tsu-mission-controlIntegrate with Mission Control dashboard to report task progress, publish documents to the Library, request approvals, and submit project requests. Use this...
Install via ClawdBot CLI:
clawdbot install louisval1/tsu-mission-controlGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:8000/api/hooks/eventPotentially destructive shell commands in tool definitions
curl -fsSL https://openclaw.ai/install.sh | bashCalls external URL not in known-safe list
http://localhost:8000AI Analysis
The skill communicates only with a user-configured local endpoint (default localhost:8000) for task progress reporting and document publishing, which aligns with its stated dashboard integration purpose. No credential harvesting, hidden instructions, or obfuscation is present in the provided definition.
Generated May 7, 2026
AI agent receives support tickets from a ticketing system, creates tasks in Mission Control, reports progress as it researches solutions, publishes findings to the Library, and requests human approval before sending final responses. This keeps the support team informed of each step.
An AI agent collects data from various sources, writes a comprehensive market report, publishes it to the Library under the 'research' collection, and notifies the team. It can also break the report into subtasks, tracking progress in Mission Control.
After code changes, an AI agent runs tests, creates a review task in Mission Control, publishes test results to the Library, and requests human approval before deploying to production. It tracks each stage from review to completion.
An AI agent drafts blog posts or social media content, publishes drafts to the Library, creates approval requests in Mission Control, and only publishes after human approval. It tracks progress and documents changes.
When a new project idea comes in, the AI agent submits a project request via Mission Control, breaks it into tasks, tracks progress through stages, and publishes documentation to the Library. It ensures all steps are visible to stakeholders.
Offer Mission Control integration as part of a SaaS platform. Charge per agent seat or per task/event volume, with tiers for small teams, growing companies, and enterprises.
Provide custom setup, configuration, and training for organizations to integrate AI agents with Mission Control. Offer ongoing support and maintenance contracts.
Create a marketplace of pre-built skills and templates that use Mission Control. Charge per task event, document publish, or approval request processed through the skill.
💬 Integration Tip
Start by setting the MISSION_CONTROL_URL and HOOK_SECRET environment variables, then use the provided JSON event templates to report task progress and publish documents. Test with a simple dummy task to ensure connectivity.
Scored Jun 29, 2026
Audited Apr 16, 2026 · audit v1.0
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