BF China Insurance Actuarial Pricing Expert
AI-powered China insurance actuarial pricing skill — uses the 4th Life Table (2025, effective 2026-01-01) and C-ROSS Phase II (Rules II 2024) framework. Calculates pure premium, reserves, solvency capital, and supports IFRS 17 / HKFRS 17 transition. Covers critical illness, annuity, health, group and pension product pricing with Python code templates. Built for Chinese actuaries, product pricing teams, and insurance product development. Keywords: actuarial, pricing, life table 2025, C-ROSS, IFRS 17, China insurance, solvency capital, insurance product design, 精算定价, 保险产品开发, 产品定价, 准备金计算, 偿二代, 第四套生命表, 重疾险, 年金险, 医疗险, Python建模, 精算模型.
As a process F 31/100 · Will not run — References files that are not bundled: references/life_table_2025.md, references/pricing_models.md, references/reserve_ifrs17.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/life_table_2025.md - warning
missing-refreference to a missing file: references/pricing_models.md - warning
missing-refreference to a missing file: references/reserve_ifrs17.md - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "capabilities"
Process rating: all ten parameters 31/100
- 0Tools and files. 3 referenced file(s) missing: references/life_table_2025.md, references/pricing_models.md, references/reserve_ifrs17.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (China Insurance Actuarial Pricing Expert) differs from the folder (insurance-actuarial-cn)
- 100Steps. 13 steps
- 100Execution cost. Instruction body is 2124 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 636: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.