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Agent Skill · 研究检索

nyne-deep-research(尼恩深入研究)

nyne-deep-research 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。

nyne-deep-research 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 7,369。

总安装 19,176周安装 799GitHub Stars 公开资料未说明下载 6,392核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:nyne-deep-research(尼恩深入研究)
来源仓库:https://github.com/michaelfanous2/nyne-deep-research
安装命令:
openclaw skills install nyne-deep-research
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 nyne-deep-research

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

通过 Nyne Deep Research API 获取个人全面情报档案。支持按姓名、邮箱、电话或社交 URL 进行深度检索。输出包含心理特征与背景信息的结构化报告。nyne-deep-research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。需配置有效 API 密钥并遵守数据隐私政策。

结果仅供参考,不保证实时性与准确性,请交叉验证来源。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install nyne-deep-research;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

nyne-deep-research 怎么安装?

在终端执行 openclaw skills install nyne-deep-research。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

nyne-deep-research 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

nyne-deep-research 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

nyne-deep-research 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

nyne-deep-research 用的人多吗?

公开数据是累计安装 19,176 次,近一周安装 799 次,下载 6,392 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

nyne-deep-research 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
nyne-deep-research

尼恩深入研究 · 本页

19,176—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
nyne-deep-research
description
>

Nyne Deep Research Skill

Research any person by email, phone, social URL, or name. Returns a comprehensive intelligence dossier with psychographic profile, social graph, career analysis, conversation starters, and approach strategy.

Important: This API is async with high latency (2-5 min processing). You submit a request, get a request_id, then poll until complete.

Agent Instructions

When presenting results to the user, show maximum depth — display every section of the dossier in full. Do not summarize or truncate. Walk through each section sequentially:

  1. Identity Snapshot — who they are
  2. Career DNA — trajectory and superpower
  3. Psychographic Profile — values, motivations, archetypes
  4. Personal Life & Hobbies — interests outside work
  5. Social Graph Analysis — inner circle, professional network, interest graph
  6. Interest Cluster Deep Dive — all 9 clusters with detail
  7. Content & Voice Analysis — topics, tone, opinions, quotes
  8. Key Relationships — full list with relationship nature and importance
  9. Conversation Starters — all 4 hook categories
  10. Recommendations / How Others See Them — reputation signals
  11. Warnings & Landmines — topics to avoid, sensitivities
  12. Creepy-Good Insights — non-obvious findings with evidence
  13. Approach Strategy — best angle, topics, what not to do

Also include enrichment data (contact info, work history, education) and note whether following and articles sections have data.

If dossier is null, present the enrichment data and let the user know the full dossier was not generated (this can happen with duplicate or cached requests — resubmit with a different identifier).

If following or articles are null, simply note they were not available for this person.

Setup

Required environment variables:

  • NYNE_API_KEY — your Nyne API key
  • NYNE_API_SECRET — your Nyne API secret

Get credentials at https://api.nyne.ai.

Set these in your shell before running any commands:

export NYNE_API_KEY="your-api-key"
export NYNE_API_SECRET="your-api-secret"

To persist across sessions, add the exports to your shell profile (~/.zshrc, ~/.bashrc, etc.) or create a .env file and source it:

# Create .env file (keep out of version control)
echo 'export NYNE_API_KEY="your-api-key"' >> ~/.nyne_env
echo 'export NYNE_API_SECRET="your-api-secret"' >> ~/.nyne_env
source ~/.nyne_env

Verify they're set:

echo "Key: ${NYNE_API_KEY:0:8}... Secret: ${NYNE_API_SECRET:0:6}..."

Important: JSON Handling

The API response can contain control characters in JSON string values that break jq. All examples below use a nyne_parse helper that pipes through python3 to clean and re-encode the JSON before passing to jq. Define it once per session:

nyne_parse() {
  python3 -c "
import sys, json, re
raw = sys.stdin.read()
clean = re.sub(r'[\-\]+', ' ', raw)
data = json.loads(clean)
json.dump(data, sys.stdout)
"
}

Quick Start

Submit a research request by email and poll until complete:

# Define helper (strips control chars, re-encodes clean JSON)
nyne_parse() {
  python3 -c "
import sys, json, re
raw = sys.stdin.read()
clean = re.sub(r'[\-\]+', ' ', raw)
data = json.loads(clean)
json.dump(data, sys.stdout)
"
}

# Submit research request
REQUEST_ID=$(curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"email": "someone@example.com"}' | nyne_parse | jq -r '.data.request_id')

echo "Request submitted: $REQUEST_ID"

