multi-ai-research SKILL.md skillA

multi-ai-research from majiayu000/spellbook is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add majiayu000/spellbook/multi-ai-research@git:20260523.d39dd11

Pins git:20260523.d39dd11 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
majiayu000/spellbook
Path
skills/multi-ai-research/SKILL.md
Versions recorded
3
Latest version
git:20260523.d39dd11, committed May 23, 2026
First version recorded
Apr 9, 2026
Size
12,683 bytes
Repository stars
290
License
MIT

Parallel multi-AI cross-validation research workflow (大版本). Dispatch N internal sub-agents + grok + gemini in parallel, automatically cross-validate findings, tier by confidence (strong consensus / partial / conflict / insufficient), generate tiered action items with arbitration. Use when user says "多 AI 调研", "交叉验证", "独立共识", "三脑调研", "multi-ai research", "parallel research", "cross-validate", or needs deep research that benefits from internal data + external 2026 consensus. NOT for quick…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<!-- v1 | 2026-04-09 | 从 2026-04-08 X reply deboost 调研实战沉淀;集成自动置信度分级 + 仲裁 + 改动清单 -->

# Multi-AI Research(并行多 AI 交叉验证)

**核心价值**:能力乘法,不是加法。Claude(主脑)+ grok(X 社区/实时)+ gemini(Google 生态/结构化)+ N 个内部 sub-agent = **N+3 个 agent 并行**处理同一个研究问题。

**关键洞察**(2026-04-08 实战验证):两个独立外部 AI 的共识信号 **强于** 任何单个 AI 的深度。"更深度" < "更少错"。

**和 ask-opencli 的关系**:
- `ask-opencli` = 单次 grok 或 gemini 调用(日常 second opinion)
- `multi-ai-research` = **完整调研工作流**,并行多 AI + 内部数据 + 交叉验证 + 自动仲裁

如果用户只是想"问 grok 一个问题",用 `ask-opencli`。如果用户要做"深度调研"或"交叉验证多个维度",用这个 skill。

---

## 何时触发

### ✅ 适合

- 深度研究任务(手动做 >30 分钟)
- 行业机制问题(算法规则、产品决策、社区共识)
- 需要外部共识加权的内部数据推断
- 时效性问题(grok 有实时 X 数据,gemini 有最新 web 索引)
- 反转既有假设(数据 vs 理论冲突时仲裁)
- 新工具/新做法的可行性调研

### ❌ 不适合

- 纯代码推理(单个 Claude 足够)
- 需要深度项目 context 的任务(外部 AI 不了解你的代码库)
- 快速事实问答(<30 秒能解决,并行开销不值)
- 创意生成(单家强模型即可)

---

## 工作流(7 Phase)

### Phase 1:问题分解(Claude 自动 + 用户可覆盖)

从用户的一个研究问题,自动拆分成:

1. **内部数据查询**(1-5 个 sub-agent 并行)
   - 数据分布/量化分析
   - 内容对比/质性分析
   - 多维度切分
   - 时序/趋势分析
   - (按需增加)

2. **外部理论查询**(2 个 Bash 并行)
   - grok:侧重实时/社区/X 信号
   - gemini:侧重结构化/框架/长推理

**默认分解策略**:
- 3 个内部 agent + 2 个外部 AI = 5 个并行任务
- 如果用户问题偏理论 → 减少内部 agent 到 1-2 个,加大外部 AI 权重
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add majiayu000/spellbook/multi-ai-research@sha256:506476bf538d86bb

The line at the top of this page pins the label git:20260523.d39dd11, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_iup5e2rp5hzxgsgb.svg)](https://markdownregistry.com/a/art_iup5e2rp5hzxgsgb)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Apr 9, 2026 and May 23, 2026, about one every 22 days.

versioncommittedcommitsizeaudit
git:20260523.d39dd11 latest2026-05-23 d39dd11 12,683 BA view · diff
git:20260409.a26a19a2026-04-09 a26a19a 19,700 BA view · diff
git:20260409.437c2522026-04-09 437c252 19,696 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12683 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

majiayu000/spellbook · 290 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_iup5e2rp5hzxgsgb
GET https://markdownregistry.com/api/v1/resolve?ref=majiayu000/spellbook/multi-ai-research
GET https://markdownregistry.com/api/v1/blob/506476bf538d86bbd23478c7a17d03de4fb27e8f3ab3a8b6c8a4bc859b0754e0

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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