proseOpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.
Install via ClawdBot CLI:
clawdbot install mondilo1/proseGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Post → https://postgresapp.comCalls external URL not in known-safe list
https://www.prose.mdUses known external API (expected, informational)
raw.githubusercontent.comAI Analysis
The skill's external calls (prose.md homepage, GitHub raw content) are consistent with its stated purpose of fetching OpenProse documentation and example programs. The 'postgresapp.com' reference appears to be an example snippet within documentation, not an active data sink. No credential harvesting, hidden instructions, or obfuscation is present.
Generated Mar 1, 2026
A software development team uses OpenProse to orchestrate a multi-agent workflow for automated code reviews. The .prose script spawns agents that analyze pull requests, run tests, and generate feedback, integrating with GitHub via web_fetch. This reduces manual review time and ensures consistent quality checks across the codebase.
A customer service department implements OpenProse to manage support tickets by routing them to specialized AI agents based on content. The script uses sessions_spawn to handle inquiries, categorize issues, and escalate complex cases, improving response times and resolution accuracy through automated workflows.
A media company leverages OpenProse to automate content generation, editing, and publishing. A .prose file coordinates agents that draft articles, fact-check information, and schedule posts across platforms using read/write for file I/O, streamlining production and reducing human intervention.
Researchers use OpenProse to orchestrate agents that collect, analyze, and summarize data from multiple sources. The script employs web_fetch to pull remote datasets and sessions_spawn to parallelize processing, enabling efficient synthesis of information for academic or market analysis projects.
An e-commerce business utilizes OpenProse to manage order processing by spawning agents that handle inventory checks, payment verification, and shipping coordination. The workflow integrates with APIs via remote fetch, reducing errors and speeding up fulfillment cycles for improved customer satisfaction.
Offer OpenProse as a cloud-based service where users pay a subscription to access pre-built .prose templates and orchestration tools. Revenue comes from tiered plans based on usage limits, agent complexity, and support levels, targeting businesses seeking to automate repetitive tasks without deep technical expertise.
Provide consulting services to help organizations design and implement custom OpenProse workflows tailored to their specific needs. Revenue is generated through project-based fees or retainer contracts, focusing on industries like finance or healthcare that require specialized automation solutions.
Operate a marketplace where developers can sell or share reusable .prose scripts and agent configurations. Revenue is earned via transaction fees on sales or premium listings, encouraging community contributions and accelerating adoption by offering ready-to-use workflows for common use cases.
💬 Integration Tip
Start by using the examples directory to test basic workflows, then integrate with existing tools via web_fetch for remote data and sessions_spawn for multi-agent coordination to scale automation.
Scored Apr 19, 2026
Audited Apr 16, 2026 · audit v1.0
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