{
  "project": {
    "project_id": "Alqemist-labs/ruby_llm-tribunal",
    "repo": "Alqemist-labs/ruby_llm-tribunal",
    "name": "ruby_llm-tribunal",
    "description": "LLM evaluation framework for Ruby, powered by RubyLLM. Tribunal provides tools for evaluating and testing LLM outputs, detecting hallucinations, measuring response quality, and ensuring safety. Perfect for RAG systems, chatbots, and any LLM-powered application.",
    "category": [
      "llm_eval"
    ],
    "language": "Ruby",
    "license": "MIT"
  },
  "project_id": "Alqemist-labs/ruby_llm-tribunal",
  "score": 57,
  "git_top_score": 57,
  "quality_score": 4,
  "agent_score": 51,
  "git_top_score_breakdown": {
    "community": 63,
    "maintenance": 4,
    "documentation": 92,
    "stability": 55,
    "adoption": 42,
    "agent_readability": 100
  },
  "dimensions": [
    {
      "key": "community",
      "label": "Community",
      "score": 63,
      "weight": 16,
      "contribution": 10.1,
      "explanation": "Community reflects contributor activity and ecosystem attention. Current contributor signal is 1."
    },
    {
      "key": "maintenance",
      "label": "Maintenance",
      "score": 4,
      "weight": 20,
      "contribution": 0.8,
      "explanation": "Maintenance reflects repository activity, commits, releases, issue-response signals, and recent push freshness."
    },
    {
      "key": "documentation",
      "label": "Documentation",
      "score": 92,
      "weight": 16,
      "contribution": 14.7,
      "explanation": "Agent-readable documentation signals are strong enough for recommendation workflows."
    },
    {
      "key": "stability",
      "label": "Stability",
      "score": 55,
      "weight": 16,
      "contribution": 8.8,
      "explanation": "Stability reflects release cadence, issue load, recent activity, and maturity signals."
    },
    {
      "key": "adoption",
      "label": "Adoption",
      "score": 42,
      "weight": 16,
      "contribution": 6.7,
      "explanation": "Adoption is normalized from stars, forks, and ecosystem attention signals."
    },
    {
      "key": "agent_readability",
      "label": "Agent Readability",
      "score": 100,
      "weight": 16,
      "contribution": 16,
      "explanation": "Agent readability reflects summaries, use cases, tradeoffs, dependencies, alternatives, and deployment clarity."
    }
  ],
  "summary": "Alqemist-labs/ruby_llm-tribunal scores 57/100. Agent Readability is strongest at 100/100; Maintenance is the lowest dimension at 4/100.",
  "adoption_guidance": "Use cautiously. Treat this project as an exploration candidate until documentation, maintenance, and adoption signals are reviewed.",
  "risk_flags": [
    "Maintenance is the weakest dimension at 4/100.",
    "Known caveat: edge-only Cloudflare Workers deployment without adaptation"
  ],
  "score_confidence": {
    "level": "high",
    "summary": "Score evidence is strong enough for shortlist ranking when paired with current metadata.",
    "reasons": [
      "All score evidence checks are strong."
    ],
    "evidence_checklist": [
      {
        "signal": "Classification evidence",
        "status": "strong",
        "description": "3/4 classification signals are high-confidence."
      },
      {
        "signal": "Quality signal completeness",
        "status": "strong",
        "description": "4 quality signals are complete or snapshot-backed."
      },
      {
        "signal": "Deployment clarity",
        "status": "strong",
        "description": "3 deployment targets are indexed."
      },
      {
        "signal": "Agent-readable context",
        "status": "strong",
        "description": "3 use cases and 2 inferred dependencies are available."
      },
      {
        "signal": "Tradeoff disclosure",
        "status": "strong",
        "description": "2 caveats are indexed for adoption decisions."
      }
    ],
    "citation_guidance": "When citing this score, include metadata.source, weakest_dimension, risk_flags, and score_confidence.level."
