analyzing-health-insurance-plans
Evaluates health insurance plan structures with actuarial value, network analysis, and cost projection.
Skill by casemark
Install
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.
npx agentmarket install skill/fdu-ins-analyzing-health-insurance-plans
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About
Use cases: testing
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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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codeload.github.com· found in install command
Files it touches
~/.claude/skills/analyzing-health-insurance-plans
What's inside
- Skill name
analyzing-health-insurance-plans- Description
- Evaluates health insurance plan structures with actuarial value, network analysis, and cost projection. Use when analyzing health plans, comparing coverage, or projecting healthcare costs.
- License
- Apache-2.0
- Metadata
- author: casemark
- Instructions
- 82 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Analyzing Health Insurance Plans ## When To Use - Comparing multiple health insurance plan options (employer group, individual market, or Medicare Advantage) - Evaluating actuarial value and metal-tier classification accuracy - Projecting out-of-pocket costs under different utilization scenarios - Assessing network adequacy for a specific population or geographic area - Reviewing plan design changes for renewal or repricing cycles - Analyzing reinsurance attachment points and stop-loss adequacy relative to plan exposure ## Inputs To Gather - **Plan documents**: Summary of Benefits and Coverage (SBC), Schedule of Benefits, Certificate of Coverage, Evidence of Coverage - **Rate filings**: Premium rates by tier (single, employee+spouse, family), age-banding tables if applicable - **Network data**: Provider directory or network ID, in-network vs. out-of-network reimbursement schedules, any tiered or narrow network designations - **Claims history** (if available): Aggregate paid claims, large-claimant data, utilization rates by service category - **Census data**: Member demographics, enrollment counts by tier, geographic distribution - **Formulary**: Drug tier structure, prior authorization requirements, specialty drug handling - **Reinsurance/stop-loss terms**: Specific and aggregate attachment points, lasering exclusions, contract period (paid vs. incurred basis) - **Comparison context**: Benchmark plans, prior-year plan design, or competing carrier quotes ## Workflow 1. **Classify the plan structure** - Identify plan type: HMO, PPO, EPO, POS, HDHP/HSA-eligible, or hybrid - Confirm metal tier (Bronze/Silver/Gold/Platinum) or equivalent actuarial value band - Note any non-standard design features: reference-based pricing, direct primary care carve-outs, or centers-of-excellence requirements 2. **Calculate actuarial value** - Map cost-sharing parameters: deductible, coinsurance, copays, out-of-pocket maximum (OOPM) - Apply standard continuance tables or the CMS AV Calculator methodology to estimate the plan's share of total allowed costs [VERIFY: confirm which AV calculator version or methodology is required for the filing year] - Flag deviations from de minimis AV ranges for the stated metal tier (±2 percentage points under ACA rules) [VERIFY: state-specific AV requirements may differ] 3. **Analyze network adequacy** - Check provider-to-member ratios for primary care, specialty, and facility categories against applicable state or CMS standards [VERIFY: network adequacy standards vary by state and market segment] - Identify geographic access gaps using drive-time/distance thresholds - Assess out-of-network exposure: balance billing protections, surprise billing act applicability, reference pricing methodology 4. **Project member cost exposure** - Model total cost of care under low, moderate, and high utilization scenarios - Calculate effective member cost share: premiums + expected out-of-pocket spend per scenario - Compare across plans using equivalent annual cost metrics (premium + expected OOP at each utilization level) - For HDHP plans, factor in HSA/HRA employer contributions and tax-advantage value 5. **Evaluate pharmacy benefits** - Map formulary tiers and typical member cost for high-utilization drug categories - Identify specialty drug exposure and accumulator/maximizer program impact on OOPM - Note step therapy, prior authorization, and quantity limit protocols 6. **Assess risk transfer and reinsurance** - Review specific stop-loss attachment points relative to historical large-claimant frequency - Evaluate aggregate stop-loss corridor and expected claims variability - Flag any lasered members or excluded conditions and quantify retained risk - For self-funded plans, assess claims-fund adequacy and IBNR reserves 7. **Compile comparative analysis** - Build side-by-side comparison matrix covering: premiums, cost sharing, AV, network breadth, pharmacy, and risk transfer - Rank plans on total effective cost, network quality, and financial risk exposure - Highlight material trade-offs (e.g., lower premium but narrow network, high deductible offset by HSA funding) ## Output - **Plan Analysis Summary**: One-page overview with plan classification, AV calculation result, and key cost metrics - **Cost Projection Table**: Low/moderate/high utilization scenario modeling with annual premium + OOP totals per plan - **Network Adequacy Assessment**: Provider ratio analysis, geographic access findings, and out-of-network risk notes - **Pharmacy Benefit Summary**: Formulary tier structure, specialty drug exposure, and accumulator program flags - **Reinsurance/Stop-Loss Review** (if applicable): Attachment point adequacy, retained risk quantification, and lasering impact - **Comparative Matrix**: Side-by-side plan ranking with trade-off commentary - **Flagged Items**: Any data gaps, assumptions made, or items requiring [VERIFY] follow-up ## Quality Checks - Confirm all cost-sharing parameters (deductible, coinsurance, copay, OOPM) are captured for both in-network and out-of-network tiers - Verify AV calculations use the correct methodology and plan year assumptions - Ensure utilization scenarios reflect realistic claims distributions (not just arbitrary multiples) - Check that premium comparisons use consistent contribution assumptions (gross vs. net of employer subsidy) - Validate network data is current — provider directories can be 60–90 days stale - Confirm reinsurance terms match the contract period and claims basis (paid vs. incurred) - Flag any state-mandated benefit requirements that could affect plan design comparability [VERIFY: essential health benefit benchmark varies by state] - Mark all jurisdiction-dependent regulatory references with [VERIFY]
From FDU-INS/Insurance-Skills, Apache-2.0.
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Featured in
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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Cite this page
analyzing-health-insurance-plans skill. Agent Mart. https://agentmart.dev/skills/fdu-ins-analyzing-health-insurance-plans (last updated 2026-10-24)