Token导航 LogoToken导航

Agent Skill · 研究检索

web-collection(网络收藏)

web-collection 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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。

web-collection 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 5,019。

总安装 28,305周安装 1,134GitHub Stars 公开资料未说明下载 9,163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
1.2.6

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:web-collection(网络收藏)
来源仓库:https://github.com/yiming1001/web-collection
安装命令:
openclaw skills install web-collection
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 web-collection

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。

通过浏览器插件严格同步闭环模式来源资料。支持本地桥接或云端调度两种运行模式。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。适用于需要高可靠性数据整理的应用场景。云模式下需考虑网络延迟与稳定性对结果的影响。web-collection 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 web-collection;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

web-collection 怎么安装?

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

web-collection 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。

web-collection 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。

web-collection 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。

web-collection 用的人多吗?

公开数据是累计安装 28,305 次,近一周安装 1,134 次,下载 9,163 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。

web-collection 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
web-collection

网络收藏 · 本页

28,305—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
web-collection
description
Browser plugin data collection via a local bridge or cloud dispatch to a connected local connector, in strict synchronous closed-loop mode. Cloud mode includes async command-result querying. Use for Douyin, TikTok, Xiaohongshu, Amazon, and Bilibili collection tasks.

Web Collection

Use this skill for browser-extension collection tasks on:

  • Douyin
  • TikTok
  • Xiaohongshu
  • Amazon
  • Bilibili

Human Tutorial

This skill is implementation-oriented. For end-user onboarding and step-by-step human instructions, use:

  • https://vcn5grhrq8y0.feishu.cn/wiki/BGUhwC0cKimwTJkXDSuc0YFBnib

When the user asks "how to use it" or needs UI-level operation guidance, prefer this tutorial and keep the response aligned with its wording.

For complex or ambiguous requests, read references/learning-guide.md before deciding what to ask or run.

Core Rules

  1. Use the user's normal Chrome environment, not the isolated openclaw browser profile.
  2. Prefer the connector flow over generic browser tooling.
  3. Never ask for configuration that is already present in environment variables.
  4. Local and cloud use the same recommended defaults and overall collection flow.
  5. Cloud adds only two extra required values: id and token.
  6. Default to synchronous closed-loop execution.
  7. Do not reply before the collection script finishes.
  8. Choose one execution mode first:

- local: talk to the local bridge directly and only run the local send-command script - cloud: call the cloud connector dispatch API and only run the cloud send-command script

  1. In cloud mode, do not rewrite the collection payload. Only wrap it in:

- device_id - action - payload

First-Time Setup

This skill uses one preferences file:

$OPENCLAW_STATE_DIR/skill-state/web-collection/preferences.json

Fallback:

$HOME/.openclaw/skill-state/web-collection/preferences.json

Helper script:

bash {baseDir}/scripts/export_preference.sh show
bash {baseDir}/scripts/export_preference.sh check
bash {baseDir}/scripts/export_preference.sh apply-recommended
bash {baseDir}/scripts/export_preference.sh set-key defaultConnectionMode cloud
bash {baseDir}/scripts/export_preference.sh set-key defaultCloudDeviceId desktop-local-smoke-fix
bash {baseDir}/scripts/export_preference.sh set-key defaultCloudToken <user_api_key>
bash {baseDir}/scripts/export_preference.sh set-key defaultExportMode csv

Required defaults:

  • defaultExportMode
  • defaultMaxItems
  • defaultFetchDetail
  • defaultDetailSpeed

Mode-specific defaults:

  • local

- no extra required key if the default local bridge URL works

  • cloud

- cloud base URL is fixed to https://i-sync.cn by default - defaultCloudDeviceId only when it is not already provided by environment variables - defaultCloudToken only when it is not already provided by environment variables

run.sh enforces this. If these are incomplete, collection must not start.