# Poll until complete (checks every 5s, times out after 10 min)
SECONDS_WAITED=0
while [ $SECONDS_WAITED -lt 600 ]; do
  curl -s "https://api.nyne.ai/person/deep-research?request_id=$REQUEST_ID" \
    -H "X-API-Key: $NYNE_API_KEY" \
    -H "X-API-Secret: $NYNE_API_SECRET" | nyne_parse > /tmp/nyne_response.json
  STATUS=$(jq -r '.data.status' /tmp/nyne_response.json)
  echo "Status: $STATUS ($SECONDS_WAITED seconds elapsed)"
  if [ "$STATUS" = "completed" ]; then
    jq '.data.result' /tmp/nyne_response.json
    break
  elif [ "$STATUS" = "failed" ]; then
    echo "Research failed."
    jq . /tmp/nyne_response.json
    break
  fi
  sleep 5
  SECONDS_WAITED=$((SECONDS_WAITED + 5))
done

if [ $SECONDS_WAITED -ge 600 ]; then
  echo "Timed out after 10 minutes. Try polling manually with request_id: $REQUEST_ID"
fi

Submit Research (POST)

Endpoint: POST https://api.nyne.ai/person/deep-research

Headers:

Content-Type: application/json
X-API-Key: $NYNE_API_KEY
X-API-Secret: $NYNE_API_SECRET

Parameters:

ParameterTypeDescription
emailstringEmail address
phonestringPhone number
social_media_urlstring or arraySocial profile URL(s), up to 3
namestringFull name (use with company or city for disambiguation)
companystringCompany name (helps disambiguate name)
citystringCity (helps disambiguate name)
callback_urlstringWebhook URL to POST results when complete

At least one identifier is required: email, phone, social_media_url, or name with company/city.

Examples

By email:

curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"email": "someone@example.com"}' | nyne_parse | jq .

By social media URL:

curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"social_media_url": "https://twitter.com/elonmusk"}' | nyne_parse | jq .

By multiple social URLs:

curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"social_media_url": ["https://twitter.com/elonmusk", "https://linkedin.com/in/elonmusk"]}' | nyne_parse | jq .

By name + company:

curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"name": "Jane Smith", "company": "Acme Corp"}' | nyne_parse | jq .

By phone:

curl -s -X POST "https://api.nyne.ai/person/deep-research" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" \
  -d '{"phone": "+14155551234"}' | nyne_parse | jq .

Submit response (HTTP 202):

{
  "success": true,
  "data": {
    "request_id": "abc123-def456-...",
    "status": "pending"
  }
}

Poll for Results (GET)

Endpoint: GET https://api.nyne.ai/person/deep-research?request_id={id}

Headers: Same X-API-Key and X-API-Secret as above.

Status progression: pending → enriching → gathering → analyzing → completed (or failed)

This typically takes 2-3 minutes.

Check status once

curl -s "https://api.nyne.ai/person/deep-research?request_id=$REQUEST_ID" \
  -H "X-API-Key: $NYNE_API_KEY" \
  -H "X-API-Secret: $NYNE_API_SECRET" | nyne_parse | jq '{status: .data.status, completed: .data.completed}'

Full polling loop

SECONDS_WAITED=0
TIMEOUT=600  # 10 minutes

while [ $SECONDS_WAITED -lt $TIMEOUT ]; do
  curl -s "https://api.nyne.ai/person/deep-research?request_id=$REQUEST_ID" \
    -H "X-API-Key: $NYNE_API_KEY" \
    -H "X-API-Secret: $NYNE_API_SECRET" | nyne_parse > /tmp/nyne_response.json
  STATUS=$(jq -r '.data.status' /tmp/nyne_response.json)

  echo "[$(date +%H:%M:%S)] Status: $STATUS ($SECONDS_WAITED s)"

  case "$STATUS" in
    completed)
      jq '.data.result' /tmp/nyne_response.json
      break
      ;;
    failed)
      echo "Research failed:"
      jq '.data' /tmp/nyne_response.json
      break
      ;;
    *)
      sleep 5
      SECONDS_WAITED=$((SECONDS_WAITED + 5))
      ;;
  esac
done

if [ "$STATUS" != "completed" ] && [ "$STATUS" != "failed" ]; then
  echo "Timed out. Resume polling with request_id: $REQUEST_ID"
fi

Response Structure

When status is completed, the response looks like:

{
  "success": true,
  "timestamp": "2025-01-15T12:00:00Z",
  "data": {
    "status": "completed",
    "completed": true,
    "request_id": "abc123-...",
    "created_on": "2025-01-15T11:57:00Z",
    "completed_on": "2025-01-15T12:00:00Z",
    "result": {
      "enrichment": { ... },
      "dossier": { ... },
      "following": { ... },
      "articles": [ ... ]
    }
  }
}

result sections

SectionDescription
enrichmentContact info, social profiles, bio, schools, work history (20+ keys)
dossierThe main intelligence output — 15 sections (see below)
followingTwitter/Instagram following data (can be null)
articlesPress and media mentions (can be null)

Dossier Sections Reference

The dossier object contains 15 sections:

identity_snapshot

Top-level identity summary.

