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Agent Skill · 研究检索

brightdata-brd-browser-debug(Brightdata brd 浏览器调试)

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。

brightdata-brd-browser-debug 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 39,733。

总安装 1,371周安装 56GitHub Stars 公开资料未说明下载 439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:brightdata-brd-browser-debug(Brightdata brd 浏览器调试)
来源仓库:https://github.com/meirk-brd/brightdata-brd-browser-debug
安装命令:
openclaw skills install brightdata-brd-browser-debug
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 brightdata-brd-browser-debug

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。

brightdata-brd-browser-debug 调试 Bright Data Scraping Browser 会话问题。适用于解决 Puppeteer/Playwright 会话异常与渲染失败场景。

使用 openclaw skills install brightdata-brd-browser-debug 安装,需开启浏览器日志。建议在测试环境复现问题后再接入生产流程以减少中断风险。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

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 brightdata-brd-browser-debug;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

brightdata-brd-browser-debug 怎么安装?

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

brightdata-brd-browser-debug 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。

brightdata-brd-browser-debug 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。

brightdata-brd-browser-debug 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。

brightdata-brd-browser-debug 用的人多吗?

公开数据是累计安装 1,371 次,近一周安装 56 次,下载 439 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。

brightdata-brd-browser-debug 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
brightdata-brd-browser-debug

Brightdata brd 浏览器调试 · 本页

1,371—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
brd-browser-debug
description
Debug Bright Data Scraping Browser sessions using the Browser Sessions API. Use this skill when the user encounters a Bright Data browser session error, puppeteer stack trace, failed scraper run, or asks about session bandwidth, duration, captchas, or connection issues. Also use when a Bright Data scraper produces unexpected results such as empty data, 0 items found, missing products, or fewer results than expected — session data can reveal whether the issue is network/proxy-side (blocks, captchas, redirects, timeouts) or client-side (selectors, extraction logic). Triggers on phrases like 'why did my session fail', 'debug my bright data session', 'check my scraping browser sessions', 'how much bandwidth did my scraper use', 'got 0 results', 'found 0', 'scraper returned empty', 'scraper not working', 'script didn't work', or when a Bright Data error code or brd.superproxy.io stack trace appears in the conversation. Requires BRIGHTDATA_API_KEY environment variable.
user-invocable
true

Bright Data — Browser Session Debugger

Diagnose Bright Data Scraping Browser sessions using the Browser Sessions API. Fetches live session data and performs smart triage: error diagnosis, bandwidth analysis, captcha reporting, and pattern detection across recent sessions.

Setup

Set your API key:

export BRIGHTDATA_API_KEY="your-api-key"

Get a key from Bright Data Dashboard → API Tokens.

No zone configuration needed — zone is returned as a field in session data.

Usage

List & triage recent sessions

Invoked as /brd-browser-debug with no arguments.

API reference: GET /browser_sessions

Fetching sessions

Start with a single call using limit=100 (the maximum) sorted by most recent:

GET https://api.brightdata.com/browser_sessions?limit=100&sort=timestamp&order=desc
Authorization: Bearer $BRIGHTDATA_API_KEY

Pagination: The response includes total, has_more, and next_offset. If has_more is true and the analysis requires more data (e.g. bandwidth outlier detection needs a larger sample), fetch the next page using offset=<next_offset>. Continue until you have enough data or has_more is false.

Available filters — apply when the user specifies a scope:

  • status=failed|finished|running — narrow to a specific session state
  • api_name=<zone> — filter to a specific Bright Data zone
  • target_url=<domain> — filter by target domain (e.g. ksp.co.il)
  • start_date / end_date — ISO 8601 datetime range
  • sort=timestamp|duration|bandwidth with order=asc|desc

If the user asks about a specific zone, date range, or domain — apply the relevant filter rather than fetching all sessions and filtering client-side.

