OpenInsurance: Instructions file for Claude Code

CLAUDE.md

OpenInsurance CLAUDE.md is an instructions file for Claude Code from sluyasu/OpenInsurance. It costs 1,305 tokens per session, scanned A, original, MIT.

A project instruction file for an insurance knowledge base that collects public insurer documents and turns them into source-cited Markdown articles. It defines rules for extraction, processing, and neutral presentation.

In plain words
What is it for?
Use it when scraping or extracting insurer documents, updating the insurance wiki, checking sources, or operating its search and knowledge-extraction pipeline.
Why use it?
It helps agents preserve source citations, separate the project's processing layers, and avoid turning factual information into personalized insurance advice.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is sluyasu/OpenInsurance's own configuration. It tells Claude Code how to work on OpenInsurance itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything OpenInsurance configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sluyasu/OpenInsurance. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/sluyasu/OpenInsurance/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/sluyasu/OpenInsurance

Made for: Claude Code.

Wrote 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.

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README.md
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Per session 1,305 This file is loaded in full into every session.
When invoked 1,305 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01305 $0.01305
Opus 5 $0.00652 $0.00652
Sonnet 5 $0.00261 $0.00261
Haiku 4.5 $0.00130 $0.00130

Measured 6d ago against content hash cacd613a7b58, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

OpenInsurance CLAUDE.md 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 6d 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.

CLAUDE.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

openinsurance-wiki - operating rules for agents

You are working in a public, open-source, country-agnostic insurance knowledge base. It scrapes insurers' public PDFs and extracts them into a rich, source-cited Markdown wiki. Read this before editing anything.

The eight rules

  1. No personalized advice. This is an information tool. Never recommend, rank, or score insurers/products, and never tell a user what to buy. Factual descriptions and neutral side-by-side comparisons only. (Giving personalized insurance advice requires a license - e.g. FSMA in Belgium.) This rule is per jurisdiction, and it is deliberately stricter than any single one of them. Switzerland, for instance, draws the line elsewhere: OS (RS 961.011) art. 182a al. 3 says "les personnes qui fournissent uniquement des données ou des informations ne sont pas considérées comme des intermédiaires d'assurance", and al. 2 catches ranking and price comparison only for those who "ont un intérêt économique" in a contract being concluded. So in Switzerland the exposure comes from monetisation, not from comparing. Keeping the strict rule everywhere is the simple way to be safe in all of them at once; before relaxing it anywhere, check that jurisdiction's own text, and note that monetising the project would change the analysis in Switzerland even if nothing else changed. Per-country detail lives in _meta/<cc>-market-census.md.
  2. Never edit generated pages. Anything with generated: true in its frontmatter (everything under wiki/**/products/ and wiki/**/insurers/) is produced by pipeline/build_wiki.py from the extraction data. To fix a fact, edit the JSON in data/<cc>/extracted/ (or fix the prompt/re-extract) and rebuild. Editing a generated .md by hand will be overwritten.
  3. Every product fact traces to a source. Each product page cites its source_url and page numbers. If a claim can't be tied to the source document, it does not go on the page. When in doubt, leave it out.
  4. Grounded, not inferred. The extraction transcribes and structures what the PDF says. Do not generalize, infer market norms, or fill gaps from outside knowledge. Observation ≠ inference - keep them separate.
  5. Freshness is explicit. Every page carries a freshness date (and products carry the PDF edition_date). Flag stale editions rather than hiding them.
  6. Gaps are labeled, not hidden. Missing coverage, an unresolved PDF URL, or an unwritten page → mark it (status: stub, an explicit "not found" note). Silent omission reads as false completeness.
  7. Reproducibility is sacred. Every input (sources, prompts, schema) is committed; every output is regenerable. Don't introduce a hidden dataset, a hand-tweaked generated page, or a non-committed prompt.
  8. Mind dates, versions, extensions. Never conflate an old edition of a product with the current one. Capture edition_date; group by product_family; the newer edition supersedes the older (linked, not deleted). Variants (channel/formula) are parallel, not superseded. An extension/option is not a standalone product (is_extension/extends). See CONTRIBUTING.md "Versions, editions & extensions".
  9. Insurance products only. A wiki page documents a contractual or pre-contractual document of a specific insurance product (CG, CP, IPID/DIC, product-specific tariff or limits table, product sheet, notice, règlement mutualiste, assistance convention). Company statutes, financial/fund reports, activity nomenclatures, generic legal notices tied to no single product, commercial-discount riders, industry-wide conventions and service conventions carrying no insurance cover are out of scope: mark the source row out_of_scope: "<reason>" instead of ingesting it (the row stays, the decision is recorded). The extraction agent refuses them (out_of_scope_reason), and validate blocks any that slip through. See CONTRIBUTING.md "Scope: what belongs in the wiki".

Read the full file on GitHub · 73 lines

Changes

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.

  1. 6d ago First seen · 73 lines · 1,305 tokens per session scan A cacd613a7b58

Subscribe to this mod's changes

OpenInsurance CLAUDE.md is an instructions file published in the GitHub repository sluyasu/OpenInsurance (1 stars, last pushed 1mo ago), licensed MIT. It adds 1,305 tokens to every session, about $0.0065 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 2026-08-31.

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