historic-eiopa-yield-curve SKILL.md skillA

historic-eiopa-yield-curve from open-source-modelling/insurance_skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add open-source-modelling/insurance_skills/historic-eiopa-yield-curve@git:20260903.0a84f1f

Pins git:20260903.0a84f1f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
open-source-modelling/insurance_skills
Path
eiopa-yield-curve-skill/historic-eiopa-yield-curve/SKILL.md
Versions recorded
1
Latest version
git:20260903.0a84f1f, committed Sep 3, 2026
Size
9,932 bytes
Repository stars
5
License
MIT

Answer any question about historic EIOPA risk-free rate (RFR) yield curves - a spot rate for a country and tenor at a reference date, a whole term structure, a tenor through time, countries side by side, implied forwards, discount factors, the Solvency II stressed curves, or curve parameters (UFR, LLP, alpha, CRA, VA). It carries the full published history with it - every monthly release since 2014-12-31, all curves, terms 1-150 years, no_VA and with_VA - so it needs no dataset, database…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# EIOPA yield curve lookups

This skill is self-contained. `scripts/data/curves.pack` holds every rate EIOPA
has published — every monthly release, all curves, terms 1–150 years, both
`no_VA` and `with_VA` — in about 370 KB, and `scripts/eiopa_curves.py` reads it
and nothing else.

```bash
python <skill>/scripts/eiopa_curves.py <command> [options]
```

**No repo, no database, no network, no third-party package.** Copy those two
files anywhere Python 3 runs and every command works. Do not go looking for a
`yield_curves.csv` or an `EIOPA_all_curves` checkout — the skill ignores them
deliberately. A query costs about 150 ms and writes nothing.

**The pack is a snapshot, and that is the one way this skill can be confidently
wrong.** It cannot know about releases published after it was built. Run
`coverage` or `facts` for the live figures — both print the snapshot date and the
last release held, and `--json` carries `snapshot_generated` and
`latest_release_in_snapshot`. Say which release the data stops at whenever
recency could matter: `latest` means the newest release *in this snapshot*, not
the newest EIOPA has issued.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add open-source-modelling/insurance_skills/historic-eiopa-yield-curve@sha256:53c5602147486a36

The line at the top of this page pins the label git:20260903.0a84f1f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_7cpk7mem4t7tyb65.svg)](https://markdownregistry.com/a/art_7cpk7mem4t7tyb65)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 3, 2026.

versioncommittedcommitsizeaudit
git:20260903.0a84f1f latest2026-09-03 0a84f1f 9,932 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9932 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

open-source-modelling/insurance_skills · 5 stars · license MIT · pushed 2026-09-28 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7cpk7mem4t7tyb65
GET https://markdownregistry.com/api/v1/resolve?ref=open-source-modelling/insurance_skills/historic-eiopa-yield-curve
GET https://markdownregistry.com/api/v1/blob/53c5602147486a368b18d2dcb32cff7aa646449457c52e5e397593f212ef4bf7

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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