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AB html-ppt-to-pdf

Convert any HTML slide deck that uses the `<section class="slide">` convention into a high-fidelity, vector-text PDF using Playwright + Chromium's native `page.pdf()`. Supports decks from the `html-ppt` skill, `frontend-slides` / `frontend-design` skill, and any hand-written HTML that follows the same convention. Triggers on requests like "把 HTML PPT 转 PDF", "这个 HTML 幻灯片导出 PDF", "HTML 转 PDF 出现字体失真/页码错乱/丢页重页/部分内容看不见". DO NOT use for plain web pages (use browser print), Markdown (use pandoc), or `.pptx` (use the pptx skill).

ClawHub Agent Skills author: DTacheng v1.0.0 MIT-0 10 files body ≈ 698 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process B 76/100 · Nearly there — weak spots: result and completion, progress reporting

GeneratorPowerPointPlaywrightSoftware developmentInfrastructuretype 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
96/100
safety, quality, tests
Safety 60%
98
Quality 40%
97
Run on models
none yet
Process rating
B
76/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Failures and branches w 10
50
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Secrets in code secret-high-entropy-token scripts/package-lock.json:30
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…ZPC+taih…dxR/LKBa…Qnt+ViGvEIQ==",
      detector
    • low Secrets in code secret-high-entropy-token scripts/package-lock.json:39
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…uWm+fFRcIOgKBMiOBP+eXiy…9ab+DDKA==",
      quoted

    Files scanned: 7. 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 76/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 23 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 698 tokens
    • 100Running it twice. No mutating operations
    • low The response is described with custom markup (3 tags): a typed call is more reliable
    • medium 1 test cases, all positive: not one "should refuse" or "should ask first"

    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

    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 528: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (1 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 97.

    External checks

    ClawHub: clean
    This skill is a coherent local HTML-slide-to-PDF converter, with expected browser/network caveats but no artifact-backed malicious behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026