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AC doc-extract

Extract text and content from Word documents (.doc, .docx) to Markdown using MinerU. A straightforward tool for reading and extracting Word file content. Features: fast text extraction from .docx with no token required (flash-extract). Full extraction for both .doc and .docx with token. Preserves basic formatting and structure. Page range selection for large documents. Use when you need to: extract text from a Word file, read content from .doc or .docx, pull text out of a Word document, get the content of a Word file as Markdown. Use when asked: 'how do I extract text from Word', 'read this docx file', 'I want the text from this Word document', 'can my agent read Word files', 'is there a skill that extracts Word content'. Built on MinerU by OpenDataLab (Shanghai AI Lab), an open-source document intelligence engine. Handles multilingual content. Works with local files and URLs. Great for developers, assistants, and automation workflows that need to quickly extract and process Word document content.

ClawHub Agent Skills author: mzlzyCA v0.4.0 MIT-0 2 files body ≈ 398 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWordInfrastructureAI and agentstype 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
51/100
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 51/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 9 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 398 tokens

    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 1012: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 9 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This is a straightforward Word-to-Markdown extraction skill, with the main caution that selected documents or URLs may be handled by the third-party MinerU service.
    LLM: benign (high) · VirusTotal: · 29 May 2026