{
  "project": {
    "project_id": "AgentEvalHQ/AgentEval",
    "repo": "AgentEvalHQ/AgentEval",
    "name": "AgentEval",
    "description": "AgentEval is the comprehensive .NET toolkit for AI agent evaluation—tool usage validation, RAG quality metrics, stochastic evaluation, and model comparison—built first for Microsoft Agent Framework (MAF) and Microsoft.Extensions.AI. What RAGAS, PromptFoo and DeepEval do for Python, AgentEval does for .NET",
    "category": [
      "agent_framework"
    ],
    "language": "C#",
    "license": "MIT"
  },
  "project_id": "AgentEvalHQ/AgentEval",
  "score": 81,
  "git_top_score": 81,
  "quality_score": 28,
  "agent_score": 64,
  "verification": {
    "schema_version": "git-top.verification.v1",
    "overall_status": "partial",
    "observed_at": "2026-09-15T18:30:46.515Z",
    "signals": {
      "activity": {
        "status": "observed",
        "source": "github_metadata",
        "evidence": [
          "project.pushed_at",
          "metrics.recent_push_days"
        ]
      },
      "license": {
        "status": "observed",
        "source": "github_metadata",
        "evidence": [
          "project.license"
        ]
      },
      "documentation": {
        "status": "observed",
        "source": "github_metadata",
        "evidence": [
          "project.description"
        ]
      },
      "runtime": {
        "status": "inferred",
        "source": "git_top_heuristic",
        "evidence": [
          "agent_card.deployment",
          "agent_card.cloudflare_ready"
        ]
      },
      "install": {
        "status": "not_run",
        "source": "git_top_runtime",
        "evidence": [
          "installation/build probe is not enabled"
        ]
      },
      "security": {
        "status": "not_run",
        "source": "git_top_runtime",
        "evidence": [
          "dependency/security scan is not enabled"
        ]
      },
      "mcp": {
        "status": "not_applicable",
        "source": "git_top_runtime",
        "evidence": [
          "project is not classified as mcp_server"
        ]
      }
    },
    "coverage": {
      "observed": 3,
      "inferred": 1,
      "not_run": 2,
      "unknown": 0
    },
    "next_steps": [
      "Run an installation/build probe before production adoption.",
      "Run a dependency and security scan before treating the score as a trust claim."
    ]
  },
  "git_top_score_breakdown": {
    "community": 76,
    "maintenance": 69,
    "documentation": 84,
    "stability": 100,
    "adoption": 59,
    "agent_readability": 100
  },
  "dimensions": [
    {
      "key": "community",
      "label": "Community",
      "score": 76,
      "weight": 16,
      "contribution": 12.2,
      "explanation": "Community reflects contributor activity and ecosystem attention. Current contributor signal is 4."
    },
    {
      "key": "maintenance",
      "label": "Maintenance",
      "score": 69,
      "weight": 20,
      "contribution": 13.8,
      "explanation": "Maintenance reflects repository activity, commits, releases, issue-response signals, and recent push freshness."
    },
    {
      "key": "documentation",
      "label": "Documentation",
      "score": 84,
      "weight": 16,
      "contribution": 13.4,
      "explanation": "Agent-readable documentation signals are strong enough for recommendation workflows."
    },
    {
      "key": "stability",
      "label": "Stability",
      "score": 100,
      "weight": 16,
      "contribution": 16,
      "explanation": "Stability reflects release cadence, issue load, recent activity, and maturity signals."
    },
    {
      "key": "adoption",
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      "score": 59,
      "weight": 16,
      "contribution": 9.4,
      "explanation": "Adoption is normalized from stars, forks, and ecosystem attention signals."
    },
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      "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."
    }
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  "summary": "AgentEvalHQ/AgentEval scores 81/100. Stability is strongest at 100/100; Adoption is the lowest dimension at 59/100.",
  "adoption_guidance": "Promising candidate. Review risk flags, weakest score dimension, and alternatives before recommending it as the default choice.",
  "risk_flags": [
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    "reasons": [
      "All score evidence checks are strong."
    ],
    "evidence_checklist": [
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        "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."
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        "status": "strong",
        "description": "3 deployment targets are indexed."
      },
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        "signal": "Agent-readable context",
        "status": "strong",
        "description": "3 use cases and 2 inferred dependencies are available."
      },
      {
        "signal": "Tradeoff disclosure",
        "status": "strong",
        "description": "1 caveats are indexed for adoption decisions."
      }
    ],
    "citation_guidance": "When citing this score, include metadata.source, weakest_dimension, risk_flags, and score_confidence.level."
  },
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      "label": "Open project knowledge",
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      "label": "Inspect graph",
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      "kind": "graph"
    },
    {
      "label": "Find alternatives",
      "href": "/alternatives/AgentEvalHQ/AgentEval",
      "kind": "alternatives"
    },
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      "label": "Compare shortlist",
      "href": "/api/compare?repos=AgentEvalHQ/AgentEval",
      "kind": "compare"
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    {
      "label": "Get category recommendations",
      "href": "/api/recommend?category=agent_framework&limit=5",
      "kind": "recommend"
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  "strongest_dimension": {
    "key": "stability",
    "label": "Stability",
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    "weight": 16,
    "contribution": 16,
    "explanation": "Stability reflects release cadence, issue load, recent activity, and maturity signals."
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    "key": "adoption",
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    "weight": 16,
    "contribution": 9.4,
    "explanation": "Adoption is normalized from stars, forks, and ecosystem attention signals."
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    "quality_score": 28,
    "agent_score": 64,
    "agent_score_breakdown": {
      "documentation": 90,
      "maintenance": 54,
      "deployment": 80,
      "popularity": 43,
      "community": 49
    }
  },
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      "cloud"
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    "dependencies": [
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      "LLM provider"
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      "build agents with AgentEval",
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      "prototype autonomous workflows"
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    "not_good_for": [
      "edge-only Cloudflare Workers deployment without adaptation"
    ],
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      "recent_commits": 79,
      "contributors": 4,
      "issue_response_time_hours": null,
      "release_frequency_180d": 36
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      "stars30d_window_days": 36,
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "complete"
    },
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          "Matched \"agent framework\" in metadata.",
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        ]
      },
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        "confidence": "high",
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          "Found Docker configuration file.",
          "Local usage is assumed for open source repositories unless contradicted."
        ]
      },
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        "confidence": "medium",
        "evidence": [
          "Repository has under 10k stars, so complexity is treated conservatively."
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      "cloudflare_ready": {
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        "evidence": [
          "Runtime blocker: python.",
          "No Cloudflare deployment signal detected.",
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