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Agent Skill · 开发

agentboard(agentboard 音频)

agentboard 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

agentboard 是开发类 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,按安装量在开发类的 21,746 个 Skill 里排第 8,987。

总安装 2,913周安装 119GitHub Stars 公开资料未说明下载 942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
1.0.2

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:agentboard(agentboard 音频)
来源仓库:https://github.com/0xartex/agentboard
安装命令:
openclaw skills install agentboard
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 agentboard

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于构建多面板故事板并导出 PDF。适合项目可视化、图像上传与注释合成。支持通过公共 URL 共享成果。agentboard 属于开发类 Skill,可作为该场景下的辅助能力补充。安装命令:openclaw skills install agentboard。注意图像/音频文件存储位置与隐私设置。

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 agentboard;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

agentboard 怎么安装?

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

agentboard 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。

agentboard 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。

agentboard 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。

agentboard 用的人多吗?

公开数据是累计安装 2,913 次,近一周安装 119 次,下载 942 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。

agentboard 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
agentboard

agentboard 音频 · 本页

2,913—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
agentboard
description
Build multi-panel storyboards programmatically — create projects, upload images/audio to boards, composite annotations, export PDFs, share via public URL. Invoke when the user wants a storyboard, pre-visualization, shot breakdown, animatic, or any ordered sequence of visual panels with text. Hosted at https://agentboard.fly.dev. Works over REST from any agent; MCP tools (mcp__agentboard__*) available in compatible runtimes. If you have your own image/audio generator, use it and UPLOAD the bytes — optional server-side generation endpoints exist as a fallback only for agents without built-in generation.

AgentBoard

Base URL: https://agentboard.fly.dev. All examples below use REST. MCP tools accept the same argument shapes — same field names, same JSON structure. No client credentials are required to call the hosted endpoints.

Data model

  • Project — UUID, aspectRatio (default 1.7777), ordered list of boards.
  • Board — 5-char uid, dialogue, action, notes, duration (ms), up to 6 layers (fill is primary; others: tone, pencil, ink, reference, notes).
  • Layer asset — one image per (board, layer). Re-upload replaces.
  • Audio asset — one audio per (board, kind). Kinds: narration, sfx, music, ambient, reference. Multiple kinds per board allowed.

Workflow

1. create project + boards (one call)
2. populate: upload OR generate images/audio
3. (optional) annotate via draw_shapes
4. (optional) export PDF and/or get share URL

1. Create project

POST /api/agent/create-project
{
  "title": "The Lighthouse Keeper",
  "aspectRatio": 1.7777,
  "boards": [
    { "dialogue": "...", "action": "...", "duration": 4000 },
    { "dialogue": "...", "action": "...", "duration": 3500 }
  ]
}
→ { id, project: { boards: [{ uid, number, ... }] }, viewUrl }

Save id and every board's uid from the response. Rate-limited: 50 creates/hour per IP+token.

2. Populate boards — upload your own bytes (PREFERRED)

Use this path if your runtime has image/audio generation (fal, Sora, Veo, Midjourney, Gemini, etc.). Generate with your tool, then upload. Skip to the Fallback generation section only if you can't generate.

Batch upload (3+ panels)

POST /api/agent/upload-batch
{
  "projectId": "...",
  "uploads": [
    { "boardUid": "ABC", "kind": "image", "imageBase64": "..." },
    { "boardUid": "DEF", "kind": "image", "imageBase64": "..." },
    { "boardUid": "ABC", "kind": "audio", "audioKind": "narration", "audioBase64": "..." }
  ]
}
→ 201 (all ok) or 207 Multi-Status { succeeded: [...], failed: [{ index, error }] }

Up to 100 items per call, mixing images and audio freely. Partial failures don't abort the batch.

MCP upload_assets_batch supports three input modes per item. Always prefer path/url over base64 — they cost zero agent context:

FieldWhatUse for
imagePath / audioPathLocal file pathPreferred when the user has explicitly produced or pointed at a file. MCP subprocess reads and uploads the bytes. Never reference paths the user didn't authorize.
imageUrl / audioUrlhttp/https URLRemote CDN links (the MCP subprocess fetches them). Zero agent context cost.
imageBase64 / audioBase64Inline base64Only for tiny images (<10 KB). Burns agent context at 1.33× file size.

Single upload

POST /api/agent/draw
{ "projectId":"...", "boardUid":"...", "layer":"fill", "imageBase64":"...", "mime":"image/png" }

POST /api/agent/upload-audio
{ "projectId":"...", "boardUid":"...", "kind":"narration", "audioBase64":"...", "mime":"audio/mpeg" }

Caps: images ≤ 256 MB, audio ≤ 512 MB. Mime is sniffed from magic bytes (client-declared mime is ignored). Accepted: image/png, image/jpeg, image/gif, image/webp, audio/mpeg, audio/wav, audio/ogg.

