Nerf Watch

Daily Nerf Watch scores for Claude and GPT models on one private, code-graded suite. Read-only.

我该使用它吗

质量与安全性

B
描述质量
100%
模式完整度
65%
命名质量
100%
投毒风险
60%
权限匹配度
100%
协议合规性
100%

发现(3)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domain在 get_nerfwatch_scores 中
  • MEDIUMTool description contains URL to non-standard domain在 get_nerfwatch_history 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,695token 数(工具定义)
~9.0 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.32%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "nerfwatch": {
      "url": "https://tokenusage.dev/mcp/nerfwatch"
    }
  }
}

远程端点

https://tokenusage.dev/mcp/nerfwatchstreamable-http

它能做什么

工具清单

工具(2)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢get_nerfwatch_scores

Latest public Nerf Watch scores, previous runs, changes and baselines for at most 100 models, ordered by provider, name and model id. No arguments. Histories are available through get_nerfwatch_history. Scores and changes are rounded to two decimals; comparisons are within one suite version. A lower score is a lower score on this suite, not proof that a provider changed a model. Unofficial, not affiliated with OpenAI or Anthropic. Source: https://tokenusage.dev/nerfwatch

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "source": {
      "type": "string",
      "enum": [
        "https://tokenusage.dev/nerfwatch"
      ],
      "description": "The fixed credit URL, https://tokenusage.dev/nerfwatch. When showing the data to other people, show Data: tokenusage.dev linked to this URL on the same screen or in the same message. Personal use needs no visible credit. API and MCP relays must retain source and pass on this credit condition."
    },
    "generatedAt": {
      "type": "string",
      "description": "When the cached data was read, ISO 8601 UTC; the cache TTL is 300 seconds from read start."
    },
    "dataUpdatedAt": {
      "type": [
        "string",
        "null"
      ],
      "description": "When the newest retained run was stored, ISO 8601 UTC; null without runs. This is distinct from response generation time."
    },
    "baselineDays": {
      "type": "integer",
      "minimum": 1,
      "description": "The UTC-day window before each latest run used for its baseline; this is the returned setting, not a fixed client assumption."
    },
    "minBaselineRuns": {
      "type": "integer",
      "minimum": 1,
      "description": "The minimum number of same-suite runs needed for a baseline; this is the returned setting."
    },
    "flatPoints": {
      "type": "number",
      "minimum": 0,
      "description": "An absolute change versus baseline at or below this returned setting is flat."
    },
    "models": {
      "type": "array",
      "maxItems": 100,
      "description": "Models in source order: provider, name and model id; empty before the first run.",
      "items": {
        "type": "object",
        "additionalProperties": true,
        "properties": {
          "model": {
            "type": "string",
            "description": "The model id used by get_nerfwatch_history."
          },
          "name": {
            "type": "string",
            "description": "The model's published display name."
          },
          "provider": {
            "type": "string",
            "description": "The model's published provider name."
          },
          "latest": {
            "type": [
              "object",
              "null"
            ],
            "additionalProperties": true,
            "description": "The newest retained run, or null.",
            "properties": {
              "day": {
                "type": "string",
                "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                "description": "The run's UTC day, YYYY-MM-DD."
              },
              "score": {
                "type": "number",
                "minimum": 0,
                "maximum": 100,
                "description": "The suite percentage, rounded to two decimals."
              },
              "suiteVersion": {
                "type": "string",
                "description": "The suite version; score comparisons are within one version."
              }
            },
            "required": [
              "day",
              "score",
              "suiteVersion"
            ]
          },
          "previous": {
            "type": [
              "object",
              "null"
            ],
            "additionalProperties": true,
            "description": "The retained run before the latest, whatever its day or suite version, or null.",
            "properties": {
              "day": {
                "type": "string",
                "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                "description": "The run's UTC day, YYYY-MM-DD."
              },
              "score": {
                "type": "number",
                "minimum": 0,
                "maximum": 100,
                "description": "The suite percentage, rounded to two decimals."
              },
              "suiteVersion": {
                "type": "string",
                "description": "The suite version; score comparisons are within one version."
              }
            },
            "required": [
              "day",
              "score",
              "suiteVersion"
            ]
          },
          "change": {
            "type": [
              "number",
              "null"
            ],
            "minimum": -100,
            "maximum": 100,
            "description": "Latest minus previous in points, rounded to two decimals; null without both runs on the same suite version."
          },
          "baseline": {
            "type": [
              "number",
              "null"
            ],
            "minimum": 0,
            "maximum": 100,
            "description": "The mean same-suite score in the baseline window, rounded to two decimals; null with fewer than minBaselineRuns."
          },
          "baselineRuns": {
            "type": "integer",
            "minimum": 0,
            "description": "The number of same-suite runs in the baseline window, including when too few for a baseline."
          },
          "changeVsBaseline": {
            "type": [
              "number",
              "null"
            ],
            "minimum": -100,
            "maximum": 100,
            "description": "Latest minus baseline in points, rounded to two decimals; null without a baseline."
          },
          "trend": {
            "type": [
              "string",
              "null"
            ],
            "enum": [
              "down",
              "flat",
              "up",
              null
            ],
            "description": "Direction versus baseline: down below -flatPoints, up above flatPoints, flat otherwise; null without a baseline."
          }
        },
        "required": [
          "model",
          "name",
          "provider",
          "latest",
          "previous",
          "change",
          "baseline",
          "baselineRuns",
          "changeVsBaseline",
          "trend"
        ]
      }
    }
  },
  "required": [
    "source",
    "generatedAt",
    "dataUpdatedAt",
    "baselineDays",
    "minBaselineRuns",
    "flatPoints",
    "models"
  ],
  "additionalProperties": true
}
🟢get_nerfwatch_history(model)

