SKILLEMALL.ai

BD 养老规划助手

中国养老规划AI助手。提供养老现状分析、财务缺口计算(4%法则/25倍法则)、分年龄段(30/40/50)行动方案、养老金三大支柱解读、长期护理保险政策、医疗保障配置、居住模式选择、适老化改造、法律传承准备的全面指导。Triggers: 养老规划, 准备养老, 退休规划, 养老金, 养老需要多少钱, 养老方案, 如何养老, 养老准备, retirement planning, 养老金融, 长期护理险, 长护险, 个人养老金.

ClawHub Agent Skills author: bettermen v1.0.0 MIT-0 2 files body ≈ 354 tokens Open the sourceclawhub.ai analyzed 34 h ago

中国养老规划AI助手。提供养老现状分析、财务缺口计算(4%法则/25倍法则)、分年龄段(30/40/50)行动方案、养老金三大支柱解读、长期护理保险政策、医疗保障配置、居住模式选择、适老化改造、法律传承准备的全面指导。Triggers: 养老规划, 准备养老, 退休规划, 养老金, 养老需要多少钱, 养老方案…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
52
Run on models
none yet
Process rating
D
49/100
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 中国养老规划AI助手。提供养老现状分析、财务缺口计算(4%法则/25倍法则)、分年龄段(30/40/50)行动方案、养老金三大支柱解… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (养老规划助手) differs from the folder (retirement-guide-skill)
  • 100Tools and files. No external tools needed
  • 100Steps. 48 steps
  • 100Execution cost. Instruction body is 354 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 214: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 48 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 52.

External checks

ClawHub: clean
This is a disclosed retirement-planning guidance skill with no code execution, persistence, credentials, or data transfer behavior.
LLM: benign (high) · VirusTotal: · 13 Jun 2026