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analyzing-cyber-insurance

Structures cyber insurance evaluation with coverage assessment, limit adequacy, and claims scenario analysis.

Skill by casemark

IndexedApache-2.0★ 80
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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.

npx agentmarket install skill/fdu-ins-analyzing-cyber-insurance

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About

Structures cyber insurance evaluation with coverage assessment, limit adequacy, and claims scenario analysis. Use when evaluating cyber coverage, analyzing policy terms, or assessing cyber insurance adequacy.

Use cases: testing

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Permissions

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

Files it touches

  • ~/.claude/skills/analyzing-cyber-insurance

What's inside

Skill name
analyzing-cyber-insurance
Description
Structures cyber insurance evaluation with coverage assessment, limit adequacy, and claims scenario analysis. Use when evaluating cyber coverage, analyzing policy terms, or assessing cyber insurance adequacy.
License
Apache-2.0
Metadata
author: casemark
Instructions
78 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Analyzing Cyber Insurance

## When To Use

- Evaluating a new or renewal cyber insurance policy for coverage adequacy
- Comparing competing cyber policy quotes across carriers
- Assessing whether existing cyber limits align with the insured's risk profile
- Running claims scenarios to stress-test policy response under breach events
- Reviewing policy language for sublimit traps, retroactive date gaps, or exclusion pitfalls
- Advising on tower structure or excess placement for large cyber programs

## Inputs To Gather

- **Policy documents**: Full policy form including declarations page, endorsements, and any manuscript amendments
- **Insured profile**: Industry vertical, annual revenue, record count (PII/PHI/PCI), geographic footprint, and IT infrastructure summary
- **Loss history**: Prior cyber claims, near-misses, and any regulatory actions or litigation
- **Risk assessment data**: Most recent penetration test results, SOC 2 or ISO 27001 status, incident response plan maturity
- **Program structure**: Primary and excess layers, attachment points, carrier line-up, and any shared/quota arrangements
- **Benchmark data**: Peer company limits, industry loss trends (e.g., Advisen, NetDiligence claims studies), and broker market intelligence
- **Coverage requirements**: Contractual insurance obligations, regulatory mandates, and board risk appetite statements

## Workflow

1. **Map coverage grants against risk exposures**
   - Parse insuring agreements for first-party (business interruption, data restoration, extortion, forensic costs, notification/credit monitoring, crisis management/PR) and third-party (network security liability, privacy liability, regulatory defense and penalties, media liability, PCI-DSS fines) coverages
   - Flag any coverage grants that are absent given the insured's exposure profile
   - Note whether coverage triggers are occurrence-based, claims-made, or claims-made-and-reported, and confirm retroactive date adequacy

2. **Analyze key policy terms and conditions**
   - Identify sublimits that effectively cap high-frequency loss categories (e.g., ransomware/extortion sublimit, dependent business interruption sublimit, voluntary notification sublimit)
   - Review waiting period / hours clause for business interruption — compare against insured's actual RTO expectations
   - Examine consent requirements for breach counsel, forensic vendors, and ransom payments [VERIFY carrier panel requirements]
   - Assess war/terrorism and nation-state exclusions — note whether carve-backs for cyberterrorism exist
   - Review infrastructure/cloud exclusion wording — confirm coverage extends to hosted environments (AWS, Azure, SaaS dependencies)
   - Check prior acts, pending/prior litigation, and prior knowledge exclusions for gaps

3. **Evaluate limit adequacy**
   - Model loss scenarios across severity tiers:
     - **Low**: Single employee credential compromise, limited data exposure (~5K records)
     - **Medium**: Ransomware event with 72-hour operational downtime, partial data exfiltration (~500K records)
     - **High**: Systemic breach with regulatory investigation across multiple jurisdictions, class action exposure (~5M+ records)
   - For each scenario, stack estimated costs: forensic investigation, notification, credit monitoring, legal defense, regulatory fines, business interruption loss, and reputational/crisis management spend
   - Compare modeled losses against aggregate and per-occurrence limits, noting erosion risk from sublimited coverages
   - Benchmark limits against industry peers by revenue band and data volume [VERIFY current benchmark sources]

4. **Assess program structure and pricing**
   - If tower program: evaluate attachment points, follow-form consistency across excess layers, and any differences in conditions (DIC) or differences in limits (DIL) issues
   - Flag anti-stacking provisions, batch/related-claims clauses, and interrelated wrongful acts definitions that could consolidate multiple events into a single limit
   - Compare premium-per-million across layers and against market benchmarks
   - Identify retention (SIR/deductible) appropriateness relative to the insured's balance sheet and incident frequency

5. **Review exclusions and conditions for coverage disputes risk**
   - Catalog exclusions most likely to generate coverage disputes: failure to maintain minimum security standards, criminal/fraudulent acts, contractual liability, bodily injury/property damage, unencrypted device exclusions
   - Assess notice/reporting requirements — identify strict compliance conditions that could void coverage
   - Note any cooperation and subrogation obligations that impose operational burdens during active incidents

## Output

Structure the analysis report with the following sections:

- **Executive Summary**: One-page overview of coverage adequacy rating (Strong / Adequate / Gaps Identified / Inadequate), top three findings, and priority recommendations
- **Coverage Matrix**: Table mapping each insuring agreement to the insured's risk exposures, noting sublimits, retentions, and waiting periods per coverage part
- **Limit Adequacy Analysis**: Scenario-based loss modeling results with comparison to purchased limits and benchmark data
- **Terms and Conditions Review**: Annotated list of policy provisions with risk ratings (Green / Yellow / Red) based on potential to restrict or deny coverage
- **Exclusion Risk Assessment**: Ranked list of exclusions by likelihood and severity of coverage dispute
- **Program Structure Evaluation**: Visual or tabular representation of tower structure with commentary on layering efficiency and pricing
- **Recommendations**: Prioritized action items — coverage enhancements to negotiate, limit increases to pursue, endorsements to request, and alternative market options

## Quality Checks

- Every sublimit, retention, and waiting period from the declarations page is accounted for in the coverage matrix
- Loss scenarios use defensible cost assumptions with sources cited (NetDiligence, Ponemon/IBM, Verizon DBIR) [VERIFY latest study year and figures]
- Exclusion analysis references specific policy section numbers and endorsement form numbers
- Retroactive date, extended reporting period (tail), and policy period are confirmed and noted
- All jurisdictional regulatory exposure is identified — GDPR, CCPA/CPRA, HIPAA, state breach notification statutes as applicable [VERIFY relevant jurisdictions for insured's footprint]
- Recommendations distinguish between items achievable in current negotiation vs. next renewal cycle
- Report flags any areas where actuarial loss modeling or independent broker review is warranted beyond the scope of this analysis

From FDU-INS/Insurance-Skills, Apache-2.0.

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    From GitHub (fetched Oct 24, 2026).

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    License
    Apache-2.0
    First seen
    Oct 24, 2026
    Last checked
    Oct 24, 2026

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    Cite this page

    analyzing-cyber-insurance skill. Agent Mart. https://agentmart.dev/skills/fdu-ins-analyzing-cyber-insurance (last updated 2026-10-24)