skills/finance/analyzing-premium-pricing/SKILL.md
Structures actuarial pricing analysis with loss cost estimation, expense loading, and rate adequacy testing. Use when analyzing premium rates, calculating rate indications, or assessing pricing adequacy.
npx skillsauth add casemark/skills analyzing-premium-pricingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Structures actuarial pricing analysis with loss cost estimation, expense loading, and rate adequacy testing.
On-level premium — Restate historical earned premiums to current rate level using cumulative rate change factors. Verify each rate change effective date and confirm whether changes were applied uniformly or varied by sub-segment.
Develop losses to ultimate — Apply selected loss development factors to each accident year. If using a blend of methods (paid vs. incurred, chain-ladder vs. Bornhuetter-Ferguson), document selections and rationale. Flag any years with large losses or abnormal development patterns.
Trend losses to prospective period — Apply annual frequency and severity trend factors to bring ultimate losses from historical midpoint to the future policy period midpoint. State the trend period explicitly (e.g., from AY 2022 midpoint to prospective period midpoint of 7/1/2027). [VERIFY trend selections against industry studies or internal actuarial memoranda]
Calculate pure loss cost indication — Divide trended ultimate losses by on-level earned premium for each year to produce loss ratios. Select an all-year weighted or ex-cat weighted average, excluding or capping anomalous years with stated justification.
Apply expense and profit loading — Build up the permissible loss ratio:
Derive rate indication — Indicated rate change = (selected loss ratio ÷ permissible loss ratio) − 1.0. Express as a percentage change. Break out the indication by major drivers (loss trend, development, expense changes, profit target adjustment).
Assess rate adequacy — Compare indicated premium to current charged premium. Identify segments where adequacy diverges materially. If reinsurance pricing is in scope, evaluate the adequacy of ceding commissions relative to underlying expense loads and loss experience.
Sensitivity testing — Test key assumptions:
tools
Audits the complete in-scope medical-record universe in a litigation matter and produces an attorney-facing, Bates-cited analysis of treatment gaps, missing records or providers, baseline coverage, material billing or production mismatches, and complaint evolution. Use when asked to find missing medical records, analyze treatment gaps or first-care timing, identify absent providers, assess whether a production is complete, or prepare a records-request target list. Use medical-record-chronology instead when the primary request is a chronological clinical narrative.
development
Drafts a legally compliant Private Placement Memorandum for Regulation D offerings (Rule 506(b)/506(c)), covering full disclosure framework including risk factors, capitalization, securities terms, use of proceeds, and investor qualification requirements. Enforces SEC anti-fraud compliance under Section 10(b)/Rule 10b-5, blue sky law considerations, and accredited investor verification under Rule 501. Use this skill when drafting PPMs, offering memorandums, Reg D disclosure documents, or private offering circulars for issuers raising capital from sophisticated investors. Also trigger when the user mentions private placement disclosure, offering memorandum, Reg D fundraising, or accredited investor verification. Even if the user just says "PPM" or "draft our offering memo," use this skill.
data-ai
Generates structured privacy and data protection law briefings across US, EU, UK, and other jurisdictions. Organizes by jurisdiction with compliance deadlines, enforcement actions, and legislative changes. Use when preparing privacy law briefings, compliance updates, regulatory change summaries, or data protection landscape reviews.
testing
Generates structured summaries of prior art references for patent prosecution, validity analysis, and freedom-to-operate assessments. Maps disclosures to claim elements with precise citations. Use when summarizing prior art, analyzing patent landscapes, mapping references to claims, or preparing office action responses.