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AF kai-docx-generator

Generate professional .docx documents from Markdown text or fill data into .docx templates. Use when: converting markdown to Word, generating reports/contracts/proposals as .docx, filling template variables in Word documents, validating .docx structure. Triggers: "生成word", "转成docx", "markdown转word", "生成文档", "填充模板", "fill template", "generate docx", "convert markdown to word".

ClawHub Agent Skills author: Kaiser v1.1.1 MIT-0 69 files body ≈ 1 843 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 50/100 · Will not run — References files that are not bundled: path

GeneratorWordInfrastructureData 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
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: path
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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: 57. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: path

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: path
  • 0Tools and files. 1 referenced file(s) missing: path
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 65Failures and branches. 3 branches
  • 100Steps. 28 steps
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1843 tokens
  • low The response is described with custom markup (8 tags): a typed call is more reliable
  • medium 8 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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 6 example trigger phrases
  • +3Description length 378: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

External checks

ClawHub: clean
This skill coherently generates and fills Word documents, with normal local file parsing risks but no evidence of hidden, destructive, or exfiltrating behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026