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AC word-cursor-insert

写报告时，把选中的一段话或 Excel/CSV 文件等内容，直接插进当前打开的 Word 光标处。文本和表格都能插，我会根据光标处语境判断该填成数字、文字还是表格，一次就插到位，重复执行也不会多插，几乎瞬间完成。告别手动复制粘贴。

ClawHub Agent Skills author: 183347986 v1.0.2 MIT-0 5 files body ≈ 1 526 tokens Open the sourceclawhub.ai↗ analyzed 25 h ago

写报告时，把选中的一段话或 Excel/CSV 文件等内容，直接插进当前打开的 Word 光标处。文本和表格都能插，我会根据光标处语境判断该填成数字、文字还是表格，一次就插到位，重复执行也不会多插，几乎瞬间完成。告别手动复制粘贴。

As a process C 57/100 · Has gaps — weak spots: result and completion, failures and branches, progress reporting

ProcedureExcelData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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 57/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 30 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1526 tokens
    • 100Running it twice. Mutating operations check current state

    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)
    • +3Description length 115: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

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

    External checks

    ClawHub: suspicious
    The skill does what it claims, but it can modify a live Word document and unnecessarily prints nearby document text and inserted table rows to stdout, which may expose sensitive content in logs.
    LLM: suspicious (high) · 2 Aug 2026