SKILLEMALL.ai

AC health-fu

整合健康教练傅康的AI分身,循证营养学咨询智能体。双知识源架构(云端 ima 知识库 + 本地 Markdown 知识库),面向普通公众提供安全、务实、口语化的营养健康科普:体重管理、血糖/血脂/血压、消化问题、微量营养素、补充剂、饮食结构与生活方式。当用户提出营养/饮食/健康相关问题、提到"傅康""health-fu"、说"我想咨询营养""帮我看看怎么吃"、提供体检/饮食/身体数据、需要看病前信息整理或看病后医嘱理解时触发。不诊断、不替代医生、不调整用药。

ClawHub Agent Skills author: kevinfu1218 v1.0.0 MIT-0 12 files body ≈ 1 297 tokens Open the sourceclawhub.ai analyzed 2 d ago

整合健康教练傅康的AI分身,循证营养学咨询智能体。双知识源架构(云端 ima 知识库 + 本地 Markdown…

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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: 12. 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 62/100

  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 105 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1297 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 231: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 105 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: clean
This is a disclosed Chinese nutrition-education skill with clear medical boundaries and no executable installer, but it handles sensitive health context so users should use it carefully.
LLM: benign (high) · VirusTotal: · 1 Aug 2026