  },
  "next_actions": [
    {
      "label": "Open project knowledge",
      "href": "/projects/Alqemist-labs/ruby_llm-tribunal",
      "kind": "project"
    },
    {
      "label": "Inspect graph",
      "href": "/graph/Alqemist-labs/ruby_llm-tribunal",
      "kind": "graph"
    },
    {
      "label": "Find alternatives",
      "href": "/alternatives/Alqemist-labs/ruby_llm-tribunal",
      "kind": "alternatives"
    },
    {
      "label": "Compare shortlist",
      "href": "/api/compare?repos=Alqemist-labs/ruby_llm-tribunal",
      "kind": "compare"
    },
    {
      "label": "Get category recommendations",
      "href": "/api/recommend?category=llm_eval&limit=5",
      "kind": "recommend"
    }
  ],
  "strongest_dimension": {
    "key": "agent_readability",
    "label": "Agent Readability",
    "score": 100,
    "weight": 16,
    "contribution": 16,
    "explanation": "Agent readability reflects summaries, use cases, tradeoffs, dependencies, alternatives, and deployment clarity."
  },
  "weakest_dimension": {
    "key": "maintenance",
    "label": "Maintenance",
    "score": 4,
    "weight": 20,
    "contribution": 0.8,
    "explanation": "Maintenance reflects repository activity, commits, releases, issue-response signals, and recent push freshness."
  },
  "related_scores": {
    "quality_score": 4,
    "agent_score": 51,
    "agent_score_breakdown": {
      "documentation": 90,
      "maintenance": 6,
      "deployment": 80,
      "popularity": 36,
      "community": 46
    }
  },
  "evidence": {
    "deployments": [
      "library_only",
      "local",
      "cloud"
    ],
    "dependencies": [
      "Vector database",
      "LLM provider"
    ],
    "use_cases": [
      "evaluate LLM outputs",
      "benchmark prompts and agents",
      "track model quality"
    ],
    "not_good_for": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product"
    ],
    "quality_signals": {
      "stars": 62,
      "recent_commits": 0,
      "contributors": 1,
      "issue_response_time_hours": null,
      "release_frequency_180d": 0
    },
    "quality_signal_confidence": {
      "stars_30d_delta": "snapshot",
      "stars30d_window_days": 33,
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "complete"
    },
    "classification": {
      "category": {
        "confidence": "high",
        "evidence": [
          "Matched \"eval\" in metadata.",
          "Matched \"evaluation\" in metadata."
        ]
      },
      "deployment": {
        "confidence": "high",
        "evidence": [
          "Matched \"library\" in repository content.",
          "Local usage is assumed for open source repositories unless contradicted."
        ]
      },
      "difficulty": {
        "confidence": "medium",
        "evidence": [
          "Repository has under 10k stars, so complexity is treated conservatively."
        ]
      },
      "cloudflare_ready": {
        "confidence": "high",
        "evidence": [
          "No Cloudflare deployment signal detected.",
          "No wrangler.toml found in inspected repository files."
        ]
      }
    },
    "source_fields": [
      "project.description",
      "project.topics",
      "project.language",
      "project.license",
      "agent_card.summary_for_agent",
      "agent_card.use_cases",
      "agent_card.deployment",
      "agent_card.classification",
      "metrics"
    ],
    "caveats": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product"
    ],
    "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
    "last_verified_at": "2026-08-18T08:58:14.918Z"
  },
  "caveats": [
    "edge-only Cloudflare Workers deployment without adaptation",
    "users expecting a complete hosted product"
  ],
  "confidence_reason": "Score evidence is strong enough for shortlist ranking when paired with current metadata.",
  "source_fields": [
    "project.description",
    "project.topics",
    "project.language",
    "project.license",
    "agent_card.summary_for_agent",
    "agent_card.use_cases",
    "agent_card.deployment",
    "agent_card.classification",
    "metrics"
  ],
  "last_verified_at": "2026-08-18T08:58:14.918Z",
  "links": {
    "page": "/score/Alqemist-labs/ruby_llm-tribunal",
    "project_api": "/api/project/Alqemist-labs/ruby_llm-tribunal",
    "graph_api": "/api/graph/Alqemist-labs/ruby_llm-tribunal",
    "alternatives_api": "/api/alternatives/Alqemist-labs/ruby_llm-tribunal",
    "compare_api": "/api/compare?repos=Alqemist-labs/ruby_llm-tribunal",
    "recommendations_api": "/api/recommend?category=llm_eval&limit=5"
  },
  "metadata": {
    "source": "d1",
    "reason": "d1_query",
    "project_count": 1184,
    "generated_at": "2026-08-23T09:41:54.337Z",
    "snapshot_id": "d1:1184:2026-08-23T08:53:04.039Z",
    "latest_synced_at": "2026-08-23T08:53:04.039Z",
    "schema_version": "git-top.knowledge.v1",
    "loaded_project_limit": 2000,
    "truncated": false
  }
}