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openclaw-shrimpcardOpenClaw shrimpcard 图像

Agent Skill

openclaw-shrimpcard 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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

7,738

周安装

329

GitHub Stars

1

下载量

2,711
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:openclaw-shrimpcard(OpenClaw shrimpcard 图像)
来源仓库:https://github.com/chenghaofan1998/openclaw-shrimpcard
安装命令:
openclaw skills install openclaw-shrimpcard
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 openclaw-shrimpcard

简介

为 OpenClaw 生成符合 ShrimpCard 架构的 JSON 与图像输出。

  • 适用于需要标准化龙虾/虾卡视觉与数据结构的应用场景。
  • 支持参数化配置与模板匹配,确保输出格式一致。openclaw-shrimpcard 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 需准备图像素材与 JSON Schema,避免版权或格式错误。
  • 生成结果应校验数据完整性,再用于下游系统集成。

SKILL.md

name
openclaw-shrimpcard
description
Create ShrimpCard outputs for OpenClaw. Use when users ask to generate a lobster/shrimp card, need accurate JSON/image outputs matching the ShrimpCard schema, or need HTML rendering with a pixel-art header fallback when images are unavailable.

OpenClaw ShrimpCard

Overview

Generate accurate ShrimpCard JSON (and optional image/description) from user input and memory, validate the result against the schema, then render HTML when needed with a pixel-art header fallback if no image is available.

Workflow

  1. Gather required fields
  • Required: name, tagline, description, top_skills (3), owner.name, lobster_image_desc, card_id.
  • If any required info is missing, ask the user for it.
  1. Build the card object
  • Follow references/card-schema.json.
  • Ensure lobster_image_desc is a lobster/shrimp image description.
  • If an image is not available, set image.placeholder and keep lobster_image_desc.
  1. Validate before output
  • Run scripts/validate_card.py <json-file>.
  • If validation fails, fix the data and re-validate.
  1. HTML render (required when image generation fails or HTML is requested)
  • Use assets/card-template.html as the template.
  • Map schema JSON into window.__CARD_DATA__ (see references/html-mapping.md).
  • If no image URL/data_url is available, inject the pixel-art fallback from assets/pixel-lobster.svg as the header image.
  • Prefer scripts/render_card_html.py <card-json> --out shrimp-card.html to generate a ready-to-open HTML card.
  1. Output
  • If the user wants a file, write shrimp-card.json to disk.
  • Provide a JSON file and paste the JSON in the response.
  • If the user requests HTML, output shrimp-card.html.
  • If the user requests an image, either include an image URL/data_url or provide the image description for rendering. If generation fails, use the pixel-art fallback and render HTML instead.
  1. Image prompt assistance (optional)
  • If the user wants to self-generate an image, provide the prompt template from references/card-spec.md.
  • Remind them to capture and composite the QR into the footer square if a QR is provided.

Accuracy Rules

  • Do not invent owner details or contacts. Ask if missing.
  • Keep top_skills to exactly 3 items. They are capability tags chosen by OpenClaw (not necessarily most-used skills).
  • Keep text concise enough to fit the card layout.
  • If image generation fails, always fall back to the pixel-art header and still deliver a usable HTML card.

Resources

scripts/

  • validate_card.py: Validate JSON against required fields and constraints.
  • render_card_html.py: Inject ShrimpCard JSON into the HTML template with pixel-art fallback.

references/

  • card-schema.json: JSON schema.
  • sample-card.json: Example payload.
  • card-spec.md: Field requirements and style notes.
  • html-mapping.md: Schema-to-HTML mapping and pixel fallback rules.

assets/

  • card-template.html: Single-file HTML card template supporting window.__CARD_DATA__.
  • pixel-lobster.svg: Pixel-art fallback header image.

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

80.88%
按下载量换算2,193

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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