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AC you-inc-life-ops

多智能体个人生活运营系统（YOU Inc.）。将个人生活视为公司运营，通过12个专业化Agent角色在身心健康、情绪社交、工作成长、精神爱好四个维度实现全方位自我管理。使用场景：(1) 任务拆解与对抗拖延 (2) 知识提炼与学习 (3) 情绪支持与心理疏导 (4) 健康管理与饮食运动建议 (5) 财务记账与订阅管理 (6) 亲密关系维护 (7) 娱乐推荐与休息规划 (8) 职业发展与个人品牌 (9) 兴趣爱好培养 (10) 审美体验与生活仪式感 (11) 人生方向反思 (12) 危机应急处理。这是一个个人生活管家系统，请通过语义理解用户意图来触发对应的Agent，而不是依赖关键词匹配。用户会用自然语言表达状态和需求。

ClawHub Agent Skills author: zabr1314 v1.2.0 MIT-0 22 files body ≈ 463 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

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

ProcedureObsidianInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
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: 22. 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 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. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 463 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 312: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 16 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: 76.

External checks

ClawHub: suspicious
This looks like a legitimate life-management skill, but it needs review because it persistently stores sensitive personal details and can automatically use other skills to access or change private notes, calendars, health data, and email.
LLM: suspicious (high) · VirusTotal: · 29 May 2026