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lba磅巴

Agent Skill

lba 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。

总安装

9,937

周安装

402

GitHub Stars

公开资料未说明

下载量

3,120
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:lba(磅巴)
来源仓库:https://github.com/hassam-powerhouse/lba
安装命令:
openclaw skills install lba
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 lba

简介

lba 自动化 Linear.app 的工作流程并通过浏览器界面进行操作。

  • 适用于基于 UI 的任务如工单创建、状态更新与进度跟踪。
  • 支持快照比对与元素定位以确保操作准确性。lba 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需绑定有效的 Linear 账户并授予相应操作权限。
  • 注意频繁调用可能受限于目标平台的速率限制策略。

SKILL.md

name
linear-browser-automation
description
Automate Linear.app workflows in the OpenClaw-managed browser profile using browser tool actions (open, navigate, snapshot, act). Use when users want UI-based Linear automation such as triage, issue updates, comments, filtering, bulk state changes, and visual verification in the managed OpenClaw browser.

Linear Browser Automation

Automate Linear workflows through UI interactions in the OpenClaw-managed browser.

Execution mode

  • Always use browser profile: openclaw
  • Always run actions against host browser control
  • Reuse an already-open, logged-in Linear tab in the managed browser whenever available.
  • Do not open a new Linear tab if an existing authenticated Linear tab can be reused.
  • Keep actions in one tab unless explicitly opening a new tab is required by user request.

Standard workflow

  1. Ensure managed browser is running (profile="openclaw").
  2. Check existing open tabs in managed browser and prefer a tab already on Linear.
  3. If an existing Linear tab is found:

- focus and reuse that tab - snapshot and detect auth state

  1. If no Linear tab exists, open/navigate to https://linear.app/.
  2. If on public landing page / unauthenticated state:

- automatically navigate to /login - show a browser alert asking the user to log in to continue - wait for authenticated dashboard/workspace state

  1. After login is complete and dashboard is visible, continue automatically from the same task context and same tab.
  2. Resolve references from the snapshot.
  3. Execute deterministic actions (click/type/select/press).
  4. Re-snapshot and verify expected state before finishing.

Required-input policy (hard rule)

For all Linear actions, always collect and confirm required details in chat before executing.

1) Create issue

Required fields:

  1. Team (or project context that implies team)
  2. Title

Optional fields (prompt if missing): description, priority, assignee, labels, due date.

Before submission, always present a summary block and ask:

  • Proceed? (yes/no)

Only proceed on explicit yes. Any other response (no/cancel/edit/silence) means do not submit.

2) Edit issue and comment on issue

Required fields:

  1. Team name
  2. Issue number/identifier (e.g., POW-123)

Hard rule:

  • Do not run these automations when either team name or issue number is missing.
  • If the user gives only title text or a partial reference, ask for the team name and issue number.
  • Resolve and open the exact issue from the provided team + issue number before making changes.

3) Move issue state

Non-negotiable required fields:

  1. Team name
  2. Issue number/identifier (e.g., POW-123)
  3. New state/status (e.g., Todo, In Progress, Done)
  4. Comment text to add on the issue

Valid issue statuses (only these are accepted):

  • Backlog
  • Todo
  • In Progress
  • Done
  • Canceled
  • Duplicate

Hard rule:

  • Do not run move-state automation when any one of these is missing.
  • If state is not explicitly provided, ask for it and wait.
  • If comment text is not explicitly provided, ask for it and wait.
  • Reject any state value not in the valid-status list and ask user to pick one valid option.
  • Do not infer or auto-pick a state unless user explicitly instructs you to choose one.
  • Resolve the exact issue from team + issue number first, then apply the requested new state and add the comment.

Priority validation rule

For any automation that sets or updates issue priority, only accept these values:

  • Urgent
  • High
  • Medium
  • Low

Hard rule:

  • Reject any other priority value and ask for one valid option.

Required-input conversation contract

When user requests a new issue:

  1. Check whether required fields are already provided.
  2. Ask only for missing required fields first.
  3. Ask optional fields (or accept defaults).
  4. Present final summary:

- Team/Project - Title - Description - Priority - Assignee - Labels - Due date

  1. Ask Proceed? (yes/no).
  2. Submit only after yes.

When user requests edit/comment:

  1. Check for team name and issue number first.
  2. Ask for whichever is missing.
  3. Confirm target in one line (e.g., Target issue: POW-123 (Powerhouse)).
  4. Execute only after target resolution is unambiguous.

