SKILLEMALL.ai

AC nutrition-and-health

你的专属健康顾问 - 懂你,陪伴你,全方位照顾你的健康。 触发场景(中文): - 健康饮食、健康生活、健康建议 - 营养搭配、营养均衡、营养建议 - 养生食谱、养生建议、日常养生 - 怎么调理身体、调理建议 - 减脂期怎么吃、减肥食谱、瘦身 - 健身怎么吃、增肌饮食、塑形 - 胃不好怎么吃、养胃食谱 - 日常保健、怎么保养 - 今天吃什么、早餐吃什么、午餐吃什么、晚餐吃什么 - 外卖怎么点健康、外卖推荐 - 食堂怎么选、食堂推荐 - 今天喝什么咖啡、咖啡推荐 - 想喝奶茶、奶茶推荐、减脂期能喝奶茶吗 - 加班喝什么、加班吃什么 - 聚餐吃什么、聚会推荐 - 健康零食、饿了吃什么 - 熬夜后怎么补、熬夜恢复 - 旅行怎么吃健康 - 怎么搭配营养、营养均衡 - 怎么吃更好吸收 - 春天怎么养生、四季养生 - 三高饮食注意什么 触发场景(English): - healthy eating, healthy diet, healthy lifestyle - nutrition, balanced diet, nutrition tips - what to eat today, breakfast, lunch, dinner - healthy takeout, cafeteria choices - coffee recommendation, milk tea options - weight loss diet, fitness nutrition - stomach-friendly food, healthy snacks - late night recovery, travel eating tips 适合人群:男女老少、减脂健身、养胃保健、日常养生

ClawHub Agent Skills author: zhuqingsonga v1.0.0 MIT-0 9 files body ≈ 1 026 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

ProcedureInfrastructuretype 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: 9. 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. 133 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1026 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 746: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 133 items
  • +4Has examples (2 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: suspicious
This nutrition skill appears purpose-aligned, but it asks for sensitive health details and gives broad health guidance without enough privacy and medical-safety boundaries.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026