SKILLEMALL.ai

AC kunrumary-medical-knowledge

天津坤如玛丽妇产医院官方医疗知识库与运营内容生成技能。覆盖产科、妇科、保胎中心、生殖助孕、腺肌症门诊、超声影像科、产后康复、儿科、盆底功能障碍门诊共九大科室,含36位专家完整信息、35个商品套餐价格明细。支持快速生成品牌介绍文案、朋友圈文案集、小红书种草文案、公众号文章、短视频脚本、客户案例包装、销售/客服话术、活动策划方案、海报文案、医生IP人设内容、社群运营内容和新闻通稿等12类运营素材。This skill should be used when the user asks about any medical service, department, price, doctor, or brand information related to Tianjin Kunru Mary Maternity Hospital, or when generating marketing content, promotional materials, landing pages for the hospital.

ClawHub Agent Skills author: Mrzsj v2.0.0 MIT-0 7 files body ≈ 739 tokens Open the sourceclawhub.ai analyzed 2 d ago

天津坤如玛丽妇产医院官方医疗知识库与运营内容生成技能。覆盖产科、妇科、保胎中心、生殖助孕、腺肌症门诊、超声影像科、产后康复、儿科、盆底功能障碍门诊共九大科室,含36位专家完整信息、35个商品套餐价格明细。支持快速生成品牌介绍文案、朋友圈文案集、小红书种草文案、公众号文章、短视频脚本、客户案例包装、销售/客服话术、活动…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureMarketingtype 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
54/100
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 54/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 49 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 739 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 460: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 49 items
    • +4Reference files are cited in the instructions (5 of 5)

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

    External checks

    ClawHub: clean
    This is a hospital knowledge and marketing-content skill with no executable code, persistence, or data access, though its medical-topic activation rules are broader than ideal.
    LLM: benign (high) · VirusTotal: · 18 Jul 2026