A
licenseNot graded
qualityD
maintenanceObjective-driven cognitive architecture engine that builds single experts, councils, or full autonomous organizations from user goals, generating deployment-ready superprompts and configurations.
8 npm
MIT
Systemonomic
by TonyC23
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TDQS
A3.5/5.0
Scored across 10 tools
Disambiguation4/5
Most tools have distinct purposes, but there is some potential confusion between 'derive_task_suggestions' and 'generate_tasks_from_wda' as both generate tasks from WDA objects, with the former being described as 'more sophisticated.' The other tools are clearly differentiated, covering suggestion management, task creation, ATSS assessment, and listing operations.
Naming Consistency5/5
All tool names follow a consistent snake_case pattern with clear verb_noun structures (e.g., 'accept_suggestions', 'create_task', 'list_tasks'). This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming conventions.
Tool Count5/5
With 10 tools, the server is well-scoped for managing tasks, suggestions, and ATSS assessments in a project automation system. Each tool serves a specific role in the workflow, from creation and listing to analysis and persistence, without feeling bloated or sparse.
Completeness4/5
The tool set covers core workflows for task and suggestion management, including creation, listing, and assessment, but lacks update and delete operations for tasks or suggestions. This minor gap might require workarounds, but the overall surface supports the domain of project automation and AI-driven task analysis effectively.
Maintenance
ActivityInactive
ResponsivenessNo issues