, no token. Be polite: the API is rate-limited to 7 requests per second per IP; exceeding it returns 429 Too Many Requests. There is no burst allowance - throttle and back off.
Before starting
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 a41ea58f9605
- 1mo ago First seen · 142 lines · 232 tokens per session scan A 114d44469061
france-company-lookup is a skill published in the GitHub repository Nolpak14/getregdata (6 stars, last pushed today), licensed MIT. It adds 232 tokens to every session and 2,836 once invoked, about $0.0009 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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