ouroboros vs Spec Score MCP
Side-by-side comparison of two Ai projects on AiList.
Tagline
Agent OS: Stop prompting. Start specifying. A Socratic interview gates the spec on an ambiguity score, then one command drives execution, a 3-stage evaluation gate, and a budgeted evolution loop. MCP server, 13 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.
Score your specs before feeding them to an LLM. A balanced spec produces balanced code. The LLM reads your spec and scores it on 4 axes: completeness, clarity, constraints, and specificity. The tool calculates a balance score, verdict, and generates radar chart visualizations. 3 tools: `spec_score
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