word-comments-extractorExtract comments from Word documents and format them into standardized review opinions. Auto-matches page numbers, agent-powered semantic polishing. Designed...
Install via ClawdBot CLI:
clawdbot install tomyan-zhang/word-comments-extractorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/openclaw/openclawAudited Apr 17, 2026 · audit v1.0
Generated May 20, 2026
Automates extraction and polishing of comments from Word documents during quality control reviews of financial reports, ensuring standardized language and consistent feedback for deal teams.
Extracts comments from contracts and legal briefs for associate review, then polishes them into formal legal opinions ready for partner sign-off.
Used by compliance teams to collect and refine review comments on filings like 10-Ks or prospectuses, ensuring all regulatory remarks are professionally addressed.
Facilitates structured feedback extraction from Word documents during journal peer review, polishing raw reviewer comments into actionable suggestions for authors.
Enables consulting teams to streamline comment consolidation on strategy documents, producing polished review notes for partner review before client delivery.
Charges a flat annual fee per user for the skill package, including the extraction script and agent integration, with tiered pricing for small teams vs. enterprise.
Offers the extraction script as a local tool and the polishing as a cloud API call, charging per comment processed, ideal for high-volume users.
Bundles the skill with existing document review platforms (e.g., iManage, ContractExpress) as an add-on module, priced as a percentage uplift on the base license.
💬 Integration Tip
Set up the Python script on a secure local machine with Word installed for COM access; the agent polishing requires no additional APIs as it uses the agent's native capabilities.
Scored Jul 15, 2026
Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.
Monitor RSS and Atom feeds for content research. Track blogs, news sites, newsletters, and any feed source. Use when monitoring competitors, tracking industr...
用 MinerU API 解析 PDF/Word/PPT/图片为 Markdown，支持公式、表格、OCR。适用于论文解析、文档提取。
Provides a personalized morning report with today's reminders, undone Notion tasks, and vault storage summary for daily planning.
Extract text from PDFs with OCR support. Perfect for digitizing documents, processing invoices, or analyzing content. Zero dependencies required.
Fetch scheduled economic events and data releases from the FMP API for specified dates, filtering by impact, country, and type, and output a chronological ma...