SKILLEMALL.ai
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AD html-to-html

Clean and restructure HTML documents using MinerU. Takes messy or complex HTML and produces clean, well-formatted HTML output with proper structure preserved. Features: HTML cleanup and restructuring. Removes unnecessary markup and noise. Preserves core content structure. Produces clean HTML from cluttered web pages. Use when you need to: clean up messy HTML, restructure an HTML document, convert complex HTML to clean HTML, sanitize HTML content. Use when asked: 'how do I clean this HTML', 'make this HTML cleaner', 'I want clean HTML from this page', 'can my agent clean up HTML', 'is there a skill for HTML cleanup', 'restructure this messy HTML'. Built on MinerU by OpenDataLab (Shanghai AI Lab), an open-source document intelligence engine. Great for web developers, content migration teams, and anyone who needs to clean up HTML from legacy systems, CMS exports, or messy web scraping results.

ClawHub Agent Skills author: mzlzyCA v0.4.0 MIT-0 2 files body ≈ 406 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

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

GeneratorInfrastructureAI 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
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

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 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 11 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 406 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 903: 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: 11 items
    • +4Has examples (3 code blocks)

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

    External checks

    ClawHub: clean
    This skill is a disclosed MinerU HTML-cleanup helper that requires user-chosen inputs and a MinerU token, with no hidden code or automatic behavior found.
    LLM: benign (high) · VirusTotal: · 29 May 2026