SKILLEMALL.ai

AC cn-holiday-reminder

中国法定节假日查询与主动提醒 + 恋爱助手。内置节假日和调休数据,支持查询任意日期是否上班、 下一个假期、全年日历,并可通过 cron 自动提醒。恋爱助手模块支持纪念日倒计时(精确到秒)、 生日提醒、自定义纪念日、浪漫节日提醒(情人节/白色情人节/女神节/520/七夕/圣诞等)。 Use when: 用户说"明天上班吗"、"下一个假期"、"放假安排"、"设置节假日提醒"、 "在一起多久了"、"设置恋爱助手"、"纪念日"、"TA生日是什么时候"、"下个情人节", 或任何节假日、调休、恋爱纪念日相关的问题。

ClawHub Agent Skills author: ironmanc2014 v1.1.0 MIT-0 5 files body ≈ 736 tokens Open the sourceclawhub.ai analyzed 4 d ago

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
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
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

    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

    ✓ No remarks against the Agent Skills spec

    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. 15 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 736 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

    • +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
    • +5Description quotes 4 example trigger phrases
    • +3Description length 254: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 15 items
    • +4Has examples (5 code blocks)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This skill is a disclosed holiday and relationship reminder, but users should understand it stores relationship details locally and may send reminders through Feishu if configured.
    LLM: benign (high) · VirusTotal: · 29 May 2026