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Agent Skill · 研究检索

kalopilot(kalopilot 搜索)

kalopilot 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

kalopilot 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 31,884。

总安装 2,619周安装 107GitHub Stars 2下载 839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
unknown

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:kalopilot(kalopilot 搜索)
来源仓库:https://github.com/sailtonight/kalopilot-skill
仓库路径:skills/kalopilot
安装命令:
npx skills add https://github.com/sailtonight/kalopilot-skill --skill kalopilot
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/sailtonight/kalopilot-skill --skill kalopilot

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。

kalopilot 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。安装前需确认权限范围、维护状态,以及是否会触发联网或文件操作。

建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/kalopilot

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/sailtonight/kalopilot-skill --skill kalopilot;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

kalopilot 怎么安装?

在终端执行 npx skills add https://github.com/sailtonight/kalopilot-skill --skill kalopilot。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

kalopilot 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

kalopilot 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。

kalopilot 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

kalopilot 用的人多吗?

公开数据是累计安装 2,619 次,近一周安装 107 次,下载 839 次,GitHub 2 星。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。

kalopilot 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
kalopilot

kalopilot 搜索 · 本页

2,6192接触敏感数据未明确未通过

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

KaloPilot — TikTok E-commerce Data Assistant

This skill lets you query TikTok Shop data through the KaloPilot AI agent. KaloPilot has access to 20+ specialized tools covering products, shops, creators, videos, livestreams, and categories across all TikTok Shop regions.

Authentication

Token is stored as plain text in ~/.kalopilot/token:

your-token-here

If the file doesn't exist, ask the user for their KaloData token, then save it:

mkdir -p ~/.kalopilot && echo -n "<token>" > ~/.kalopilot/token && chmod 600 ~/.kalopilot/token

API Endpoint

POST https://staging.kalodata.com/api/pilot/skill/ext/v1/chat/sync
Content-Type: application/json
Authorization: Bearer <token>

Making a Request

Use scripts/pilot.sh to manage queries. The script handles token loading, background execution, early error detection, and result cleanup automatically — preventing stale result issues.

Response time by complexity:

  • Simple queries (single-dimension lookup, e.g. "美国热门商品"): ~1 minute
  • Complex queries (cross-dimension, diagnostics, comparisons): 2–3 minutes
  • Very complex (multi-step analysis with reports): up to 10 minutes

Step 1 — Send query:

bash <skill-path>/scripts/pilot.sh query "<user question>"

With task_id for follow-up questions:

bash <skill-path>/scripts/pilot.sh query "<user question>" "<task_id>"

The script launches curl in the background, does a 2-second early error check (catches bad token, network issues), and prints the PID. Tell the user the query is running.

Step 2 — Poll for completion:

Poll based on query complexity:

  • Simple query → first poll after 45 seconds
  • Complex query → first poll after 90 seconds
  • If still running, poll again every 30 seconds
bash <skill-path>/scripts/pilot.sh status

Output is running, done, or No active query.

Step 3 — Read result:

Only call this after status shows done. The script refuses to read while a query is still running, and cleans up after reading — so stale results are never left behind.

bash <skill-path>/scripts/pilot.sh result

Multi-turn Conversations

The first request returns a task_id in the response. Always reuse that task_id for follow-up questions on the same topic — this gives KaloPilot conversation context so it can understand references like "the first one" or "compare it with yesterday".

Example flow:

  1. First message: {"query": "美国热门商品有哪些?"} → response includes "task_id": "abc123"
  2. Follow-up: {"query": "第一名的销售趋势怎么样?", "task_id": "abc123"}
  3. Another follow-up: {"query": "对比一下英国市场", "task_id": "abc123"}

When the user switches to a clearly different topic, start fresh without task_id.

