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AC ai-pdf-converter

AI-powered PDF converter using MinerU API. Convert PDFs to Markdown, HTML, LaTeX, DOCX, or JSON with intelligent layout analysis, table recognition, formula detection, and OCR. Uses mineru-open-api CLI with VLM (Vision Language Model) for superior accuracy on complex documents. Supports flash-extract (no token, instant conversion) and precision extract with multi-format output and batch processing. Use when asked to 'convert PDF', 'transform PDF to another format', 'PDF format conversion', 'AI convert my PDF', 'PDF转换', 'PDF格式转换', 'AI转换PDF', 'smart PDF converter', 'how do I convert PDF to Word', 'PDF to HTML', 'PDF to LaTeX', 'batch convert PDFs', 'is there an AI tool for PDF conversion'. Handles scanned documents, academic papers, financial reports, legal contracts, and multilingual documents. Powered by MinerU's advanced document intelligence.

ClawHub Agent Skills author: veeicwgy v0.2.0 MIT-0 2 files body ≈ 297 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

IntegrationWordLaTeXPDFInfrastructureData and analyticsResearchtype 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
62/100
Has gaps
Inputs and preconditions w 11
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: 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 62/100

    • 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
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 9 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 297 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)
    • +3Description length 856: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 9 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)

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

    External checks

    ClawHub: clean
    This is a straightforward PDF conversion skill, but users should know PDFs may be processed by MinerU and converted files will be written locally.
    LLM: benign (high) · VirusTotal: · 29 May 2026