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Agent Skill · 研究检索

iblai-analytics(易卜莱分析)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

iblai-analytics 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 42,134。

总安装 1,104周安装 46GitHub Stars 14下载 368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:iblai-analytics(易卜莱分析)
来源仓库:https://github.com/iblai/vibe
仓库路径:skills/iblai-analytics
安装命令:
npx skills add https://github.com/iblai/vibe --skill iblai-analytics
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/iblai/vibe --skill iblai-analytics

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。

用于辅助数据整理、表格处理、适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。CSV/Excel 分析、指标计算和图表准备。适合清洗字段、汇总数据、发现异常或生成统计口径。使用时需确认数据来源、字段含义和时间范围, 避免样本当全量事实。

iblai-analytics 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/iblai-analytics

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/iblai/vibe --skill iblai-analytics;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

iblai-analytics 怎么安装?

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

iblai-analytics 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。

iblai-analytics 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。

iblai-analytics 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。

iblai-analytics 用的人多吗?

公开数据是累计安装 1,104 次,近一周安装 46 次,下载 368 次,GitHub 14 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。

iblai-analytics 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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
iblai-analytics

易卜莱分析 · 本页

1,10414接触敏感数据未明确通过

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

/iblai-analytics

Add an analytics dashboard with a tabbed layout (AnalyticsLayout): Overview, Courses, Programs, Users, Topics, Financial, Transcripts, Reports. Each tab is a Next.js route under /analytics/.

Analytics Page

Do NOT add custom styles to ibl.ai SDK components. Do NOT implement dark mode unless asked. Follow the component hierarchy: ibl.ai SDK (@iblai/iblai-js) first, then shadcn/ui (npx shadcn@latest add).

Prerequisites

  • Auth set up (/iblai-auth)
  • MCP and skills set up (iblai add mcp)
  • iblai.env populated with PLATFORM, DOMAIN, TOKEN. If missing: curl -o iblai.env https://raw.githubusercontent.com/iblai/vibe/refs/heads/main/iblai.env

Generate

iblai --version    # upgrade if outdated: pip install --upgrade iblai-app-cli OR npm i -g @iblai/cli@latest
iblai add analytics

Generated: app/(app)/analytics/page.tsx (overview only). You create the layout and sub-pages manually.

Layout

Wrap pages with AnalyticsLayout + AnalyticsSettingsProvider. The SDK layout uses bg-[#f5f7fb] internally — wrap it in a white card so it pops against the page background.

// app/(app)/analytics/layout.tsx
"use client";

import { AnalyticsLayout, AnalyticsSettingsProvider } from "@iblai/iblai-js/web-containers";
import { usePathname, useRouter } from "next/navigation";

export default function AnalyticsLayoutWrapper({ children }: { children: React.ReactNode }) {
  const pathname = usePathname();
  const router = useRouter();
  const basePath = "/analytics";

  return (
    <div className="mx-auto w-full flex-1 overflow-auto px-4 py-8 md:w-[75vw] md:px-0">
      <div className="rounded-lg border border-[var(--border-color)] bg-white overflow-hidden">
        <AnalyticsSettingsProvider value={{}}>
          <AnalyticsLayout
            currentPath={pathname}
            basePath={basePath}
            onTabChange={(tab) => router.push(tab ? `${basePath}/${tab}` : basePath)}
          >
            {children}
          </AnalyticsLayout>
        </AnalyticsSettingsProvider>
      </div>
    </div>
  );
}

Sub-pages

All components import from @iblai/iblai-js/web-containers. Pattern:

