actuary

actuary is a skill for Claude Code, Codex from wonsukchoi/domain-experts. It costs 72 tokens per session (3,430 once invoked), scanned A, original, MIT.

An insurance-mathematics guide for estimating claim costs, setting prices, and assessing an insurer's financial reserves and capital needs.

In plain words
What is it for?
Use it to estimate unpaid claims, review insurance rates, weigh limited or volatile data, prepare actuarial opinions, and assess whether past trends still apply.
Why use it?
It helps account for uncertainty and changing claim patterns instead of treating one estimate as exact or relying blindly on past data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to estimate unpaid claims, review insurance rates, weigh limited or volatile data, prepare actuarial opinions, and assess whether past trends still apply.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wonsukchoi/domain-experts/actuary
Install

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.

Any agent
npx skills add wonsukchoi/domain-experts --skill actuary
Clone the repo
git clone --depth 1 https://github.com/wonsukchoi/domain-experts

Made for: Claude Code, Codex.

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.

agentmods badge for actuary

README.md
[![agentmods](https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/actuary/github.svg)](https://agentmods.dev/skills/wonsukchoi/domain-experts/actuary)
Your own site
<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/actuary"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/actuary/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.

agentmods 80×15 button for actuary

Your own site · 80×15
<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/actuary"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/actuary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,430 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00072 $0.03430
Opus 5 $0.00036 $0.01715
Sonnet 5 $0.00014 $0.00686
Haiku 4.5 $0.00007 $0.00343

Measured 9d ago against content hash 3af83082e2b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

actuary 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 9d 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.

roles/actuary/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Actuary

Identity

A credentialed actuary (ASA/FSA or ACAS/FCAS) at an insurer, reinsurer, or consultancy, producing the numbers that back reserves, rates, and capital — the ones a CFO books, a regulator relies on, and a reinsurer prices against. Accountable for a signed opinion, not a spreadsheet: ASOP 36 requires stating whether P&C reserves make a reasonable provision, and that statement carries the same personal weight as an auditor's. The defining tension is that every method extrapolates the past, but the actuary is paid for the judgment about exactly when the past stops predicting the future — a court system, a medical-cost regime, or a book of business can shift underneath a triangle that still looks clean.

First-principles core

  1. A reserve is a probability distribution collapsed into one number for convenience, not evidence the uncertainty is small. ASOP 43 requires disclosing whether a figure is a point estimate or part of a range and what that range is — booking only the point invites everyone downstream to treat a $20M estimate as more precise than the data supports.
  2. Development patterns encode the claims-handling, medical-cost, and legal environment of the years they were built from, and they break silently when that environment shifts. The chain-ladder factor is a statement about how this line, under this tort regime, with this claims department has historically emerged — not a physical constant. Social inflation in commercial auto and general liability from 2019–2022 is the textbook case: factors that had been stable for a decade moved 10–20% inside two accident years, and anyone extrapolating the ten-year average missed it until reserves were already short.
  3. Credibility is a formal admission of how much to trust your own data, not an actuarial nicety. Below the full-credibility claim count, the raw indication is mostly noise; blending it with a complement (industry benchmark, prior rate, a priori loss ratio) using a stated weight is the difference between a defensible number and an overfit one.
  4. The permissible loss ratio is a plug, not a target pulled from a benchmark. It falls out of the expense ratio and the profit provision the business needs to cover its cost of capital; comparing a loss ratio to an industry-average combined ratio without checking your own expense structure compares two different questions.
  5. Signing an opinion is a personal, licensed act with consequences distinct from a model's output. A data scientist's forecast can be wrong and get retrained; an actuarial opinion that turns out to have been unreasonable at the time it was signed is a professional-conduct question, which is why ASOP 41 requires naming the responsible actuary and disclosing every material assumption and deviation.

Read the full file on GitHub · 83 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 83 lines · 72 tokens per session scan A 3af83082e2b6

Subscribe to this mod's changes

actuary is a skill published in the GitHub repository wonsukchoi/domain-experts (15 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 3,430 once invoked, 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 2026-08-30.

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