技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 21 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：挂起 · OpenClaw ：良性
Package：c7934597/akashic-doc-analyzer
安全扫描（ClawHub）
- VirusTotal ：挂起
- OpenClaw ：良性
OpenClaw 评估
The skill is internally consistent: it's an instruction-only document processor that delegates work to an Akashic platform connector and does not request unrelated credentials, installs, or system access beyond asking for document paths/uploads.
目的
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.
说明范围
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.
安装机制
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.
证书
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.
持久
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.
综合结论
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 document…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Akashic Doc Analyzer」。简介：Parse, analyze, and extract content from documents (PDF, DOCX, PPTX, audio). Su…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/c7934597/akashic-doc-analyzer/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: akashic-doc-analyzer
version: 1.0.0
description: Parse, analyze, and extract content from documents (PDF, DOCX, PPTX, audio). Supports OCR, table extraction, and semantic chunking.
tags:
- document
- pdf
- docx
- pptx
- ocr
- extraction
- analysis
triggers:
- analyze document
- parse document
- read pdf
- extract from
- summarize document
- process file
tools:
- mcp:akashic:process_document
- mcp:akashic:chat_completion
- mcp:akashic:translate_content
requires:
mcp:
- akashic
---
# 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`