SKILLEMALL.ai

BD cue-insurance-marketing

用 Cue 跑「保险营销」场景的深度研究:横向比对目标保险产品与竞品在保障、收益、服务与适配场景上的差异,扫描热点事件自动映射保险需求。覆盖保险产品对比指南、保险营销线索日报、产品适当性核查、条款核查、合规红线速查等核心搭子,产出可直接用于客户沟通的选型对比、朋友圈文案与营销线索,守住「可如实说明」的合规边界。

ClawHub Agent Skills author: wangxiaoxu v1.0.1 MIT-0 2 files body ≈ 520 tokens Open the sourceclawhub.ai analyzed 2 d ago

用 Cue 跑「保险营销」场景的深度研究:横向比对目标保险产品与竞品在保障、收益、服务与适配场景上的差异,扫描热点事件自动映射保险需求。覆盖保险产品对比指南、保险营销线索日报、产品适当性核查、条款核查、合规红线速查等核心搭子,产出可直接用于客户沟通的选型对比、朋友圈文案与营销线索,守住「可如实说明」的合规边界。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 520 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
  • +2Single-language instructions
  • +3Description length 156: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a disclosed Cue-based insurance marketing research workflow that uses a remote runner and API key, but its access is purpose-aligned and user-confirmed before spending credits.
LLM: benign (medium) · VirusTotal: · 11 Aug 2026