When user requests move-state:

  1. Check for team name, issue number, explicit new state, and comment text.
  2. Ask for whichever is missing.
  3. Confirm target, destination, and comment in one line (e.g., Target issue: POW-123 (Powerhouse) → In Progress | Comment: <text>).
  4. Execute only after target resolution, new state, and comment are unambiguous.

Safety + reliability rules

  • Prefer stable selectors/refs from fresh snapshot before acting.
  • Re-snapshot after major UI transitions.
  • If unauthenticated state appears, auto-navigate to login and trigger an in-browser alert instructing the user to log in.
  • After user login completes and dashboard is detected, resume the task automatically.
  • For destructive actions (delete/archive), require explicit confirmation.
  • If team/project context is ambiguous, ask before acting.

Supported automations

  • Open Linear and verify dashboard loaded
  • Search/filter issues (team, assignee, state, label)
  • Create new issue (with required-input policy)
  • Edit issue fields (title, description, priority, due date, labels)
  • Move issue state (Backlog/In Progress/Done)
  • Add comments
  • Bulk triage (limited batch with confirmation)
  • Visual verification (post-action snapshot checks)

Example test prompts (one per supported automation)

Use these prompts verbatim (or with your own team/issue values) to test each supported automation.

1) Open Linear and verify dashboard loaded

"Using the linear-browser-automation skill in the OpenClaw-managed browser, open Linear and verify the workspace dashboard is loaded for team <team_name>. Return the current page URL, visible workspace/team name, and whether auth is active."

2) Search/filter issues

"Using the linear-browser-automation skill in the OpenClaw-managed browser, list issues for team <team_name> filtered by assignee <assignee_name>, state <state_name>, and label <label_name>. Return issue identifier, title, state, assignee, labels, due date, and URL. If no issues match, say No matching issues found."

3) Create new issue

"Using the linear-browser-automation skill in the OpenClaw-managed browser, create a new issue in team <team_name> with title <issue_title>. Set priority <priority_name>, assignee <assignee_name>, label <label_name>, and due date <due_date_yyyy-mm-dd>. Show a summary and ask Proceed? (yes/no) before submitting."

4) Edit issue fields

"Using the linear-browser-automation skill in the OpenClaw-managed browser, edit issue <issue_number> in team <team_name>. Update title to <updated_issue_title>, set priority to <priority_name>, set due date to <due_date_yyyy-mm-dd>, and ensure label <label_name> is applied. Return issue identifier, updated title, state, priority, assignee, labels, due date, and URL."

5) Move issue state

"Using the linear-browser-automation skill in the OpenClaw-managed browser, move issue <issue_number> in team <team_name> to state <new_state> and add this comment: <comment_text>. Return issue identifier, title, previous state, new state, assignee, labels, due date, comment posted, and URL."

6) Add comments

"Using the linear-browser-automation skill in the OpenClaw-managed browser, add this comment to issue <issue_number> in team <team_name>: <comment_text>. Return issue identifier, title, assignee, current state, comment text posted, and URL."

7) Bulk triage

"Using the linear-browser-automation skill in the OpenClaw-managed browser, triage up to <max_items> issues in team <team_name> where state is <source_state> and assignee is empty. For each selected issue, set priority to <priority_name> and add label <label_name>. Show the candidate list first, ask for confirmation, then apply updates and return the changed issues with before/after fields."

8) Visual verification

"Using the linear-browser-automation skill in the OpenClaw-managed browser, open issue <issue_number> in team <team_name> and perform visual verification only (no edits). Return what is visible for title, state, priority, assignee, labels, due date, and URL, and explicitly state whether each verification check passed or failed."

Suggested command patterns (agent-side)

Open Linear in managed profile

  • start browser (profile="openclaw")
  • open https://linear.app/

Reuse existing tab

  • navigate current targetId to target URL

Interaction cycle

  • snapshot (refs=aria preferred)
  • act (click/type/select/press)
  • snapshot and verify

Failure handling

  • Missing element/ref:

- refresh snapshot - retry once with updated refs

  • Navigation/login interruption:

- pause and ask user to complete auth/MFA

  • Ambiguous target:

- ask for disambiguation (team/project/issue)

  • Missing required issue fields:

- keep prompting until provided or user cancels

  • No explicit yes on submit confirmation:

- do not submit

Completion report format

Return:

  • actions performed
  • items changed (issue IDs/titles if visible)
  • verification checks passed/failed
  • any manual follow-up needed

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.12%
按下载量换算2,968

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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