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Sovereign document intelligence & archival system. Extracts structured data from invoices, receipts, and contracts 100% locally using AI.

通信与消息

作者:Tony Li @astonysh

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v0.1.0

统计:⭐ 0 · 397 · 1 current installs · 1 all-time installs

0

安装量(当前) 1

🛡 VirusTotal :良性 · OpenClaw :可疑

Package:astonysh/docuclaw

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :可疑

OpenClaw 评估

The skill's claims (100% local processing, CLI command, and support for cloud/back-end models) don't match the packaged content — there is no binary, install, or credential guidance, and the runtime instructions are vague, giving the agent broad discretion.

目的

The README-style description promises a CLI workflow (e.g., `docuclaw process`), local-only processing, and support for various model backends (Ollama, OpenAI Vision). But the package contains no binary, no install instructions, and no environment/credentials. A legitimate document-extraction tool would need either an installable binary/library or clear instructions and (if using cloud models) API keys — none are present.

说明范围

SKILL.md tells the agent to run a CLI command and to 'sync' extracted data to calendars/accounting tools, but gives no concrete endpoints, auth guidance, or safe limits. The instructions are high-level and open-ended, which grants the agent broad discretion to choose tools, network endpoints, or secrets to accomplish integration — more scope than the skill declares.

安装机制

There is no install spec (lowest-risk pattern), but that's inconsistent with the instruction to run a `docuclaw` CLI. Either an install step or bundled code is missing. The lack of installation artifacts makes the skill non-functional as-is and ambiguous about what would be installed or run.

证书

The skill claims support for OpenAI Vision (a cloud service) and other backends but declares no required environment variables or primary credentials. If cloud models are used, API keys would be required; if truly '100% local' is intended, there should be explicit instructions for local model setup (e.g., Ollama). The absence of either is disproportionate to the stated capabilities.

持久

The skill does not request always:true or other elevated persistence. It is user-invocable and can be called by the agent as normal, which is expected for skills. No evidence it attempts to modify other skills or global agent configuration.

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「DocuClaw」。简介:Sovereign document intelligence & archival system. Extracts structured data fro…。
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/astonysh/docuclaw/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: DocuClaw
description: Sovereign document intelligence & archival system. Extracts structured data from invoices, receipts, and contracts 100% locally using AI.
---

# DocuClaw Skill

DocuClaw provides a sovereign data infrastructure for processing and archiving documents. It uses multimodal LLMs to extract structured information from scans, photos, and emails, storing everything in human-readable, version-controllable Markdown files.

## Use Cases

- **Expense Management**: Extract totals, taxes, and dates from receipts for tax filing.
- **Contract Analysis**: Monitor expiration dates and renewal clauses in legal documents.
- **Sovereign Archival**: Maintain a local-first, GDPR/GoBD compliant archive of all physical and digital mail.
- **Unified Querying**: Ask questions about your document history without cloud exposure.

## Key Features

- **100% Local**: Zero cloud dependency. Your private data never leaves your hardware.
- **Plug-and-Play Parsers**: Extensible architecture for country-specific document formats.
- **AI-Powered**: Supports Ollama, OpenAI Vision, or any multimodal model for intelligent extraction.
- **Markdown Schema**: Normalizes all documents into a universal schema with YAML metadata.

## Workflow Example

1. **Input**: A PDF invoice or a photo of a receipt.
2. **Process**: Run `docuclaw process` to trigger AI extraction.
3. **Archive**: Document is saved to your local vault as `YYYY/MM/filename.md`.
4. **Action**: The extracted data is synced to your calendar or accounting tool.

## Integration

DocuClaw is designed to work seamlessly with the OpenClaw ecosystem, allowing AI agents to perform RAG (Retrieval-Augmented Generation) over your local document archive.