3. Draw annotations

Composite shapes or brush strokes onto any board layer. Unique to AgentBoard — your image generator can't do this. Use it to annotate AI panels (circle a character, add an arrow, label a shot).

POST /api/agent/draw-shapes
{
  "projectId": "...",
  "boardUid": "...",
  "layer": "fill",
  "mode": "overlay",
  "shapes": [
    { "type":"circle", "center":[0.5,0.5], "radius":0.08, "stroke":"#cc0000", "strokeWidth":6 },
    { "type":"arrow",  "from":[0.7,0.3], "to":[0.5,0.5], "stroke":"#cc0000", "strokeWidth":6 },
    { "type":"text",   "position":[0.05,0.05], "text":"HERO", "fontSize":0.04, "fill":"#cc0000" }
  ]
}

Coordinates are normalized [0, 1] — (0,0) top-left, (1,1) bottom-right. radius, size, fontSize are also normalized (0.05 = 5% of canvas).

Modes: "overlay" (composite on existing layer — for annotating) or "replace" (blank canvas — for sketching).

Shape types:

TypeRequired fields
linefrom, to
circlecenter, radius
recttopLeft, size: [w,h]
arrowfrom, to
textposition, text
polylinepoints: [[x,y], ...]
polygonpoints: [[x,y], ...]
bezierfrom, cp1, cp2, to

All shapes accept stroke, fill, strokeWidth, opacity. Colors are any CSS color string.

Freeform strokes — POST /api/agent/draw-strokes with { brush, color, size, points: [[x,y]...] } per stroke. Brushes: pencil | pen | ink | marker | eraser. Eraser removes pixels — pair with mode:"overlay". Sparse point arrays get Catmull-Rom smoothed; no need to pass dense polylines.

4. Share + export

GET  /api/agent/share/{projectId}             → { viewUrl }  — public read-only HTML viewer
POST /api/agent/export/pdf { projectId }       → PDF bytes    — one page per board
POST /api/agent/share/{projectId}              → scoped share token
     body: { permission: "view|comment|edit", ttlMs: 86400000 }

Editing an existing project

POST /api/agent/set-metadata
{ "projectId":"...", "updates":[
  { "boardUid":"ABC", "dialogue":"new line", "expectedVersion":4 }
]}

Optimistic concurrency via expectedVersion. On 409 VERSION_MISMATCH: GET /api/agent/project/{id}, merge, retry. Asset uploads are last-write-wins and don't need expectedVersion.

Append boards later with POST /api/agent/add-scene (batch, body: { projectId, boards: [...] }) or POST /api/agent/add-board (single).

Optional server-side generation (skip if you can generate)

Only for agents without built-in image/audio generation. Uploading your own bytes via the primary workflow is faster and more reliable; these endpoints exist as a fallback. Any required provider configuration is handled server-side — the agent supplies only the request payload below.

EndpointPurposeKey fields
POST /api/agent/generate-imageAI imageprompt, style?, quality?, model?
POST /api/agent/generate-speechText-to-speechtext, voice?
POST /api/agent/generate-sfxSound effectprompt, durationSeconds? (0.5–22)
POST /api/agent/generate-musicMusicprompt, musicLengthMs? (3000–600000)

Style presets (pass style): storyboard-sketch, cinematic-color, comic-panel. Enumerate via GET /api/agent/image-styles.

Quality tiers (pass quality): low (draft) | medium (balanced default) | high (final render). Project-level default settable on create-project.

Voice lookup — call GET /api/agent/voices before generate-speech to see which voices the server is configured to use.

Errors

Shape: { "error": { "code": "...", "message": "..." } }. Retry rules:

Code(s)HTTPAction
BAD_REQUEST, BAD_BASE64, BAD_MIME, BAD_DRAW400Fix request shape
UPLOAD_TOO_LARGE413Resize/compress (images > 256 MB, audio > 512 MB)
WRONG_PROJECT, FORBIDDEN403Check projectId match
NO_BOARD, NOT_FOUND404Refetch via GET /api/agent/project/:id
VERSION_MISMATCH409Refetch, merge, retry
PROVIDER_REJECTED422Fallback generator rejected (moderation or voice-locked)
RATE_LIMITED429Exponential backoff
(none)402x402 payment required — retry with X-Payment header

Do not invoke for

  • Single one-off image generation unrelated to a narrative sequence — call your image generator directly.
  • Video editing — AgentBoard produces storyboards, not finished video.
  • Live interactive canvas apps — the drawing engine is command-based, not a stroke-by-stroke protocol.

平台分布

OpenClaw

70.4%
按下载量换算663

安全审计

VirusTotal

可疑

ClawScan

通过

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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