SKILLEMALL.ai

AC life-balance-optimizer

全方位生活满意度与平衡优化助手。覆盖人生轮盘8维度评估(身体健康/心理情绪/人际关系/工作事业/财务状况/学习成长/休闲娱乐/生活环境)、倦怠预警检查、季度深度反思、习惯调整建议、历史趋势追踪。生成交互式HTML可视化报告,含雷达图、优劣势分析、P0-P2优先级行动计划。用于生活审计、季度回顾、预防倦怠、常规重置、系统性自我提升。触发词:生活审计, 人生轮盘, 生活平衡, 防止倦怠, 季度反思, 习惯调整, 自我提升, 生活满意度, life audit, wheel of life, burnout check, 生活打分, 生活评估。

ClawHub Agent Skills author: bettermen v1.0.0 MIT-0 5 files body ≈ 729 tokens Open the sourceclawhub.ai analyzed 30 h ago

全方位生活满意度与平衡优化助手。覆盖人生轮盘8维度评估(身体健康/心理情绪/人际关系/工作事业/财务状况/学习成长/休闲娱乐/生活环境)、倦怠预警检查、季度深度反思、习惯调整建议、历史趋势追踪。生成交互式HTML可视化报告,含雷达图、优劣势分析、P0-P2优先级行动计划。用于生活审计、季度回顾、预防倦怠、常规重置、系…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 5. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 50 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 729 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 272: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 50 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill appears purpose-built for life-balance reports, but it should be reviewed because sensitive wellness notes are saved in the browser while third-party JavaScript is loaded.
LLM: suspicious (medium) · VirusTotal: · 21 Jun 2026