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AC pdf-to-html

Convert PDF documents to HTML using MinerU. Transforms PDF files into web-ready HTML with structure and formatting preserved. Features: PDF to HTML conversion with layout preservation. Handles text, tables, images, and formatting. Supports local files and URLs. Token-based extraction for full features. Use when you need to: convert a PDF to HTML, turn a PDF into a web page, generate HTML from a PDF document, publish PDF content on the web. Use when asked: 'how do I convert PDF to HTML', 'turn this PDF into HTML', 'I want to view this PDF as a web page', 'can my agent convert PDF to HTML', 'is there a skill for PDF to HTML conversion'. Built on MinerU by OpenDataLab (Shanghai AI Lab), an open-source document intelligence engine. Perfect for web publishers, content teams, and developers who need to convert PDF documents into HTML for web display, CMS integration, or online archives.

ClawHub Agent Skills author: mzlzyCA v0.4.0 MIT-0 2 files body ≈ 337 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 59/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

GeneratorPDFInfrastructureAI 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
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
59/100
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 "homepage"

    Process rating: all ten parameters 59/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 9 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 337 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 893: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 9 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)

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

    External checks

    ClawHub: clean
    This is a straightforward PDF-to-HTML helper for MinerU, with normal external CLI and token risks but no hidden or destructive behavior in the artifact.
    LLM: benign (high) · VirusTotal: · 29 May 2026