analyzing-life-insurance-products
Evaluates life insurance product structures with cash value analysis, cost comparisons, and suitability assessment.
Skill by casemark
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
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~/.claude/skills/analyzing-life-insurance-products
What's inside
- Skill name
analyzing-life-insurance-products- Description
- Evaluates life insurance product structures with cash value analysis, cost comparisons, and suitability assessment. Use when analyzing life products, comparing insurance costs, or assessing product suitability.
- License
- Apache-2.0
- Metadata
- author: casemark
- Instructions
- 77 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Analyzing Life Insurance Products Evaluates life insurance product structures including term, whole life, universal life (UL), indexed UL, and variable UL, with cash value projections, cost-of-insurance analysis, and suitability assessment relative to client objectives. ## When To Use - Comparing product structures across carriers or product types for a specific client profile - Evaluating in-force policy performance against original illustrations - Assessing cash value accumulation efficiency and cost-of-insurance trends - Reviewing product suitability for estate planning, income replacement, or wealth transfer - Analyzing policy replacement proposals (1035 exchange scenarios) - Auditing illustration assumptions (credited rates, persistency, lapse risk) ## Inputs To Gather - **Policy documents**: Illustration ledgers, in-force summaries, policy contracts, riders - **Client profile**: Age, health classification (preferred/standard/rated), gender, tobacco status, state of issue - **Objective**: Death benefit need, cash accumulation target, premium budget, planning horizon - **Existing coverage**: Current policies, surrender values, outstanding loans, cost basis - **Carrier data**: Financial strength ratings (AM Best, S&P, Moody's), general account allocation, crediting rate history - **Benchmarks**: Comparable products or industry cost indices (e.g., Belth method, surrender cost index, net payment cost index) ## Workflow 1. **Classify the product type** — Identify whether term, whole life, UL, IUL, VUL, or hybrid (e.g., life/LTC combo). Note guaranteed vs. non-guaranteed elements and the general account vs. separate account structure. 2. **Extract cost-of-insurance (COI) charges** — Pull COI rates from the contract or illustration. Compare current COI charges against guaranteed maximums. Flag products where current rates are close to guaranteed ceilings. [VERIFY] COI rate schedules vary by carrier and may be subject to periodic adjustment. 3. **Analyze cash value projections** — Run or review illustrations at multiple crediting rate assumptions: - Guaranteed minimum rate - Current declared/credited rate - Midpoint scenario - For IUL: floor, cap, participation rate, and historical back-tested returns - Identify the crossover year where cash value exceeds cumulative premiums 4. **Evaluate premium structure** — Determine whether the product is funded at target, minimum, or maximum non-MEC levels. Assess MEC risk under IRC §7702A. Calculate the spread between minimum premium to maintain coverage and the planned premium. 5. **Compare costs across products** — Use standardized cost indices: - **Surrender cost index**: Net cost per $1,000 of coverage if policy is surrendered at benchmark durations (10, 20, 30 years) - **Net payment cost index**: Net cost per $1,000 if held to death at benchmark durations - **Belth yearly rate of return method**: Isolates the implied cost of insurance per year - Normalize for differences in death benefit design (level vs. increasing) 6. **Assess suitability** — Match product features against client needs: - Income replacement → level term or guaranteed UL with secondary guarantees - Estate liquidity → survivorship (second-to-die) whole life or guaranteed UL - Cash accumulation → overfunded IUL or VUL (assess cap/floor trade-offs) - Business succession → key person term or whole life with split-dollar arrangement - [VERIFY] State-specific suitability requirements and replacement regulations (e.g., NAIC Model Replacement Regulation) 7. **Review carrier financial strength** — Confirm AM Best rating (A or better typical threshold), surplus growth, RBC ratio, and general account investment quality. For products with long-duration guarantees, carrier stability is critical. 8. **Flag risks and assumptions** — Document sensitivity to interest rate changes, COI increases, policy loan arbitrage assumptions, and lapse-supported pricing. Identify any illustration assumptions that diverge from historical norms. ## Output Structure the analysis report with: - **Executive summary**: Product recommendation or comparison verdict in 2-3 sentences - **Product comparison table**: Side-by-side matrix of premiums, death benefits, cash values at years 10/20/30, cost indices, and carrier ratings - **Cash value projection chart**: Guaranteed vs. current vs. midpoint scenarios over the planning horizon - **COI analysis**: Current vs. guaranteed rate trajectory with breakeven assessment - **Suitability finding**: How each product aligns with stated client objectives - **Risk factors**: Interest rate sensitivity, carrier risk, lapse risk, MEC risk - **Recommendation**: Preferred product with rationale, or conditions under which each option is superior ## Quality Checks - Verify all illustration ledger values tie to the carrier-provided documents — do not interpolate missing years - Confirm premium mode (annual/semi/quarterly/monthly) is consistent across comparisons - Ensure cost indices use the same benchmark durations and discount rates - Validate that non-guaranteed elements are clearly labeled and separated from guarantees - Check that MEC status is correctly determined under IRC §7702A seven-pay test - Confirm carrier ratings are current (ratings change; mark with [VERIFY] if older than 12 months) - Flag any illustration that assumes crediting rates materially above the carrier's 10-year historical average - Note all state-specific regulatory requirements that may affect replacement or suitability determinations [VERIFY]
From FDU-INS/Insurance-Skills, Apache-2.0.
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Signals
- Stars
- 80
- Forks
- 18
- Open issues
- 1
- Last commit (this folder)
- May 18, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/FDU-INS/Insurance-Skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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analyzing-life-insurance-products skill. Agent Mart. https://agentmart.dev/skills/fdu-ins-analyzing-life-insurance-products (last updated 2026-10-24)