SKILLEMALL.ai

AC foolproof-kitchen

傻瓜厨房:根据用户身体数值和现有食材调料厨具,参照中国居民膳食指南自动生成早中晚加餐快手健康食谱,10-15分钟分步操作指南,厨房零基础可用。适合人群:厨房新手、减脂增肌人群、上班族、独居一人食、特殊饮食需求者(糖尿病/高血压/孕期等)。This skill should be used when the user provides personal body metrics, available ingredients, seasonings, and cooking tools, and asks for healthy quick meal planning or recipe generation.

ClawHub Agent Skills author: mayabts v1.0.0 MIT-0 5 files body ≈ 813 tokens Open the sourceclawhub.ai analyzed 2 d ago

傻瓜厨房:根据用户身体数值和现有食材调料厨具,参照中国居民膳食指南自动生成早中晚加餐快手健康食谱,10-15分钟分步操作指南,厨房零基础可用。适合人群:厨房新手、减脂增肌人群、上班族、独居一人食、特殊饮食需求者(糖尿病/高血压/孕期等)。This skill should be used when the user…

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
59/100
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

    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

    • note frontmatter-key unknown frontmatter key "agent_created"
    • note frontmatter-key unknown frontmatter key "disable"

    Process rating: all ten parameters 59/100

    • 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
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 65 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 813 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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 307: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 65 items
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: suspicious
    The skill is coherent as a meal-planning tool, but it needs Review because it handles sensitive health/body data, saves it into an HTML page, and loads third-party JavaScript without adequate disclosure or safeguards.
    LLM: suspicious (high) · 9 Aug 2026