"use client";
import { useEffect, useState } from "react";
import { AnalyticsCourses } from "@iblai/iblai-js/web-containers";
import { resolveAppTenant } from "@/lib/iblai/tenant";

export default function CoursesPage() {
  const [tenantKey, setTenantKey] = useState("");
  useEffect(() => { setTenantKey(resolveAppTenant()); }, []);
  if (!tenantKey) return null;
  return <AnalyticsCourses tenantKey={tenantKey} mentorId="" basePath="/analytics" />;
}
RouteComponentbasePath?
/analyticsAnalyticsOverview—
/analytics/coursesAnalyticsCourses✓
/analytics/programsAnalyticsPrograms✓
/analytics/usersAnalyticsUsersStats—
/analytics/topicsAnalyticsTopicsStats—
/analytics/financialAnalyticsFinancialStats— (does NOT accept basePath)
/analytics/transcriptsAnalyticsTranscriptsStats—
/analytics/reportsAnalyticsReports—

All accept tenantKey (required) and mentorId="" ("" = org-wide, not undefined). Use MCP for full props: get_component_info("AnalyticsOverview"), etc.

Verify

pnpm build && pnpm test
pnpm dev &
npx playwright screenshot http://localhost:3000/analytics /tmp/analytics.png

Notes

  • Redux store must include mentorReducer and mentorMiddleware.
  • initializeDataLayer() takes 5 args (data-layer v1.2+).
  • @reduxjs/toolkit deduped via webpack aliases in next.config.ts.
  • To override the SDK gray background to white, in globals.css: .bg-\[\#f5f7fb\] {background-color: #fff!important;}

Analytics REST API

Base URL: ${dmUrl}/api/ai-analytics/ and ${dmUrl}/api/analytics/ — dmUrl is the first arg passed to initializeDataLayer() (sourced from NEXT_PUBLIC_API_BASE_URL). Auth: Authorization: Token <token> Live OpenAPI: https://api.iblai.app/dm/api/docs/schema/swagger-ui/

Two namespaces: /api/ai-analytics/ (AI/agent analytics — chat, costs, sentiment, topics, traces, audience/engagement/performance dashboards) and /api/analytics/ (LMS analytics — content, financial, ratings, sessions, time, users). Most endpoints scope to {org} (the platform/tenant key).

Prefer SDK RTK Query hooks over hand-rolled fetch. Use get_api_query_info("<hookName>") in MCP to find the relevant hook before writing custom UI.

{user_id} in /api/ai-analytics/orgs/{org}/users/{user_id}/... is the requesting admin's user id (RBAC + audit), not the user being queried — pass that via filter_user_id.

Common query parameters

ParameterDescription
start_date, end_dateISO 8601. Default range: last 7 days
date_filtertoday \7d \30d \90d \all_time \custom
granularityhour \day \week \month
department_id (with department_mode=1)Scope to a department
include_main_platformInclude main platform data. Default: true
mentor_unique_idFilter to one mentor/agent
usergroup_ids[]Filter to user groups
platform_keyFilter to a platform
page, page_size (or limit ≤ 100)Pagination

Audience — /api/ai-analytics/audience/orgs/{org}/

PathReturns
active-users/over-timeDaily active users with vs-prior-period delta
active-users/per-courseActive users per course
active-users/usersList of active users
enrollments/over-timeDaily enrollments
enrollments/per-courseEnrollments per course
enrollments/courses/{course_id}/over-timeTrend for one course
enrollments/courses/{course_id}/usersEnrolled learners
registered-users/, registered-users/over-time, registered-users/per-courseRegistered user count, trend, per-course

Engagement — /api/ai-analytics/engagement/orgs/{org}/

PathReturns
activityActivity heatmap
course_completion/over-time, course_completion/per-courseCompletion trend, per-course rate
time/over-time, time/per-course, time/average-perlearner-percourse, time/average-with-over-timeOrg-wide time aggregates
videos/, videos/over-timeOrg-wide video stats
courses/{course_id}/time/{average,detail,over-time,users}Course time metrics
courses/{course_id}/time/users/{user_id}/{detail,over-time}Per-learner time inside a course
courses/{course_id}/videos/, courses/{course_id}/videos/{over-time,summary,users}Course video metrics

Overview — /api/ai-analytics/overview/orgs/{org}/

active-users, average-grade, courses/completions, learners, most-active-courses, registered-users — top-level dashboard cards.

