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multisagemultisage 搜索

Agent Skill

multisage 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

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下载量

3,403
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:multisage(multisage 搜索)
来源仓库:https://github.com/waleedkadous/multisage
安装命令:
openclaw skills install multisage
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install multisage

简介

聚合 Claude、GPT 与 Gemini 的多专家视角回答复杂问题。

  • 适合需要多角度论证或争议性话题深入探讨时使用。
  • 自动平衡不同模型优势,提供综合参考意见。multisage 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 结果为 AI 生成,不代表任何机构立场,需自行甄别真伪。
  • 部分模型调用受限于地区或订阅状态,可能影响可用性。

SKILL.md

name
multisage
description
Query Multisage for multi-expert AI answers from Claude, GPT, and Gemini. Use this skill whenever the user wants multiple AI perspectives on a question, says "ask multisage", "multisage this", "get expert opinions", wants a multi-AI consultation, or needs a well-rounded answer that considers different viewpoints. Also use for deep research queries that need comprehensive analysis from multiple AI providers in parallel.
user-invocable
true
context
fork
allowed-tools
Bash, Read

Multisage Skill

Query the Multisage API for multi-expert AI answers. Multisage sends your question to Claude, GPT, and Gemini simultaneously, then synthesizes their responses into a single, well-rounded answer — highlighting where they agree, disagree, and what unique insights each provides.

Prerequisites

The multisage CLI must be installed globally:

npm install -g multisage

An API key is required. Get one at https://multisage.ai/settings (under "API Keys").

API Key Setup (Do This First)

Before running any multisage command, you must ensure MULTISAGE_API_KEY is available in your shell. The env var is often NOT inherited automatically — check and load it explicitly:

# 1. Check if it's already set
echo "${MULTISAGE_API_KEY:0:8}"

# 2. If empty, look for it in common locations
grep MULTISAGE_API_KEY .env 2>/dev/null || grep MULTISAGE_API_KEY ~/.env 2>/dev/null

# 3. Export it (replace with actual key found above)
export MULTISAGE_API_KEY="msk_..."

If you get a timeout or authentication error, the most likely cause is a missing API key — always verify it's set before debugging further.

Running from Claude (Important)

When running multisage from Claude or any non-interactive context, always use the -q flag to suppress the interactive spinner (doesn't render in tool output).

Redirect output to a file with > instead of piping through tee, which can cause issues in non-TTY contexts:

# Correct — redirect to file
multisage -q "your question" > /tmp/multisage-output.txt 2>&1
cat /tmp/multisage-output.txt

# Wrong — tee can cause issues in non-TTY contexts
multisage -q "your question" | tee output.txt  # DON'T DO THIS

Standard Query

For most questions, run a standard query. This consults all three AI providers and returns a synthesized answer with stage breakdown:

multisage -q "your question here"

The default output shows each stage: quick answer, expert synthesis, and debate (if the experts disagree). This costs 1 credit.

Deep Research

For questions that need thorough, in-depth analysis — research topics, complex technical questions, literature reviews — use deep research mode. This launches 3 parallel deep research sessions (one per provider) and synthesizes the results:

multisage -q --deep-research "your question here"

Deep research costs 5 credits and takes 5-25 minutes. The CLI streams progress updates as each provider completes. You can detach with Ctrl+C and check results later.

Output Options

FlagWhat it does
-qSuppress spinner (always use from Claude)
-f, --fullShow everything: quick answer, individual expert responses, synthesis, debate
--final-onlyShow only the final synthesized answer (skip stages)
-j, --jsonOutput as structured JSON
--deep-researchUse deep research mode (5 credits, 5-25 min)

Combine flags as needed. For example, -f -q gives full output without a spinner. -j gives structured JSON (useful if you need to parse the response programmatically).

Managing Deep Research

Deep research runs asynchronously. If you start one and need to check on it later:

# Check if results are ready
multisage results <threadId>

# Cancel an in-progress query
multisage cancel <threadId>

The threadId is printed when you start a deep research query.

When to Use Which Mode

  • Standard (multisage -q "...") — Good for most questions. Quick (30-90 seconds), costs 1 credit. Best for factual questions, advice, comparisons, code help.
  • Deep Research (multisage -q --deep-research "...") — For thorough analysis. Each provider does its own deep research with web search, then results are cross-referenced and synthesized. Best for research topics, technical deep-dives, market analysis, literature reviews.

Typical Usage from Claude

# Standard query — redirect to file, then read
multisage -q "What are the tradeoffs between SQLite and PostgreSQL for a hobby project?" > /tmp/ms-output.txt 2>&1
cat /tmp/ms-output.txt

# Full output (includes individual expert responses)
multisage -q -f "What are the tradeoffs between SQLite and PostgreSQL for a hobby project?" > /tmp/ms-output.txt 2>&1
cat /tmp/ms-output.txt

# Deep research
multisage -q --deep-research "What are the latest advances in protein folding prediction?"

# JSON output for parsing
multisage -q -j "Is Rust or Go better for CLI tools?" > /tmp/ms-output.txt 2>&1
cat /tmp/ms-output.txt | jq '.answer'

Response Structure

The API returns:

  • answer — Final synthesized answer
  • experts — List of expert names (or full details with -f)
  • creditsUsed — Credits consumed (1 for standard, 5 for deep research)
  • stages.quickAnswer — Initial quick answer before expert consultation
  • stages.synthesis — Synthesized answer incorporating all expert perspectives
  • stages.debate — Debate section highlighting disagreements (null if experts agree)

Limits and Errors

  • Questions are truncated to 1000 characters
  • 5-minute timeout for standard queries
  • API keys must start with msk_
  • Rate limit: 10 requests/minute, 3 concurrent
StatusMeaning
401Invalid or missing API key
402Insufficient credits — purchase at https://multisage.ai/pricing
429Rate limited or too many concurrent requests (check Retry-After header)
500Server error — try again

Troubleshooting

Timeout errors are almost always caused by a missing API key — the CLI makes an unauthenticated request that hangs instead of returning a clean error. Fix: verify MULTISAGE_API_KEY is exported (see API Key Setup above).

Diagnostic checklist (run these before retrying):

# Is the API key set?
[ -n "$MULTISAGE_API_KEY" ] && echo "Key set: ${MULTISAGE_API_KEY:0:8}..." || echo "KEY NOT SET"

# Is the CLI installed?
which multisage && multisage -V

# Quick connectivity test
multisage -q "hello" > /tmp/ms-test.txt 2>&1 && echo "OK" || echo "FAILED — check output:" && cat /tmp/ms-test.txt

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算3,025

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可疑

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可疑

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敏感数据

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安装前确认

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