Retained public Nerf Watch score history for one model, oldest first, including each point's suite version. The required model id is available from get_nerfwatch_scores. Missing days are missing, not zero; comparisons are within one suite version. A lower score is a lower score on this suite, not proof that a provider changed a model. Unofficial, not affiliated with OpenAI or Anthropic. Source: https://tokenusage.dev/nerfwatch

输入模式

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "pattern": "^[a-z0-9][a-z0-9._-]{0,63}$",
      "description": "A model id from get_nerfwatch_scores: 1 to 64 lowercase letters, digits, dots, underscores or hyphens, starting with a letter or digit."
    }
  },
  "required": [
    "model"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "source": {
      "type": "string",
      "enum": [
        "https://tokenusage.dev/nerfwatch"
      ],
      "description": "The fixed credit URL, https://tokenusage.dev/nerfwatch. When showing the data to other people, show Data: tokenusage.dev linked to this URL on the same screen or in the same message. Personal use needs no visible credit. API and MCP relays must retain source and pass on this credit condition."
    },
    "generatedAt": {
      "type": "string",
      "description": "When the cached data was read, ISO 8601 UTC; the cache TTL is 300 seconds from read start."
    },
    "dataUpdatedAt": {
      "type": [
        "string",
        "null"
      ],
      "description": "When the newest retained run across the dataset was stored, ISO 8601 UTC; null without runs. This is dataset metadata, not a timestamp for this model alone."
    },
    "historyDays": {
      "type": "integer",
      "minimum": 1,
      "description": "The returned retention bound per model; clients read this setting rather than assuming 366."
    },
    "model": {
      "type": "string",
      "description": "The selected model id."
    },
    "name": {
      "type": "string",
      "description": "The selected model's published display name."
    },
    "provider": {
      "type": "string",
      "description": "The selected model's published provider name."
    },
    "history": {
      "type": "array",
      "description": "Retained points, oldest first, including older suite versions; days without a run are missing, not zero.",
      "items": {
        "type": "object",
        "additionalProperties": true,
        "properties": {
          "day": {
            "type": "string",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "description": "The run's UTC day, YYYY-MM-DD."
          },
          "score": {
            "type": "number",
            "minimum": 0,
            "maximum": 100,
            "description": "The suite percentage, rounded to two decimals."
          },
          "suiteVersion": {
            "type": "string",
            "description": "The suite version; score comparisons are within one version."
          }
        },
        "required": [
          "day",
          "score",
          "suiteVersion"
        ]
      }
    }
  },
  "required": [
    "source",
    "generatedAt",
    "dataUpdatedAt",
    "historyDays",
    "model",
    "name",
    "provider",
    "history"
  ],
  "additionalProperties": true
}

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