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genpark-agent-self-consistency-consensus-scorer-skill

by Alpha-Park

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      Enables aggregating divergent LLM reasoning trajectories via multi-path chain-of-thought self-consistency consensus scoring and majority voting into high-confidence deterministic outputs. Plugs into any MCP-compliant client over JSON-RPC 2.0 stdio with zero external dependencies.
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    • A
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    • F
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      license
      A
      quality
      A
      maintenance
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    • A
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      quality
      A
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      Exposes local MCP tools for typed, calibrated LLM decisions — gating risky actions, yes/no judging, classification, ordinal rating, and multi-question decisions in one pass. Runs on the model Devin's CLI already provides via ACP (or a fully offline local backend), so agents get calibrated confidence with no extra API key, no Ollama, and no waitlist.
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