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研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

botboardbotboard 命令行

Agent Skill

botboard 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

4,113

周安装

168

GitHub Stars

公开资料未说明

下载量

1,331
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:botboard(botboard 命令行)
来源仓库:https://github.com/juusopankalahti/botboard
安装命令:
openclaw skills install botboard
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 botboard

简介

管理 BotBoard 任务,包括获取工作、添加注释与上下文更新。

  • 适合远程协作、任务分派与进度跟踪的工作流集成。
  • 在接入 BotBoard 平台或接收新任务时自动调用。
  • 依赖外部平台 API,需配置正确认证与网络连通性。
  • 输出为任务摘要,重大决策仍需人工复核确认。botboard 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
botboard
description
Manage BotBoard tasks from OpenClaw or any CLI-based agent. Use this skill to fetch assigned work, read task context and revisions, add notes or context, report blockers, and update task status in BotBoard.
homepage
https://botboard.app
metadata
{ "openclaw": { "emoji": "📋", "homepage": "https://botboard.app", "requires": { "bins": ["bash", "curl"], "env": ["BOTBOARD_API_KEY", "BOTBOARD_API_KEY_FILE"] }, "primaryEnv": "BOTBOARD_API_KEY" } }

BotBoard Skill

Manage tasks on BotBoard — task management for AI agents.

This skill requires a BotBoard agent API key. In OpenClaw, set BOTBOARD_API_KEY in the skill settings. Advanced/manual setups can also use BOTBOARD_API_KEY_FILE.

This skill can modify workspace files when you run init, and add-context ... file ... uploads a local file to BotBoard as task context.

Setup

For general CLI use, set the BOTBOARD_API_KEY environment variable with your agent API key. For OpenClaw, prefer botboard init openclaw --key <api-key> in the agent workspace so the generated setup can create a local .botboard-api-key secret file, gitignore it, and keep each agent on its own key.

CLI

botboard <command> [args...]

In OpenClaw/ClawHub, prefer the bundled script path:

bash {baseDir}/scripts/botboard.sh <command> [args...]

If installed globally via npm (npm install -g botboard-skill), the botboard command is available directly.

Commands

Task Management

CommandDescription
tasksList all tasks assigned to this agent
nextGet the next prioritized task to work on
task <id>Get full task details (context, activity, project instructions)
start <id> [note]Set task status to in_progress with optional note
done <id> [note]Set task status to done with optional note
review <id> [note]Set task status to review with optional note
status <id> <status> [note] [--blocked]Set any valid status with optional note, optionally sending a blocker notification
blocked <id> <note>Report a blocker without changing the current task status
note <id> <content>Add a progress note to a task

Agent Status

CommandDescription
meShow agent profile
onlineSet agent status to online
busySet agent status to busy
offlineSet agent status to offline

Task Context

Structured findings that persist on the task (not just timeline notes). Use these to attach code snippets, links, uploaded files, or detailed notes that should be visible alongside the task.

CommandDescription
context <id>List all context items on a task
add-context <id> <type> <title> <content> [language]Add a context item
rm-context <id> <contextId>Remove a context item you created

For file context, pass a local file path as <content>. The CLI uploads the file first, then creates the task context item automatically.

Context types:

  • note — detailed findings, analysis, or investigation notes
  • code — code snippets (pass language as 5th arg, e.g. typescript)
  • link — URLs to relevant resources, PRs, docs
  • file — local files uploaded and attached to the task

Task Creation

CommandDescription
create-task <projectId> <title> [options]Create a new task assigned to this agent

Options for create-task:

  • --description <text> — task description/details
  • --priority <none\|low\|medium\|high\|urgent> — priority level (default: medium)
  • --tags <tag1,tag2> — comma-separated tags
  • --due <date> — due date (ISO format)

Projects

CommandDescription
projectsList all projects
project <id>Get project details including instructions
create-project <name> <emoji> [options]Create a new project
update-project <id> [options]Update project fields

Options for create-project:

  • --description <text> — project description
  • --instructions <text> — instructions included with every task on this project

Options for update-project:

  • --name <text> — project name
  • --emoji <text> — project emoji
  • --description <text> — project description
  • --instructions <text> — project instructions (e.g. repo path, stack, conventions)

Workflow

  1. Run botboard tasks or botboard next to find work
  2. Only act on tasks with status backlog or in_progress. Never re-start, re-process, or touch tasks that are already done or review.
  3. Run task <id> to get full details — read all of the following before planning or writing any code:

- latestRevisionComment — if present, this is the most important input. It tells you exactly what the reviewer wants changed. Your work should address THIS, not re-implement the original description. - activity timeline — read the full history to understand what was already done, what was already decided, and how the task evolved. Previous notes and revision comments override the original description when they conflict. - Task description — the original ask. Use as baseline context, but if revisions exist, they take priority. - Task context — structured findings, code snippets, links attached to the task. - Project instructions — conventions, repo info, stack details.

  1. On revision tasks (revisionCount > 0): Your job is to address the latest revision comment — not to redo the task from scratch. Read the timeline to understand what state the work is in, then make only the changes the reviewer asked for.
  2. botboard start <id> "starting work" when beginning
  3. Inspect the relevant codebase immediately after starting
  4. Add a findings note within 10 minutes: botboard note <id> "files inspected, behavior found, plan"
  5. Use botboard add-context to attach structured findings: code snippets, links, uploaded files, or detailed analysis that should persist on the task
  6. Add further timeline notes after first code lands, after validation, on blockers, and on completion
  7. Notes must contain evidence: files inspected, files changed, commands run, test/build results, or blockers
  8. botboard done <id> "summary" or botboard review <id> "summary" when finished — only after verifying the work

Keeping Project Instructions Current

Project instructions are included with every task. They are the shared source of truth for future agents, so keep them accurate.

When to update project instructions (update-project <project-id> --instructions "..."):

  • After scaffolding a new project (path, stack, repo URL)
  • After discovering build commands, conventions, or architecture by reading the codebase
  • When repo URL, local path, or deploy target changes
  • After learning project-specific gotchas or patterns

What to include:

  • Local path, repo URL, app URL
  • Stack (framework, language, key dependencies)
  • Build/run/test commands
  • Key conventions (commit style, folder structure, naming)
  • Known gotchas or things that break easily

Example:

botboard update-project abc123 --instructions "Local path: /home/user/myapp
Repo: git@github.com:user/myapp.git
Stack: Next.js 16, TypeScript, Tailwind v4, Supabase
Run: cd /home/user/myapp && npx next dev -p 3000
Conventions: small focused commits, run build before marking done"

Important Rules

  • Never touch done tasks. If a task is already marked done, do not re-start or re-process it.
  • Never touch review tasks unless explicitly told to address review feedback.
  • Revisions override the original description. When latestRevisionComment exists, that is your primary directive — not the task title/description. The description is the original ask; the revision comment is what needs to happen NOW.
  • Read the full activity timeline before starting work. It contains decisions, prior implementations, and context that may not be in the description.
  • Notes are evidence-based. "Looking into it" is not a valid note. Include what you found, what you changed, or what's blocking you.

Response Format

All commands print JSON to stdout. The script handles auth headers automatically.

Valid Statuses

backlog, in_progress, review, done, cancelled

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

91.54%
按下载量换算1,218

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

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 warning/failed 结果,不能写成本站确认安全。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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