Response Format

{
  "task_id": "abc123",
  "message_id": "456",
  "text": "The main analysis text...",
  "report": "# Detailed Report\n\n...",
  "report_url": "https://staging.kalodata.com/...",
  "token_usage": {...},
  "credits_consumed": 10
}

How to display the response

  1. Show the text field — this is the primary analysis.
  2. If report is not null, display it as well (it's a markdown report with tables and structured data).
  3. If report_url is not null, show it as a clickable link so the user can open the full report in their browser, e.g. "查看完整报告:[链接]". CRITICAL: Copy the report_url value verbatim from the API response. NEVER construct, guess, or fabricate this URL — the task_id and tool_call_id parameters in the URL are unique server-generated values that cannot be inferred. If report_url is absent or null in the response, do not show any link.
  4. Mention credits consumed at the end, e.g. "(consumed 10 credits)".

Error responses

The API returns errors as JSON with a message field. Common cases:

  • Insufficient credits: tell the user they need to top up on KaloData.
  • Timeout: suggest the user try a more specific query.
  • Other errors: show the error message directly.

What Users Can Ask

KaloPilot covers these dimensions across all TikTok Shop regions (US, UK, ID, MY, TH, VN, PH, SG, MX, DE, IT, FR, ES, BR, JP):

  • Products: rankings, sales trends, price analysis, breakout products, selling point analysis, comment/review analysis, image search (find similar products by photo)
  • Shops: store rankings, revenue, product mix, growth metrics
  • Creators/Influencers: performance, GMV, follower analysis, collaboration data, creator search
  • Videos: viral product videos, engagement metrics, conversion analysis, video script extraction
  • Livestreams: live sales data, viewer metrics, product performance during streams
  • Categories: market size, growth trends, competition landscape, category search by keyword
  • User's collections: view saved/followed products, shops, creators, videos, and video scripts
  • URL lookup: paste a TikTok, KaloData, Shopee, or Lazada link to get entity details
  • KaloData FAQ: questions about how to use KaloData itself
  • Membership & pricing: plan details and pricing info
  • Cross-dimensional: e.g., "which creators drive the most sales in Beauty category in the US"

For detailed tool parameters, filters, and sort options per dimension, read the relevant reference file:

DimensionReference
Productsreferences/products.md
Shopsreferences/shops.md
Creatorsreferences/creators.md
Videosreferences/videos.md
Livestreamsreferences/livestreams.md
Categoriesreferences/categories.md
Collections, URL lookup, FAQ, creditsreferences/utilities.md

Only read the reference file relevant to the user's question — no need to load them all.

Example Queries

Shop diagnosis — KaloPilot will automatically pull industry benchmarks, compare with top competitors, and output a diagnostic report:

"帮我诊断一下这个店铺 https://kalodata.com/shop/xxx,分析它的优劣势"

Product selection by price range — queries multiple price tiers and compares:

"美国 Beauty 类目 $20-50 和 $50-100 价格带分别有哪些爆款?对比一下各价格带的竞争格局"

Video script analysis — extracts scripts from top-performing videos with timeline breakdowns:

"帮我提取美国 Pet Supplies 类目近7天收入最高的5个视频脚本,总结爆款套路"

Creator discovery — finds creators matching specific criteria:

"帮我找美国 Beauty 类目粉丝10万-50万、互动率高的达人,按带货收入排序"

Multi-turn deep dive:

User: "英国市场 Electronics 类目近30天表现怎么样?" User: "前三名的店铺分别是谁?详细对比一下" User: "第一名的店铺用了哪些达人?分析达人结构"

Important Rules

  • The user's question can be in any language — KaloPilot handles multilingual queries automatically.
  • If the query is vague, pass it through as-is. KaloPilot will ask clarifying questions or make reasonable defaults.
  • Never try to answer TikTok data questions from your own knowledge — always route through the API. Only KaloPilot has current market data.
  • Never fabricate data. If the API call fails, say so.

平台分布

Codex

35.72%
按下载量换算300

Claude

31.05%
按下载量换算261

Cursor

16.35%
按下载量换算137

Gemini CLI

9.71%
按下载量换算81

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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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