Install
openclaw skills install @mohitagw15856/coverage-gap-analysisMap an organisation's risks against its insurance policy portfolio to find what's uncovered, underinsured, or double-covered. Use when asked to run a coverage gap analysis, review an insurance programme against a risk register, check what risks aren't insured, or audit a policy portfolio. Produces a risk-by-coverage matrix, flagged gaps and overlaps, a deductible stack review, and recommendations ranked by expected-loss severity.
openclaw skills install @mohitagw15856/coverage-gap-analysisOrganisations rarely know what they're not insured for until the loss arrives. This skill crosses the risk register against the policy portfolio and makes the gaps, the thin spots, and the accidental overlaps visible — then ranks the fixes by how badly the gap could hurt.
Ask for missing items; if no formal risk register exists, build a first-pass one from the business description and label it [draft register — validate with management]:
1. Build the matrix. Rows = risks (sweep at least: property damage, business interruption, general/products liability, professional liability, cyber incl. BI and liability, D&O, crime/fidelity, employment practices, key-person, supply-chain failure, regulatory/legal defence, environmental, terrorism/political where relevant). Columns = policies. Each cell: responds fully / responds partially (state the limiting exclusion or sublimit) / silent.
2. Flag each risk with exactly one status:
3. Deductible stack review. Sum the deductibles/retentions that could plausibly hit in the same bad year (e.g. property + BI + cyber after one event; or 2–3 uncorrelated events). Compare the stack to stated risk tolerance. A stack above tolerance is itself a finding, even with every risk "covered".
4. Rank recommendations by expected-loss severity. For each gap, band severity (catastrophic: threatens solvency / severe: > a year's profit / moderate: absorbable with pain / minor) and rough likelihood (recurring / plausible / remote). Fix order: catastrophic-plausible first; severity beats frequency — a remote solvency-threat gap outranks a frequent nuisance gap.
1. Method & sources — register used, policies reviewed, what was assumed. 2. Risk × coverage matrix — table: risk | responding policy | limit/sublimit | deductible | status flag. 3. Findings — grouped: uncovered / underinsured / double-covered / consciously retained, each with the scenario that exposes it. 4. Deductible stack — table + comparison to risk tolerance. 5. Recommendations — ranked table: # | gap | severity band | likelihood | recommended action (buy / raise limit / restructure / formally accept) | indicative priority. 6. Open questions — what needs management or broker confirmation.
End with: "This analysis is analytical support, not a coverage determination or advice to purchase. Placement and retention decisions follow your organisation's policy and the advice of your licensed broker/adviser and applicable regulation."
[to confirm] and say what the answer changes