insurance-analysis

insurance-analysis is a skill for Claude Code, Codex from alexclowe/awesome-copilot-cowork-plugins. It costs 17 tokens per session (809 once invoked), scanned A, original, MIT.

Insurance policy analysis is the review of insurance contracts and coverage across property, cars, businesses, life, and health plans.

In plain words
What is it for?
Use it for policy reviews, coverage comparisons, life-insurance needs analysis, and claims analysis.
Why use it?
It helps make sense of complex policy wording, compare what different plans cover, and identify possible gaps when reviewing a claim.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for policy reviews, coverage comparisons, life-insurance needs analysis, and claims analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alexclowe/awesome-copilot-cowork-plugins/insurance-analysis
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 alexclowe/awesome-copilot-cowork-plugins --skill insurance-analysis
Clone the repo
git clone --depth 1 https://github.com/alexclowe/awesome-copilot-cowork-plugins

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 insurance-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/insurance-analysis/github.svg)](https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/insurance-analysis)
Your own site
<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/insurance-analysis"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/insurance-analysis/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 insurance-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/insurance-analysis"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/insurance-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 809 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 $0.00017 $0.00809
Opus 5 $0.00009 $0.00404
Sonnet 5 $0.00003 $0.00162
Haiku 4.5 $0.00002 $0.00081

Measured 12d ago against content hash 0364ad8d4c36, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

insurance-analysis 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.

insurance-agent/skills/insurance-analysis/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You have deep expertise in insurance policy analysis and coverage evaluation. When the user is working on policy reviews, coverage comparisons, or claims analysis, apply this knowledge automatically.

Core competencies

Property & Casualty (P&C):

  • Homeowners policy forms (HO-3, HO-5, HO-6, HO-4, HO-8) and their coverage differences
  • Auto policy structure: liability, collision, comprehensive, uninsured/underinsured motorist, PIP/MedPay
  • Commercial lines: general liability, commercial property, BOP, professional liability (E&O), workers' compensation, commercial auto
  • Umbrella and excess liability: when they apply, coverage triggers, self-insured retention vs deductible
  • Inland marine, flood (NFIP and private), earthquake — coverages commonly excluded from standard policies

Life insurance:

  • Term life: level term, decreasing term, return of premium
  • Permanent life: whole life, universal life, variable universal life, indexed universal life
  • Riders: waiver of premium, accelerated death benefit, guaranteed insurability, long-term care
  • Needs analysis concepts: income replacement, debt coverage, education funding, estate liquidity

Health insurance:

  • Plan types: HMO, PPO, EPO, HDHP with HSA
  • Key metrics: deductible, coinsurance, copay, out-of-pocket maximum, network considerations
  • Supplemental: dental, vision, disability (short-term and long-term), critical illness, accident

Commercial lines:

  • Business owner's policy (BOP) vs monoline coverage
  • General liability vs professional liability vs product liability
  • Business interruption and extra expense coverage
  • Key person insurance and buy-sell agreement funding
  • Cyber liability and data breach coverage

Explaining insurance concepts in plain language

Translate insurance jargon for clients:

  • Deductible: "The amount you pay out of pocket before your insurance starts paying"
  • Coinsurance: "After your deductible, you and the insurance company split costs — typically you pay 20% and they pay 80%, up to your out-of-pocket maximum"
  • Subrogation: "If someone else caused the damage, your insurance company pays you first and then goes after the responsible party to get their money back"
  • Endorsement/rider: "An add-on to your policy that either adds coverage or changes the terms"
  • Actual Cash Value vs Replacement Cost: "ACV pays what your damaged item is worth today (with depreciation), while replacement cost pays what it costs to buy a new one"
  • Umbrella policy: "Extra liability coverage that kicks in when your home or auto policy limits are used up — it's a safety net above your other policies"

Read the full file on GitHub · 66 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. 12d ago First seen · 66 lines · 17 tokens per session scan A 0364ad8d4c36

Subscribe to this mod's changes

insurance-analysis is a skill published in the GitHub repository alexclowe/awesome-copilot-cowork-plugins (17 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 809 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

investor-reviewer

Reviews a proposal, business case, deck or plan in character as an Investor archetype, then saves a structured review document with a verdict, findings that cite the artifact, capital-allocation risks and five interrogation questions. Use when the user asks for an investor review, a capital-lens pressure-test of a…

Yugpat1835/awesome-copilot-cowork-skills · 82 tokens

cfo-reviewer

Reviews a proposal, business case, deck or plan in character as a Chief Financial Officer archetype, then saves a structured review document with a verdict, findings that cite the artifact, finance risks and five interrogation questions. Use when the user asks for a CFO review, a finance-lens pressure-test of a…

Yugpat1835/awesome-copilot-cowork-skills · 80 tokens

apify-x402-agentic-wallet

Discover, pay for, and run any Apify Actor by paying USDC on Base over the x402 protocol with a Coinbase Agentic Wallet (awal) — no Apify account or API key. You buy one small, spend-capped prepaid Apify token, then run as many Actors as the request needs with it. Use when the user wants to use Apify tools without…

apify/awesome-skills · 158 tokens

sprr

Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Triggers include "sprr", "review PR", "check PR", and "validate contribution".

wilsonfreitas/awesome-quant · 60 tokens

bprr

Bulk PR reviewer for awesome-quant. Use when the user asks to review all open PRs, review unreviewed PRs, bulk review, or mentions "bprr". Reviews open PRs lacking the reviewed label and presents a summary before any merge/comment/label action.

wilsonfreitas/awesome-quant · 61 tokens

update-pypi-dates

Refresh tracked PyPI last-updated dates in awesome-quant README.md. Use when the user asks to update PyPI dates, refresh PyPI metadata, or run update-pypi-dates.

wilsonfreitas/awesome-quant · 47 tokens