openserv-multi-agent-workflowsMulti-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orch...
Install via ClawdBot CLI:
clawdbot install issa-me-sush/openserv-multi-agent-workflowsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.openserv.ai/webhooks/trigger/${trigger.token}`Calls external URL not in known-safe list
https://api.openserv.ai/webhooks/trigger/TOKENAI Analysis
The skill demonstrates legitimate workflow orchestration functionality consistent with the OpenServ platform's stated purpose. The external API calls to api.openserv.ai appear to be the platform's own backend services for webhook triggering, not unauthorized data exfiltration. No evidence of credential harvesting, hidden instructions, or obfuscation was found in the provided content.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
A digital marketing agency uses this skill to automate blog post creation for clients. A research agent gathers information on a topic, a writing agent drafts the content, and an image generation agent creates accompanying visuals. This reduces manual work and speeds up content delivery.
A fintech company employs multi-agent workflows to analyze market data. One agent collects real-time financial news, another processes trends, and a third generates summarized reports for investors. This ensures timely, data-driven insights without human intervention.
An e-learning platform leverages agents to create online courses. A research agent curates educational materials, a content agent structures lessons, and a review agent ensures quality and alignment with curriculum standards. This streamlines course production for diverse subjects.
A social media startup builds workflows to manage multiple platforms. Agents handle content ideation, post drafting, scheduling, and performance analytics. This allows small teams to maintain consistent, engaging social media presence across channels.
A SaaS company implements agents to enhance customer support. One agent analyzes incoming queries, another retrieves relevant documentation, and a third drafts personalized responses. This improves response times and reduces support team workload.
Offer access to pre-built multi-agent workflows through a monthly or annual subscription. Users pay for features like workflow customization, agent integrations, and priority support. This provides recurring revenue and scales with user growth.
Sell customized workflow solutions to large enterprises for specific use cases like data analysis or content generation. Include premium support, training, and integration services. This targets high-value clients with complex needs.
Create a marketplace where developers can list and sell their specialized agents. Take a commission on transactions and offer hosting services. This fosters an ecosystem and generates revenue from agent usage and sales.
💬 Integration Tip
Start with simple sequential pipelines to understand edge connections, then gradually add complexity like conditional branching as needed for your use case.
Scored Apr 19, 2026
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