SKILLEMALL.ai

AC gongwen

生成党政机关公文 docx(通知、报告、请示、批复、函、会议纪要等),内置机关通行版式规范:方正小标宋二号大标题、黑体/楷体_GB2312/仿宋_GB2312 三号层级标题、正文行距固定29磅、首行缩进32磅、页边距2.54/3.17cm,附字体检查与版式数字验收脚本。Use whenever the user wants to 起草、生成、排版、修改 任何公文、通知、报告、请示、函、纪要、红头文件,或要求 docx 按公文格式/机关格式输出 — even if they only say "写个通知""按老格式排一下" or mention 公文 in passing.

ClawHub Agent Skills author: Lucky Loo v1.0.0 MIT-0 7 files body ≈ 647 tokens Open the sourceclawhub.ai analyzed 3 d ago

生成党政机关公文 docx(通知、报告、请示、批复、函、会议纪要等),内置机关通行版式规范:方正小标宋二号大标题、黑体/楷体GB2312/仿宋GB2312 三号层级标题、正文行距固定29磅、首行缩进32磅、页边距2.54/3.17cm,附字体检查与版式数字验收脚本。Use whenever the user…

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureWordInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
52/100
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: 7. 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 52/100

    • 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
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 647 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
    • +2Single-language instructions
    • +3Description length 289: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 10 items
    • +4Has examples (1 code blocks)
    • +3All 3 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a local helper for creating and checking Chinese government-style DOCX documents, with no hidden exfiltration, destructive behavior, or persistence beyond normal installation.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026