First-run flow

On first use:

  1. Determine the execution mode first.
  2. If the mode is cloud, collect these values only when they are not already available from environment variables or stored preferences:

- defaultCloudDeviceId - defaultCloudToken

  1. Then handle the common defaults:

- 导出方式 - 默认整理条数 - 是否默认整理详情 - 默认整理速度

  1. Ask only one question for the common defaults:

- 推荐配置 - 自己配置

  1. If the user chooses 推荐配置, run:
bash {baseDir}/scripts/export_preference.sh apply-recommended
  1. If the user chooses 自己配置, ask for all four values in one message, not one by one.
  2. Only continue when check passes.

Preferred cloud prompt:

检测到你要走云端分发,还需要这两个配置:
- device_id
- API token

请一次性发给我。

Preferred quick-reply prompt for common defaults:

常用配置还需要确认一次。
这些配置包括:
- 导出方式
- 默认整理条数
- 是否默认整理详情
- 默认整理速度
你可以直接用推荐配置,也可以自己配置。
[[quick_replies: 推荐配置, 自己配置]]

Preferred custom-config prompt:

好,我们一次性把默认配置定好。请直接按下面格式回复:

导出方式:CSV / 多维表格
默认整理条数:10 / 20 / 50 / 100
是否默认整理详情:是 / 否
默认整理速度:fast / medium / slow

说明:
- 多维表格:适合查看、筛选、分享
- CSV:适合本地保存
- 整理详情:开启后结果更完整,但一般更慢
- 整理速度:推荐 fast

Recommended defaults:

  • 运行位置:local
  • 导出方式:多维表格
  • 整理条数:20
  • 整理详情:true
  • 整理速度:fast

Cloud Mode

Use cloud mode when the collection request should be sent to the platform backend first, and then dispatched to the user's connected local connector.

Cloud responsibilities:

  • call /api/v1/connector/cloud/dispatch
  • authenticate with Authorization: Bearer <user_api_key>
  • include device_id
  • keep the collection body unchanged inside payload
  • enforce a strict cloud payload template before dispatch to avoid missing fields

- default fallback when missing: maxItems=20, mode=search, interval=300, fetchDetail=true, detailSpeed=fast

  • poll /api/v1/connector/cloud/commands/{command_id} for final status and result
  • if single-command query is unavailable, fallback to /api/v1/connector/cloud/commands?device_id=...
  • treat result + task_updates as the source of completion snapshot

Do not:

  • call the user's local 19820 port from the cloud path
  • rewrite payload semantics
  • mix local admin token logic into cloud requests

Connector Command Ladder

When collection fails, parameters look incomplete, or status is unclear, run connector checks in this order instead of guessing.

Layer 1: capability

  • GET /api/help
  • GET /api/routes
  • GET /api/filters (or platform/method scoped)

Layer 2: diagnostics

  • GET /api/status
  • GET /api/platform-state
  • GET /api/cloud/status
  • POST /api/preflight with the final request body

Layer 3: execution and tracking

  • POST /api/collect
  • GET /api/tasks/:id (local mode)
  • GET /api/v1/connector/cloud/commands/{command_id} (cloud mode, preferred)
  • GET /api/v1/connector/cloud/commands?device_id=... (cloud fallback)
  • POST /api/stop or POST /api/reset when stuck

Local command template (admin token required):

TOKEN="$(cat ~/.meixi-connector/bridge-admin-token.txt)"
curl -s -H "x-connector-admin-token: $TOKEN" "http://127.0.0.1:19820/api/status"

Cloud command template (async result):

curl -s -H "Authorization: Bearer <token_or_api_key>" \
  "https://i-sync.cn/api/v1/connector/cloud/commands/<command_id>"

Export Behavior

  • bitable

- run with --export-target bitable - expect export.tableUrl on success

  • csv

- run with --export-target csv - do not require a table link in the final reply

Entry Point

Preferred wrapper:

bash {baseDir}/scripts/run.sh ...

