SKILLEMALL.ai

AD 找月嫂

月嫂服务预约助手,帮助用户快速找到合适的月嫂,提供专业母婴护理服务。支持场景:① 产前护理(孕期照护指导)② 产后坐月子(月子餐、产后恢复、日常护理)③ 新生儿护理(喂养、抚触、早教)。覆盖全国30+城市(北京、上海、广州、深圳、杭州、成都等),用户只需告知城市和预产期即可智能匹配当地优质月嫂资源,支持26天、42天等不同服务周期灵活选择,可根据预算推荐合适月嫂。触发词:找月嫂、需要月嫂、请月嫂、月嫂服务、预约月嫂、月嫂预约、月嫂护理、找月嫂阿姨、找月子护理、月嫂推荐、推荐月嫂、找产后护理、月子护理、母婴护理、产前护理、产后照护、照顾月子、坐月子找人、月子保姆、月嫂价格咨询并预约。不触发:仅询问月嫂价格行情(如"月嫂多少钱")、询问月嫂培训考证(如"怎么考月嫂证")、应聘月嫂岗位(如"我想做月嫂")。

ClawHub Agent Skills author: dj-skillhub v1.0.5 MIT-0 6 files · 1 script body ≈ 1 086 tokens Open the sourceclawhub.ai analyzed 3 d ago

月嫂服务预约助手,帮助用户快速找到合适的月嫂,提供专业母婴护理服务。支持场景:① 产前护理(孕期照护指导)② 产后坐月子(月子餐、产后恢复、日常护理)③…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
D
46/100
Unfinished process
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 46/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (找月嫂) differs from the folder (zhaoyuesao)
    • 100Tools and files. No external tools needed
    • 100Steps. 35 steps
    • 100Execution cost. Instruction body is 1086 tokens

    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)
    • +3Output format is not stated: the model decides each time
    • -224 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +3Description length 355: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 35 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    This skill performs a coherent moon-sitter booking workflow, but it handles sensitive personal and SMS verification data with under-disclosed backend routing and logging concerns.
    LLM: suspicious (high) · VirusTotal: · 5 Jun 2026