SKILLEMALL.ai

AD shop-compliance

中小商家电商合规快速筛查工具。 基于《电子商务法》《个人信息保护法》《广告法》《消费者权益保护法》 《网络交易监督管理办法》《七日无理由退货暂行办法》等行业法规, 面向电商平台上的中小商家,5 分钟快速自查店铺合规风险。 Use when: 上新商品前检查广告用语、被投诉后自查合规、 店铺数据安全评估、直播营销前的话术检查。 🎉 v1.0.0 首发 - 免费版: - 🛒 4 大模块 12 项核心检查 - ⏱️ 5 分钟快速自查 - 📊 支持 Markdown / JSON / HTML 报告 - 🔒 纯本地运行 - 🎯 实操建议,告诉你该怎么做 触发关键词:电商合规、中小商家、商品上架、极限词、虚假宣传、 七天无理由退货、自动续费、消费者权益、客户信息保护、 隐私面单、直播话术、促销价格、营销短信 适用范围:中国大陆电商平台上的中小商家 运行模式:纯本地,无网络请求 ✅ 外部依赖:Python 标准库(无需额外安装)

ClawHub Agent Skills author: Wei Wu v1.0.0 MIT-0 11 files body ≈ 382 tokens Open the sourceclawhub.ai analyzed 3 d ago

中小商家电商合规快速筛查工具。 基于《电子商务法》《个人信息保护法》《广告法》《消费者权益保护法》 《网络交易监督管理办法》《七日无理由退货暂行办法》等行业法规, 面向电商平台上的中小商家,5 分钟快速自查店铺合规风险。 Use when: 上新商品前检查广告用语、被投诉后自查合规、…

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

ProcedureSecuritySoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
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: 11. 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 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
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 13 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 382 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 423: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (1 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This skill is a local Chinese e-commerce compliance checklist that asks user-directed questions and can save local reports, with no evidence of hidden network access or unsafe persistence.
    LLM: benign (high) · VirusTotal: · 27 Jul 2026