SKILLEMALL.ai

AD extract-doc

提取 .docx/.xlsx/.pdf/图片 文档内容,转换为 Markdown 格式(支持 OCR 识别)。 这是**只读提取工具**,专注于将现有文档转换为 Markdown。 TRIGGER when: 用户要求提取文档内容、读取 Word/Excel/PDF 内容、提取图片文字、 OCR 识别、文档转 Markdown、读取需求文档、提取规格书内容、把 docx 转成 md、 把 xlsx 转成 markdown、PDF 内容提取、扫描件识别、"帮我看看这个文档里有什么"、 "把这个 Word 转成 Markdown"、"读取 Excel 里的数据"、"识别图片中的文字"。 DO NOT TRIGGER when: 用户要求**创建**或**编辑**文档(用 document-skills:docx/xlsx/pdf)、 生成新的 Word/Excel/PDF 文件、修改现有文档内容、添加表格/图表到文档、 格式化文档排版、合并多个 PDF。此 skill 仅用于**读取和提取**,不用于创建或修改。

ClawHub Agent Skills author: sinoslug v1.0.0 MIT-0 2 files body ≈ 674 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 43/100 · Unfinished process — weak spots: steps, result and completion, inputs and preconditions

ReferenceWordExcelPDFData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
86
Run on models
none yet
Process rating
D
43/100
Unfinished process
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • medium Broad scope meta-broad-allowed-tools SKILL.md:1
      Broad tool permissions pre-approved: Bash
      allowed-tools: Read Grep Glob Write Bash mcp__zai-mcp-server__extract_text_from_screenshot

    Files scanned: 2. 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 43/100

    • 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
    • 25Steps. 1 steps
    • 40Consistency. Frontmatter name (extract-doc) differs from the folder (slugtest)
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. Tools declared in frontmatter
    • 100Execution cost. Instruction body is 674 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 463: enough signal without eating the budget
    • +4Structure: 15 headings
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This skill is a coherent document-to-Markdown extractor, with important privacy cautions for OCR and temporary PDF images.
    LLM: benign (high) · VirusTotal: · 29 May 2026