SKILLEMALL.ai

AC jiejiari

Look up official Mainland China public holiday schedules and make-up workdays from bundled annual reference data. Use when the user asks about 法定节假日, 放假安排, 调休, 补班, 国务院办公厅 holiday notices, or whether a specific 2026 date is a holiday/workday around 元旦, 春节, 清明节, 劳动节, 端午节, 中秋节, and 国庆节. Distinguish official holiday arrangements from lunar festival date lookup. NOT for calendar event CRUD, reminders, or non-China holiday calendars.

ClawHub Agent Skills author: jvy v1.0.0 MIT-0 5 files body ≈ 303 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorPersonal productivityInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
C
63/100
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 63/100

    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 34 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 303 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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 431: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 34 items
    • +4Has examples (3 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This appears to be a low-risk holiday/date lookup skill, with only a minor concern that its automatic trigger may be broader than necessary.
    LLM: benign (medium) · VirusTotal: · 29 May 2026