BF ai-insurance-advisor
中国大陆保险顾问。本 skill 仅覆盖 6 项实际实现的能力：保险需求分析（needs_analyzer.py）、产品对比（premium_calculator.py + 本地 products.json）、保费计算（premium_calculator.py）、方案设计（plan_designer.py）、保险知识问答（insurance-knowledge.md）、合规要点提示（compliance.md）。不提供核保预审、理赔代办、朋友圈/营销文案生成、培训话术、代理人展业工具等能力——这些场景请转人工或调用专业服务。
中国大陆保险顾问。本 skill 仅覆盖 6 项实际实现的能力：保险需求分析（needsanalyzer.py）、产品对比（premiumcalculator.py + 本地…
As a process F 40/100 · Will not run — References files that are not bundled: references/products.json, references/*.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: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/products.json - warning
missing-refreference to a missing file: references/*.md - note
frontmatter-keyunknown frontmatter key "last_published" - note
frontmatter-keyunknown frontmatter key "permissions" - note
frontmatter-keyunknown frontmatter key "scope"
Process rating: all ten parameters 40/100
- 0Tools and files. 2 referenced file(s) missing: references/products.json, references/*.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 95 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2753 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
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
- -4Absolute local paths (C:\Users, /home/…): not portable
- -235 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 266: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 95 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.