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 agentmods add rules/csoai-org/insurance-verification-mcp/cursorrulesgit clone --depth 1 https://github.com/CSOAI-ORG/insurance-verification-mcpWrote 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/rules/csoai-org/insurance-verification-mcp/cursorrules)<a href="https://agentmods.dev/rules/csoai-org/insurance-verification-mcp/cursorrules"><img src="https://agentmods.dev/badge/rules/csoai-org/insurance-verification-mcp/cursorrules.svg" alt="Measured on agentmods" 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 | $0.00075 | $0.00075 |
| Opus 5 | $0.00037 | $0.00037 |
| Sonnet 5 | $0.00015 | $0.00015 |
| Haiku 4.5 | $0.00007 | $0.00007 |
Grade A, and why
cursorrules 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 3d 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.
What it actually says
insurance-verification-mcp - Auto-trigger Rules
When the user asks about insurance verification, use insurance-verification-mcp tools: verify_eligibility, prior_authorization_check, claim_status, fraud_indicators
MCP server for insurance verification mcp operations
Install: pip install insurance-verification-mcp
By MEOK AI Labs — MIT licensed.
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.
- 3d ago First seen · 10 lines · 75 tokens per session scan A 512b4276b8ec
cursorrules is a cursor rule published in the GitHub repository CSOAI-ORG/insurance-verification-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session, about $0.0004 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.
Other cursor rules, from other repositories
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When the user asks about drone airspace governance, use drone-airspace-governance-mcp tools: classifyoperation, bvlosriskassessment, remoteidcompliance, autonomousdecisiongovernance.
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When the user asks about dataprivacy, use dataprivacy-ai-mcp tools: classifypersonaldata, assesslawfulbasis, generatedpia, checkdatatransfer, calculatebreachseverity.
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When the user asks about landlaw, use landlaw-ai-mcp tools: searchlandregistry, checkplanningpermission, explaincovenant, calculatesdlt, draftsectionnotice.
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When the user asks about license checker, use license-checker-ai-mcp tools: identifylicense, checkcompatibility, generatelicense, explainterms.