Triage steps
  1. Present a health summary: total from the response, counts of finished / failed / running.
  2. Most recent session — always highlight it regardless of status (same detail level as single-session mode).
  3. Failed sessions — for each failure: session ID, timestamp, duration, bandwidth, then reason about the cause using the signals in the Diagnosing Failed Sessions section below.
  4. Pattern detection — if 3+ sessions share the same error.code, call it a systemic issue:

> "3 sessions failed with custom_headers — you are overriding a header Bright Data forbids. Remove page.setExtraHTTPHeaders() from your code."

  1. Bandwidth outliers — group sessions by target_url domain. For each domain with 3+ sessions, calculate the median bandwidth. Flag any session whose bandwidth exceeds 2× the median for that domain as an outlier, and note if it was a failed session that burned unusually high bandwidth before dying.
  2. Captcha activity — report how many sessions hit captchas and whether they were solved.
  3. Close with a one-line verdict: the most important finding and the most impactful fix.

Inspect a single session

Invoked as /brd-browser-debug <session_id>.

API reference: GET /browser_sessions/{session_id}

  1. Call:
   GET https://api.brightdata.com/browser_sessions/<session_id>
   Authorization: Bearer $BRIGHTDATA_API_KEY

Returns 404 if the session ID is not found — tell the user and stop.

  1. Present a deep-dive using the response fields:

- Status (status): running / finished / failed - Zone (api_name): the Bright Data zone that handled the session - Timestamp (timestamp): ISO 8601 — show in local-friendly format - Duration (duration): seconds (nullable) — flag if < 2 s on failure (session barely started) - Bandwidth (bandwidth): convert bytes → MB - Navigations (navigations): flag if 0 (nothing was loaded) - Captcha (captcha): one of solved / none / detected / failed — detected means a challenge appeared but was not solved; failed means solving was attempted but unsuccessful - Route: target_url → end_url — note significant drift (different domain, login wall, error page) - Error (error.code + error.message): reason about the cause using the signals in Diagnosing Failed Sessions below

  1. Close with a one-line verdict.

Auto-detect from conversation context

When a Bright Data browser issue appears in the conversation — including puppeteer stack traces, error codes, mention of brd.superproxy.io, the user describing a session failure, OR a scraper producing empty/unexpected results (e.g. "Found 0 categories", "Got 0 products", fewer items than expected):

  • If a session ID is visible in the output → run single-session deep-dive on it.
  • If no session ID is visible → run list & triage, filtering by the relevant target domain. Highlight the most recent session as the likely culprit.
  • Cross-reference the error or unexpected behavior seen in the conversation with what the API returns. A session that finished successfully with normal bandwidth but the scraper got 0 results points to a client-side selector/extraction bug, not a proxy issue.

Features

  • Smart triage: automatically groups sessions by failure pattern, not just lists them
  • Dynamic bandwidth outliers: compares sessions per domain using median, flags sessions exceeding 2× the median
  • Captcha reporting: shows captcha hit rate and solve rate
  • Error reasoning: reads session signals holistically to infer what went wrong
  • Zero config: reads API key from env var, no zone setup needed

Diagnosing Failed Sessions

Do not rely on the error code alone. Cross-reference all available session signals to reason about what went wrong:

  • Duration + navigations: a session that failed in < 2 s with 0 navigations never got past the connection phase — likely a configuration or auth issue. A session that ran for minutes before failing points to a runtime problem (blocked mid-scrape, idle timeout, network drop).
  • Bandwidth relative to other sessions: a failed session that consumed bandwidth similar to successful ones likely reached the target but failed during extraction. A failed session with near-zero bandwidth never loaded anything.
  • Captcha field: if captcha is detected but not solved, the session was stopped by an unsolved challenge — suggest enabling captcha solving on the zone.
  • target_url vs end_url: significant drift (different domain, login page, error page) means the session was redirected away from the intended target.
  • error.message: use the raw message text as-is to describe what happened — do not guess or invent meaning beyond what the message says. If the cause is unclear, direct the user to Bright Data support.

平台分布

OpenClaw

88.79%
按下载量换算390

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

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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