ClawVision 1.0.13 — honest data-export description, offline-only analytics, explicit permissions table.
安全
clawvision
试用ClawVision 1.0.7 — explicit permission disclosure for security audit.
它能做什么
ClawVision 1.0.7 — explicit permission disclosure for security audit.
技能文档
ClawVision 1.0.7
Turn an OpenClaw chat session into a clean, tabbed HTML infographic — like a Codex $visualize card, but local. Also exports to Markdown and a redesigned, visual PowerPoint deck. Now with aesthetic presets and a Summary Design Specification step.
What's new in 1.0.7
- Even clearer install-facing description explicitly states that the skill reads session history and writes persistent export files to disk.
- Same permission transparency, CSS-variable fix, Summary Design Specification, and 5 aesthetic presets as 1.0.6.
What's new in 1.0.6
- Improved skill description and permission transparency for ClawHub security review.
- Removed unused
skill_workshoptool permission. - Same CSS-variable fix, Summary Design Specification, and 5 aesthetic presets as 1.0.5.
What's new in 1.0.5
- CSS variable fix: the generated HTML now correctly includes
:rootcolor variables for every preset, so tabs, cards, export buttons, and theme switching render as intended. - Same Summary Design Specification and 5 aesthetic presets from 1.0.4.
What's new in 1.0.4
- Summary Design Specification — before rendering, lock in language, preset, accent color, font family, layout strategy, and export formats.
- Aesthetic presets —
minimal,editorial,retro,luxury,playful. Each preset changes colors, typography, rounding, shadows, and visual density for both HTML and PowerPoint. - Same reliable exports: self-contained HTML (EN/RU/ZH + light/dark), PNG tabs, Markdown, branded PPTX.
Only run ClawVision when the user explicitly asks for a visual/exportable summary of an OpenClaw session. Acceptable triggers include:
- "Create a ClawVision summary card for this conversation."
- "Export the current OpenClaw session to HTML/PNG/Markdown/PowerPoint."
- "Build a visual one-pager from the chat we just had."
- "Summarize session `` with ClawVision."
If the request is vague, ask the user to confirm intent and scope before proceeding.
When NOT to use
- Do not activate on generic "summarize" or "make a note" requests.
- Do not run on sessions that may contain secrets, credentials, personal data, or internal identifiers unless the user explicitly confirms it is safe to summarize and export.
Workflow
- Confirm the user's intent. If the request is vague or the session may contain sensitive content, ask for explicit confirmation before continuing.
- Pick a session. Use the current session only when the user explicitly refers to "this conversation" or the current context. Use
sessions_listif the user names another session by ID or label. - Fetch history with
sessions_history(includeTools=false, limit=200). - Build a plain-text transcript:
\n\n:for each message. - Run the Summary Design Specification step (below). Ask the user if any choices should change, otherwise default to: preset
minimal, accent#2a9df4, fontInter, layoutcard-based, language from the conversation. - Send the transcript to a local model via
node_inferencewith the summary prompt below. Parse the JSON output. - Run
scripts/generate_visual.py --summary --output --png --md --pptx --lang --presetto render:- self-contained HTML with EN/RU/ZH language switcher and light/dark theme toggle,
- one PNG per tab,
- a Markdown summary,
- a redesigned visual PowerPoint deck using the chosen preset.
- Show the user the output paths. Offer to open the HTML in
canvasif a node is connected.
Summary Design Specification
Before generating, output a compact specification and ask the user to confirm or override. Default to inference from the session language and topic.
SUMMARY SPECIFICATION
====================
1. Session language: [en | ru | zh]
2. Aesthetic preset: [minimal | editorial | retro | luxury | playful]
3. Dominant accent color: #HEX
4. Font family: [Inter | Georgia | Space Grotesk | Playfair Display | Nunito | etc.]
5. Layout strategy: [card-based | editorial-column | retro-grid | luxury-spaced | playful-stacked]
6. Export formats: [html | png | md | pptx | all]
Preset guide
| Preset | Best for | Accent examples | Rounding | Shadow | Font |
|---|---|---|---|---|---|
minimal | Clean technical summaries | blue/grey | medium | subtle | Inter / system |
editorial | Long-form insights, articles | burgundy/navy | small | flat | Georgia / serif |
retro | Nostalgia, games, old-web | orange/brown | large | hard | Space Grotesk |
luxury | Finance, premium products | gold/black | tiny | soft | Playfair Display |
playful | Education, social, onboarding | purple/green | huge | bouncy | Nunito |
Summary prompt (send via node_inference)
You are a conversation summarizer. Read the OpenClaw transcript below and return ONLY a JSON object with no markdown:
{
"title": "Short title in the conversation language",
"subtitle": "One-line context",
"main_takeaway": "The single most important conclusion",
"format_takeaway": "How the discussion was structured",
"next_takeaway": "What the next move should be",
"flow": [
{"label": "Step 1", "sub": "what happened"},
{"label": "→", "sub": ""},
{"label": "Step 2", "sub": "what happened"}
],
"metrics": [
{"title": "Goal", "text": "..."},
{"title": "Approach", "text": "..."},
{"title": "Output", "text": "..."}
],
"dos": ["good practice 1", "good practice 2"],
"donts": ["risk 1", "risk 2"],
"checklist": [
{"text": "Item name", "status": "ready|pending|blocked"}
],
"next_steps": ["action 1", "action 2"]
}
Transcript:
{{transcript}}
Output rules
- HTML must be self-contained: inline CSS and JS, no external assets. Preset font should be requested from a web-safe fallback stack.
- Include an EN/RU/ZH language switcher and light/dark theme toggle.
- Match the conversation language in the generated content.
- PowerPoint export uses the same brand colors, preset, and card layout as the HTML card.
- Default output directory is
workspace/visualized/; fall back to the user's preferred directory if that path is not writable. - Never include secrets, passwords, tokens, or private identifiers from the session.
Safety
- Confirm intent and scope before accessing session history or writing output files.
- If the conversation may contain sensitive content, ask the user first; if they decline, stop or summarize generically without exporting files.
- Do not call external APIs with the transcript.
- Review generated files before sharing them.
Roadmap
- ClawVision 1.0.7 — current stable version: explicit disk/export disclosure + permission transparency + CSS variable fix + Summary Design Specification + 5 aesthetic presets for HTML/PPTX.
- ClawVision 2.0 — planned: session analytics (message stats, tool usage, topic/entity extraction, insights, CSS-only charts).
相关技能
ClawVision 1.0.9 — explicit permission disclosure for security audit.
ClawVision 1.0.6 — improve ClawHub security review transparency by rewriting description and removing unused skill_workshop permission.
ClawVision 中文版 1.0.7 — 本地导出工具。读取你选择的 OpenClaw 会话历史,使用本地 LLM 总结,并写入 HTML、Markdown、PowerPoint 和 PNG 导出文件到本地磁盘。需要权限:读取会话历史、列出会话、本地文件读写、执行本地 Python/Playwright 脚本、本地 LLM 推理。数据不会发送到外部 API。
Companion plugin for ClawVision: add PDF, OG images, and Telegram sharing.
ClawVision East Edition 1.0.7 (中文版) — 本地导出工具。读取你选择的 OpenClaw 会话历史,使用本地 LLM 总结,并写入 HTML、Markdown、PowerPoint 和 PNG 导出文件到本地磁盘。需要权限:读取会话历史、列出会话、本地文件读写、执行本地 Python/Playwright 脚本、本地 LLM 推理。数据不会发送到外部 API。