The wrapper:

  • runs scripts/preflight_check.sh first
  • applies stored preferences
  • enforces required setup
  • runs either local bridge mode or cloud dispatch mode
  • local mode dispatches only through scripts/collect_and_export_loop.sh
  • cloud mode dispatches only through scripts/cloud_dispatch_loop.sh
  • never mixes the local and cloud send-command scripts

Bundled Resources

  • scripts/preflight_check.sh

- validates required defaults before dispatch - treats environment-variable configuration as already satisfied and never asks for it

  • scripts/run.sh

- chooses exactly one dispatch path based on connection-mode - never mixes local and cloud send-command scripts

  • scripts/collect_and_export_loop.sh

- local-only send-command script

  • scripts/cloud_dispatch_loop.sh

- cloud-only send-command script

  • scripts/export_preference.sh

- stores reusable defaults and masks cloud token in human-readable output

  • references/learning-guide.md

- compact guidance for complex requests and asking rules

Common Commands

Douyin keyword search:

bash {baseDir}/scripts/run.sh \
  --platform douyin \
  --keyword "AI" \
  --ensure-bridge

Douyin keyword search via cloud dispatch:

bash {baseDir}/scripts/run.sh \
  --connection-mode cloud \
  --cloud-device-id desktop-local-smoke-fix \
  --cloud-token '<user_api_key>' \
  --platform douyin \
  --keyword "AI员工"

Amazon keyword search:

bash {baseDir}/scripts/run.sh \
  --platform amazon \
  --keyword "Chinese porcelain" \
  --ensure-bridge

Bilibili keyword search:

bash {baseDir}/scripts/run.sh \
  --platform bilibili \
  --keyword "古董" \
  --ensure-bridge

Platform Defaults

Wrapper defaults:

  • douyin => videoKeyword
  • tiktok => keywordSearch
  • xiaohongshu => keywordSearch
  • amazon => keywordSearch
  • bilibili => keywordSearch

Supported methods:

  • douyin: videoKeyword, creatorKeyword, creatorLink, creatorVideo, videoComment, videoInfo, videoLink
  • tiktok: keywordSearch, userVideo, tiktokComment, tiktokCreatorKeyword, tiktokCreatorLink
  • xiaohongshu: keywordSearch, creatorNote, creatorLink, creatorKeyword, noteLink, noteComment
  • amazon: keywordSearch, productLink, productReview
  • bilibili: keywordSearch, videoInfo, creatorVideo, bilibiliComment

Closed Loop

local mode:

  1. verify pluginConnected=true
  2. wait for idle state
  3. start /api/collect
  4. handle TASK_RUNNING via stop -> wait idle -> retry
  5. poll /api/tasks/<taskId> until completed or error
  6. if export is required, verify the expected export result

cloud mode:

  1. query /api/v1/connector/cloud/status?device_id=...
  2. dispatch action=collect to /api/v1/connector/cloud/dispatch
  3. keep querying command result (/api/v1/connector/cloud/commands/{command_id} preferred)
  4. after each poll, refresh current collection state from command status
  5. wait for completed or terminal error state
  6. on completion, read result and task_updates for records/count/export snapshot and include key fields in the final reply

Quick query examples:

curl -H "Authorization: Bearer <token_or_api_key>" \
  "https://i-sync.cn/api/v1/connector/cloud/commands?device_id=<device_id>"
curl -H "Authorization: Bearer <token_or_api_key>" \
  "https://i-sync.cn/api/v1/connector/cloud/commands/<command_id>"

Final Reply

When successful:

  1. Mention whether the run used local or cloud mode.
  2. If cloud mode was used, include the command status.
  3. If export mode is bitable and export.tableUrl exists, include the table link first.
  4. If export mode is csv, explicitly say export mode is CSV.
  5. Then include:

- status - export status - collected count - short analysis

When bitable export is expected but no table link exists, explicitly say export did not finish correctly.

Troubleshooting

  • pluginConnected=false

- Chrome/plugin is not connected to the bridge

  • bridge/status mismatch

- in local mode, ensure collect, status, and stop all use the same local base URL

  • cloud dispatch auth failed

- check defaultCloudToken

  • cloud dispatch could not reach device

- check defaultCloudDeviceId and whether the local connector is online

  • TASK_RUNNING

- use stop + retry, or --force-stop-before-start

  • long record output hiding key fields

- trust the connector loop's compact summary output rather than raw task JSON

平台分布

OpenClaw

97.11%
按下载量换算8,898

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

可疑

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。

继续浏览同类 Skills