SKILLEMALL.ai
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AC pdf-to-text

Extract plain text from PDF documents using the MinerU API. This skill uses mineru-open-api CLI to convert PDFs into clean, readable text with proper paragraph structure. Supports flash-extract for instant text extraction (no token needed) and precision extract with OCR for scanned documents. Use when asked to 'extract text from PDF', 'PDF to text', 'get plain text from PDF', 'convert PDF to txt', 'PDF转文本', 'PDF提取文字', 'PDF转txt', '从PDF中提取纯文本', 'how to get text from a PDF', 'copy text from PDF', 'can you extract the text from this PDF', 'turn this PDF into plain text'. Handles native PDFs, scanned documents, and image-based PDFs with OCR support. Ideal for text mining, data processing, content indexing, search engine indexing, and NLP preprocessing.

ClawHub Agent Skills author: veeicwgy v0.2.0 MIT-0 2 files body ≈ 292 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationPDFInfrastructuretype 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
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
53/100
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 "tools"

    Process rating: all ten parameters 53/100

    • 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
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 292 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 757: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 10 items
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This skill does what it says: it uses the MinerU CLI/API to extract text from PDFs, with ordinary privacy and package-install considerations.
    LLM: benign (high) · VirusTotal: · 29 May 2026