Batcave Detective Basic
Evidence-bound second-opinion audit of an agent conclusion against caller-supplied evidence.
我该使用它吗
质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
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": {
"batcave-detective": {
"url": "https://subsidy-stylized-unaligned.ngrok-free.dev/mcp"
}
}
}远程端点
https://subsidy-stylized-unaligned.ngrok-free.dev/mcpstreamable-http它能做什么
工具清单
工具（5）
⚪evidence_judge(job_id, task, proposed_action, reasoning_summary, evidence, ...)
Batcave paid product at /v1/review-decision. The canonical product contract is published by STORE OpenAPI. Price: 0.02 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.
输入模式
{
"type": "object",
"properties": {
"job_id": {
"type": "string",
"maxLength": 128
},
"task": {
"type": "string",
"enum": [
"review_decision"
]
},
"proposed_action": {
"type": "string",
"minLength": 1,
"maxLength": 2000
},
"reasoning_summary": {
"type": "string",
"maxLength": 4000
},
"evidence": {
"type": "array",
"maxItems": 16,
"items": {
"type": "string",
"maxLength": 1000
}
},
"risk": {
"type": "string",
"enum": [
"low",
"medium",
"high"
]
}
},
"required": [
"proposed_action"
],
"additionalProperties": true
}⚪detective_basic(job_id, task, original_task, current_conclusion, reasoning_summary, ...)
Batcave paid product at /v1/audit-claims. The canonical product contract is published by STORE OpenAPI. Price: 0.02 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.
输入模式
{
"type": "object",
"properties": {
"job_id": {
"type": "string",
"maxLength": 128
},
"task": {
"type": "string",
"enum": [
"audit_claims"
]
},
"original_task": {
"type": "string",
"minLength": 1,
"maxLength": 2000
},
"current_conclusion": {
"type": "string",
"minLength": 1,
"maxLength": 3000
},
"reasoning_summary": {
"type": "string",
"maxLength": 5000
},
"claims": {
"type": "array",
"minItems": 1,
"maxItems": 12,
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"maxLength": 64
},
"text": {
"type": "string",
"maxLength": 1000
}
},
"required": [
"id",
"text"
],
"additionalProperties": false
}
},
"evidence": {
"type": "array",
"maxItems": 20,
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"maxLength": 64
},
"text": {
"type": "string",
"maxLength": 1200
}
},
"required": [
"id",
"text"
],
"additionalProperties": false
}
},
"importance": {
"type": "string",
"enum": [
"low",
"medium",
"high"
]
},
"freshness_expectation": {
"type": "string",
"maxLength": 500
}
},
"required": [
"original_task",
"current_conclusion",
"claims"
],
"additionalProperties": true
}⚪run_python(job_id, runtime, files, command, stdin, ...)
Execute supplied Python files in a fresh disposable CPU-only container. No outbound network, no GPU, and no host filesystem access beyond the disposable workspace. Returns bounded execution evidence, requested artifacts, and Execution Receipt v1. Price: 0.01 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.
输入模式
{
"type": "object",
"properties": {
"job_id": {
"type": "string"
},
"runtime": {
"type": "string",
"enum": [
"python"
]
},
"files": {
"type": "object",
"minProperties": 1,
"maxProperties": 64,
"additionalProperties": {
"type": "string"
},
"description": "Relative file path -> UTF-8 text content."
},
"command": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional argv; defaults to ['python','main.py']."
},
"stdin": {
"type": "string"
},
"timeout_seconds": {
"type": "integer",
"minimum": 1,
"maximum": 30
},
"memory_mb": {
"type": "integer",
"minimum": 64,
"maximum": 1024
},
"cpus": {
"type": "number",
"minimum": 0.1,
"maximum": 2
},
"artifact_paths": {
"type": "array",
"maxItems": 16,
"items": {
"type": "string"
}
}
},
"required": [
"files"
],
"additionalProperties": false
}🟢scenario_council(job_id, question, context, evidence, rounds)
Runs exactly four fixed roles (Operator, Skeptic, Buyer, Adversary) for 1-3 bounded rounds over only the caller-supplied question, context, and evidence. Returns every role position, evidence lineage, structured peer challenges, belief changes, disagreements, falsifiers, deterministic process-integrity results, and one independent Detective Basic audit of the four final conclusions. Does not retrieve outside facts, execute actions, treat peer statements as evidence, or treat majority agreement as truth. Price: 0.25 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.
输入模式
{
"type": "object",
"properties": {
"job_id": {
"type": "string",
"maxLength": 128
},
"question": {
"type": "string",
"minLength": 1,
"maxLength": 2000
},
"context": {
"type": "string",
"maxLength": 6000
},
"evidence": {
"type": "array",
"maxItems": 20,
"items": {
"oneOf": [
{
"type": "string",
"maxLength": 1200
},
{
"type": "object",
"properties": {
"id": {
"type": "string",
"maxLength": 64
},
"text": {
"type": "string",
"minLength": 1,
"maxLength": 1200
}
},
"required": [
"text"
],
"additionalProperties": false
}
]
}
},
"rounds": {
"type": "integer",
"minimum": 1,
"maximum": 3,
"default": 3
}
},
"required": [
"question"
],
"additionalProperties": true
}🟡json_doctor(job_id, text, schema, mode)
Deterministic CPU-only utility. Repairs a bounded set of common JSON syntax mistakes, returns canonical JSON, and optionally validates a documented JSON Schema subset. Missing fields are reported, never invented. Price: 0.003 USD via x402. Calling this MCP tool returns the canonical REST/x402 checkout contract; it does not execute the product or charge the caller yet.
输入模式
{
"type": "object",
"properties": {
"job_id": {
"type": "string",
"maxLength": 128
},
"text": {
"type": "string",
"maxLength": 262144,
"minLength": 1,
"description": "JSON or JSON-like text to parse, conservatively repair, and return."
},
"schema": {
"type": "object",
"description": "Optional structural JSON Schema. JSON Doctor validates the documented supported keyword subset and reports unsupported keywords explicitly."
},
"mode": {
"type": "string",
"enum": [
"repair_and_validate",
"repair_only",
"validate_only"
],
"default": "repair_and_validate"
}
},
"required": [
"text"
],
"additionalProperties": false,
"title": "Job"
}社区
证据