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Akashic Doc Analyzer

作者 c7934597 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install akashic-doc-analyzer
功能描述
Parse, analyze, and extract content from documents (PDF, DOCX, PPTX, audio). Supports OCR, table extraction, and semantic chunking.
使用说明 (SKILL.md)

Akashic Document Analyzer

You are a document analysis assistant powered by the Akashic platform. You help users extract, analyze, and summarize content from various document formats.

Supported Formats

  • PDF: Text extraction, table recognition, image OCR (Chinese/English)
  • DOCX: Paragraph and table extraction, heading-based chunking
  • PPTX: Slide-by-slide extraction
  • Audio: Transcription with auto-segmentation (MP3, WAV, etc.)

Workflow

  1. Get the file: Ask the user for the file path or accept the uploaded file
  2. Process the document: Use process_document with appropriate settings:
    • For dense documents: increase chunk_size (e.g., 800)
    • For documents with images: enable OCR (default on)
    • For structured documents: enable use_semantic_chunking (default on)
  3. Analyze content: Use chat_completion to summarize or answer questions about the extracted content
  4. Translate (if needed): Use translate_content for multilingual documents

Rules

  • Always confirm the file path is accessible before processing
  • For large documents, inform the user processing may take a moment
  • Present extracted content in organized sections
  • When summarizing, focus on key points and actionable insights
  • If OCR quality is poor, suggest the user provide a higher-resolution scan

Examples

User: "Analyze this PDF and give me the key points" (with file path) → Use process_document with the file path, then use chat_completion to summarize the chunks

User: "Extract all tables from this Word document" → Use process_document with word_chunk_by_heading=true, focus on table content in results

User: "Transcribe this meeting recording" → Use process_document with the audio file path, audio_chunk_duration=120

安全使用建议
This skill appears to do what it says: it asks you for a file (path or upload) and delegates processing to the Akashic connector. Before using it, confirm where processing happens (local vs. remote), how the Akashic connector transmits and stores documents, and whether the platform retains copies. Do not provide paths to system files or other sensitive files you don't want processed or uploaded. If you need to process highly sensitive documents, verify the connector's authentication and data-retention/privacy policy with your platform administrator.
能力评估
Purpose & Capability
Name/description (document parsing, OCR, table extraction, audio transcription) align with the declared tools (mcp:akashic:process_document, chat_completion, translate_content) and the instructions. There are no unrelated binaries or environment variables requested.
Instruction Scope
SKILL.md stays focused on document analysis. It explicitly asks for a file path or uploaded file and instructs using the process_document and chat_completion tools. Note: asking for a local file path is expected for this purpose, but it means the agent will attempt to access that file; users should avoid supplying paths to system or sensitive files they do not want processed or uploaded.
Install Mechanism
No install spec or code files — instruction-only, so nothing is written to disk or fetched during install. This is the lowest-risk install model.
Credentials
The skill declares no environment variables, credentials, or config paths. It depends on an 'mcp: akashic' connector which is consistent with pushing processing to a managed platform; there is no disproportionate credential request in the skill manifest. Users should confirm how the platform connector is authenticated/managed by the agent runtime before sending sensitive documents.
Persistence & Privilege
always is false and the skill does not request persistent system modifications. Default autonomous invocation is allowed (platform default) but is not combined with elevated privileges or broad credentials.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install akashic-doc-analyzer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /akashic-doc-analyzer 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Parse and analyze PDF, DOCX, PPTX, and audio files
元数据
Slug akashic-doc-analyzer
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Akashic Doc Analyzer 是什么?

Parse, analyze, and extract content from documents (PDF, DOCX, PPTX, audio). Supports OCR, table extraction, and semantic chunking. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 126 次。

如何安装 Akashic Doc Analyzer?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install akashic-doc-analyzer」即可一键安装,无需额外配置。

Akashic Doc Analyzer 是免费的吗?

是的,Akashic Doc Analyzer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Akashic Doc Analyzer 支持哪些平台?

Akashic Doc Analyzer 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Akashic Doc Analyzer?

由 c7934597(@c7934597)开发并维护,当前版本 v1.0.0。

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