Batcave Detective Basic
Evidence-bound second-opinion audit of an agent conclusion against caller-supplied evidence.
使うべきか
品質と安全性
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"batcave-detective": {
"url": "https://subsidy-stylized-unaligned.ngrok-free.dev/mcp"
}
}
}リモートエンドポイント
https://subsidy-stylized-unaligned.ngrok-free.dev/mcpstreamable-httpできること
ツール一覧
ツール（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.
入力スキーマ
{
"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.
入力スキーマ
{
"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.
入力スキーマ
{
"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.
入力スキーマ
{
"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.
入力スキーマ
{
"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"
}コミュニティ
エビデンス