Performance — /api/ai-analytics/performance/orgs/{org}/

PathReturns
grading/average, grading/per-courseOrg-wide grade aggregates
courses/{course_id}/grading/{average,average-with-cutoff,detail,per-learner,summary}Per-course grade metrics

Per-Learner — /api/ai-analytics/perlearner/orgs/{org}/

PathReturns
learners, usersLearner roster (alternate routes)
users/{user_id}/{activity,info,last-access}Profile + activity
users/{user_id}/grades/per-courseGrades per course
users/{user_id}/overview/{engagement-index,grades/average,performance-index,time/over-time}Score cards
users/{user_id}/videos/{over-time,per-course}Video stats
users/{user_id}/courses/{course_id}/overview/{engagement-index,grade,performance-index,time/over-time}Per-course score cards
users/{user_id}/courses/{course_id}/grading/{cutoffs,detail,summary}Per-course grading
users/{user_id}/courses/{course_id}/videos, .../videos/over-timePer-course videos

AI Mentor / User — /api/ai-analytics/orgs/{org}/users/{user_id}/

Chat history

MethodPath
GET POSTchat-history/ (filter by start_date, end_date, mentor, sentiment, topics, filter_user_id, page)
GET PUT PATCH DELETEchat-history/{id}/
GETchat-history-filter/
GETconversation/, conversation-summary/
GETmy-chat-history/, my-chat-history/{id}/, my-chat-history-filter/
GET POSTmy-chat-history-report/ (export task)
GETmy-chat-history-report/{task_id}/, my-chat-history-report/{task_id}/download/

Mentors, costs, topics, sentiment, usage

GroupPaths
Mentorsmentor-detail/, mentor-summary/, total-users-by-mentor/, mentors/{mentor_unique_id}/cost/
Costscosts/{model,permentor,peruser}/, tenant-cost/, user-cost/
Topicsmost-discussed-topics/, topic-overview/, topic-statistics/, topics/summary/
Sentiment / feedbacksentiment-count/, user-sentiment/, rating-summary/, user-feedback/
Usageaverage-messages-per-session/, usage-summary/, overview-summary/, top-students-by-chat-messages/, user-cohorts-over-time/, user-metrics/, user-metrics-pie-chart/, registered-users-trend/
Observations / traces / transcriptsobservations/, observations/{id}/, traces/, traces/{id}/, transcripts/

Misc

PathReturns
/api/ai-analytics/costs/pertenant/Cost grouped by tenant
/api/ai-analytics/departments/orgs/{org}/Departments
/api/ai-analytics/user-groups/orgs/{org}/User groups

LMS Analytics — /api/analytics/

Accepts date_filter, granularity, metric, mentor_unique_id, platform_key, usergroup_ids, page, limit ≤ 100.

MethodPathReturns
GETcontent/Catalog content (`metric=course\program\pathway\skill`)
GETcontent/details/{content_id}/Per-item detail
GETconversations/Conversations
GETfinancial/, financial/details/, financial/invoice/Financial
GETlearners/, learners/list/, learner/detailsLearners
GETmessages/, messages/details/Messages
GETratings/, sessions/, time/, time-spent/user/, topics/, topics/details/, users/, users/details/Other
POSTorgs/{org}/time/update/Push time-on-platform

RBAC

Ibl.Analytics/Core/read (viewer) or Ibl.* (tenant admin). Per-learner and chat-history endpoints also require platform admin.

Example

curl "${dmUrl}/api/ai-analytics/audience/orgs/main/active-users/over-time?date_filter=30d" \
  -H "Authorization: Token ${TOKEN}"

curl "${dmUrl}/api/analytics/content/?metric=courses&date_filter=7d&include_overtime=true" \
  -H "Authorization: Token ${TOKEN}"

平台分布

Codex

36.83%
按下载量换算136

Claude

30.27%
按下载量换算111

Cursor

17.36%
按下载量换算64

Gemini CLI

9.35%
按下载量换算34

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

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