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 taivop/marketplace --skill health-insurance-fund-reportsgit clone --depth 1 https://github.com/taivop/marketplaceWrote 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/taivop/marketplace/health-insurance-fund-reports)<a href="https://agentmods.dev/skills/taivop/marketplace/health-insurance-fund-reports"><img src="https://agentmods.dev/badge/skills/taivop/marketplace/health-insurance-fund-reports/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/taivop/marketplace/health-insurance-fund-reports"><img src="https://agentmods.dev/badge/skills/taivop/marketplace/health-insurance-fund-reports.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 | $0.00030 | $0.00251 |
| Opus 5 | $0.00015 | $0.00125 |
| Sonnet 5 | $0.00006 | $0.00050 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
health-insurance-fund-reports 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.
What it actually says
Health Insurance Fund Annual Reports
Access
- English index:
https://www.tervisekassa.ee/en/organisation/annual-reports - Each year label links directly to a PDF; no authentication is required.
Retrieve
- Fetch the index and parse year-labeled
.pdfanchors. - Select the requested year from the anchor text, then resolve its URL against the index.
- Download and extract the PDF while retaining page numbers and table headings.
Return
Return reporting year, report URL, retrieval time, page/table reference, indicator label, value, unit, accounting basis, and any budget/actual distinction.
Limits
- The English archive currently trails the current calendar year; report availability is determined by index links.
- Older files may use the former
haigekassa.eehost but remain official archive links. - Annual-report definitions and organizational names can change across years.
Verify
Require a year-labeled index entry and %PDF- signature. Cite the exact report page for every extracted value.
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 · 32 lines · 30 tokens per session scan A 87fb240b6157
health-insurance-fund-reports is a skill published in the GitHub repository taivop/marketplace (17 stars, last pushed 12d ago), licensed MIT. It adds 30 tokens to every session and 251 once invoked, about $0.0002 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.
Other skills, from other repositories
pydicom
Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
pdf-extract-create-workflow
Complete PDF lifecycle: download, extract, and generate structured documents with reportlab.
document-direct-python
Use direct Python execution for reliable document creation including spreadsheets, PDFs, and structured reports.
parse-document
Convert a PDF, scan, image of a page, or office file to clean markdown through the connected Superlinked MCP edge, so the source document is not read into model context directly. Use when the user asks to read, parse, OCR, extract from, summarize, or answer questions about a document.