hermes-rubric MCP Server
hermes-labs-ai/hermes-rubric
Evidence-first LLM-as-judge scoring for AI artifacts — papers, PRs, prompts, cold emails: synthesizes a rubric, collects quoted-evidence citations, scores only against that evidence, and hedges on thin evidence. Every dimension ties to a file:line or quote, with reproducibility receipts. 7 backends.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
hermes-labs-ai/hermes-rubric is a Python tool licensed under Apache-2.0. Evidence-first LLM-as-judge scoring for AI artifacts — papers, PRs, prompts, cold emails: synthesizes a rubric, collects quoted-evidence citations, scores only against that evidence, and hedges on thin evidence. Every dimension ties to a file:line or quote, with reproducibility receipts. 7 backends.
Ranked #20805 out of 24840 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
2 stars → early stage
Last commit today → actively maintained
0/1 issues closed → many open issues
0 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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