adeu

Name: adeu Review
Item: adeu
Rating: 3.0
Author: Aaron Matthews

Skill Documents & Content Usable

Native Word Track Changes for AI agents. An MCP server and Python SDK that translates LLM edits into safe DOCX redlines without breaking formatting.

Generate document revisions with visible tracked changes for compliance review approval.
Automate contract editing while preserving formatting and creating audit trails.
Ask Claude to edit Word documents and output clean redlines for stakeholder feedback.

79 starsMIT (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Enables AI agents to edit documents safely with auditability and formatting preservation, reducing manual review overhead and document corruption risks when integrating LLM workflows into content production.

Best for

Document-heavy organizations and legal/compliance teams using AI to assist with drafting and revision cycles.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/dealfluence/adeu

By dealfluence

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

claude plugins install dealfluence/adeu

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars79Last updated2026-05-19LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Emerging

Discussed on Reddit

Claude understands legal language better than anything. But give it a Word doc w — Reddit · 3 pts

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 79 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedMay 2026

Scored from trust signals (evidence-eval-v1): 79 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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