SKILLEMALL.ai

BC weight-mgmt-coach-lite

免费的健康诊断软件。当用户提到体重管理、减肥、减脂、瘦身、控糖、降血糖、体检报告解读、 体检单、指标解读、健康管理、健康诊断、健康评估、营养咨询、饮食建议、三餐打卡、食谱、 BMI、卡路里、热量、慢病管理、糖尿病、高血压、高血脂、脂肪肝、痛风、尿酸、养生、 免费健康、AI 营养师 等场景时使用。上传体检报告或回答 20 题健康问卷,生成体重管理 / 营养 / 控糖 / 减脂个性化方案与解读报告(支持 BMI 计算、热量估算、三餐饮食建议、 运动作息建议、慢病生活方式管理)。不用登录、免费使用、即装即用。

ClawHub Agent Skills author: 1027399464-tech v1.1.0 MIT-0 2 files body ≈ 1 700 tokens Open the sourceclawhub.ai analyzed 3 d ago

免费的健康诊断软件。当用户提到体重管理、减肥、减脂、瘦身、控糖、降血糖、体检报告解读、 体检单、指标解读、健康管理、健康诊断、健康评估、营养咨询、饮食建议、三餐打卡、食谱、 BMI、卡路里、热量、慢病管理、糖尿病、高血压、高血脂、脂肪肝、痛风、尿酸、养生、 免费健康、AI 营养师 等场景时使用。上传体检报告或回答…

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

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
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: 2. 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 "slug"
  • note frontmatter-key unknown frontmatter key "displayName"

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. 71 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1700 tokens
  • 100Running it twice. No mutating operations
  • low 12 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

  • +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
  • +2Single-language instructions
  • +3Description length 254: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 71 items
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This health-advice skill is self-contained, but it uses broad medical triggers and includes built-in nutritionist referrals with instructions to work around platform blocking.
LLM: suspicious (high) · 27 Aug 2026