  • full_name, current_role, company, location, age_estimate, emails, social_profiles, headline, birthday, self_description

career_dna

Career trajectory and strengths.

  • trajectory, superpower

psychographic_profile

Values, motivations, and personality archetypes.

  • values, motivations, archetypes, political_leanings, cluster_analysis

personal_life_hobbies

Interests and personality outside of work.

  • life_outside_work, entertainment_culture, personal_passions, active_hobbies_sports, quirks_personality

social_graph_analysis

Network and relationship mapping.

  • inner_circle, professional_network, personal_interest_graph

interest_cluster_deep_dive

Deep analysis across 9 interest clusters.

  • tech, sports_fitness, music_entertainment, food_lifestyle, causes_politics, intellectual_interests, geographic_ties, personal_network, unexpected_surprising

content_voice_analysis

How they communicate and what they care about.

  • topics, tone, humor_style, strong_opinions, frustrations, notable_quotes, recent_wins

content_analysis

Alias of content_voice_analysis (kept for backward compatibility).

key_relationships

List of ~25 objects describing important connections.

  • Each: name, handle, followers, relationship_nature, why_important

key_influencers

Alias of key_relationships.

conversation_starters

Hooks to open conversation, in 4 categories.

  • professional_hooks, personal_interest_hooks, current_events_hooks, shared_experience_hooks

recommendations_how_others_see_them

Public perception and reputation signals.

  • highlighted_qualities, colleague_descriptions, patterns_in_praise

warnings_landmines

Topics and areas to avoid.

  • topics_to_avoid, political_hot_buttons, sensitive_career_history, competitors_they_dislike

creepy_good_insights

Non-obvious insights derived from data.

  • List of objects: insight, evidence

approach_strategy

How to approach this person.

  • best_angle, topics_that_resonate, personal_interests_to_reference, shared_connections, what_not_to_do

Useful jq Filters

After polling completes, the clean response is at /tmp/nyne_response.json. Use jq directly on the file:

# Extract identity snapshot
jq '.data.result.dossier.identity_snapshot' /tmp/nyne_response.json

# Get all conversation starters
jq '.data.result.dossier.conversation_starters' /tmp/nyne_response.json

# List key relationships (name + why important)
jq '.data.result.dossier.key_relationships[] | {name, why_important}' /tmp/nyne_response.json

# Get approach strategy
jq '.data.result.dossier.approach_strategy' /tmp/nyne_response.json

# Extract a specific dossier section by name
jq --arg s "psychographic_profile" '.data.result.dossier[$s]' /tmp/nyne_response.json

# Get enrichment contact info
jq '.data.result.enrichment | {emails, phones, linkedin_url, twitter_url}' /tmp/nyne_response.json

# Check processing status only
jq '{status: .data.status, completed: .data.completed, request_id: .data.request_id}' /tmp/nyne_response.json

# Get warnings and landmines
jq '.data.result.dossier.warnings_landmines' /tmp/nyne_response.json

# List all creepy-good insights
jq '.data.result.dossier.creepy_good_insights[].insight' /tmp/nyne_response.json

Error Handling

HTTP CodeErrorDescription
400INVALID_PARAMETERSMalformed request body
400MISSING_PARAMETERNo identifier provided (need email, phone, social_media_url, or name+company/city)
401AUTHENTICATION_FAILEDInvalid or missing API key/secret
402INSUFFICIENT_CREDITSNot enough credits (100 credits per request)
403NO_ACTIVE_SUBSCRIPTIONSubscription required
403ACCESS_DENIEDAccount does not have access
429RATE_LIMIT_EXCEEDEDToo many requests
500QUEUE_ERRORInternal processing error

Rate Limits & Costs

  • Rate limits: 10 requests/minute, 100 requests/hour
  • Cost: 100 credits per research request
  • Processing time: Typically 2-3 minutes, up to 5 minutes

平台分布

OpenClaw

75.42%
按下载量换算4,821

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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