SKILLEMALL.ai

BD hky-insure-risk-report

养老与传承标准化风险分析报告生成 Skill。读取一份结构化的养老与传承面谈纪要,一键产出标准化风险评估报告:家庭架构图(Pillow 生成 PNG,虚线框留白)、人·权·财三主线分析(普通家庭)或"两道防火墙"(特殊需要子女家庭)、基本信息与资产盘点表、资金与意愿表、P0-P3 风险排序 + 五角度交叉分析、法律释义出处、工具矩阵(只给方向)、风险盘点总表、二次沟通议程。暖黄 1.0 版。报告只讲风险与逻辑,不推具体产品。

ClawHub Agent Skills author: hukaiyi777 v0.1.2 MIT-0 7 files body ≈ 1 093 tokens Open the sourceclawhub.ai analyzed 2 d ago

养老与传承标准化风险分析报告生成 Skill。读取一份结构化的养老与传承面谈纪要,一键产出标准化风险评估报告:家庭架构图(Pillow 生成 PNG,虚线框留白)、人·权·财三主线分析(普通家庭)或"两道防火墙"(特殊需要子女家庭)、基本信息与资产盘点表、资金与意愿表、P0-P3 风险排序 +…

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

ProcedureData and analyticstype 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: 6. 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. 44 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1093 tokens
  • 100Running it twice. No mutating operations
  • low 11 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
  • +2Single-language instructions
  • +3Description length 214: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 44 items
  • +4Has examples (2 code blocks)
  • +1License stated

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

External checks

ClawHub: clean
This skill coherently generates local pension and inheritance risk reports, with disclosed sensitive-data handling risks users should manage.
LLM: benign (high) · VirusTotal: · 18 Aug 2026