botlearn-assessmentbotlearn-assessment — BotLearn 5-dimension capability self-assessment (reasoning, retrieval, creation, execution, orchestration); triggers on botlearn assess...
Install via ClawdBot CLI:
clawdbot install calvinxhk/botlearn-assessmentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Report → https://aiindex.stanford.edu/report/Potentially destructive shell commands in tool definitions
eval (Calls external URL not in known-safe list
https://www.bls.gov/cps/cpsaat01.htmUses known external API (expected, informational)
api.notion.comGenerated Mar 20, 2026
AI developers use this skill to benchmark their agent's capabilities across reasoning, retrieval, creation, execution, and orchestration. It helps identify strengths and weaknesses for targeted improvement, such as optimizing tool usage or enhancing reasoning chains.
Companies deploy this skill to periodically evaluate their AI agents' performance in real-world tasks like data analysis, content generation, and workflow automation. It ensures compliance with operational standards and tracks improvements over time through historical results.
Educational institutions integrate this skill into AI courses to provide hands-on assessment for students learning about agent capabilities. It allows self-paced testing on dimensions like reasoning and creation, with immediate scoring and feedback for learning reinforcement.
Product teams use this skill to run automated tests on AI agents before deployment, checking for consistency in execution and orchestration. It helps catch issues like tool dependencies or performance gaps, ensuring reliable user experiences.
Researchers apply this skill to compare different AI models or configurations across standardized dimensions. It facilitates data collection on capabilities like retrieval and reasoning, supporting studies on AI performance trends and innovations.
Offer this skill as part of a cloud-based platform where users pay a monthly fee for access to advanced assessment features, historical analytics, and custom report generation. Revenue streams include tiered plans based on usage frequency and report complexity.
Sell licenses to large organizations for internal deployment, including customization options like branded reports and integration with existing AI systems. Revenue is generated through one-time purchases or annual maintenance contracts with support services.
Provide a free basic version for individual users, with paid upgrades for advanced features such as detailed trend analysis, priority support, and enhanced HTML reports. Revenue comes from upselling premium modules and consulting services.
💬 Integration Tip
Ensure the skill's tool dependency checks align with your environment's available tools to avoid automatic failures; test with sample triggers first to verify language adaptation and report generation.
Scored Apr 19, 2026
Audited Apr 17, 2026 · audit v1.0
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