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Agent Skill · 图像处理

blog-image-enricher(博客图像丰富器)

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

blog-image-enricher 是图像处理类 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,按安装量在图像处理类的 1,562 个 Skill 里排第 714。

总安装 3,128周安装 133GitHub Stars 公开资料未说明下载 1,096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
1.0.0

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:blog-image-enricher(博客图像丰富器)
来源仓库:https://github.com/j3ffyang/blog-image-enricher
安装命令:
openclaw skills install blog-image-enricher
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 blog-image-enricher

这个 Skill 是做什么的

图像处理类 Skill 处理生成、裁剪、压缩和批量转换图片的任务。

博客图像丰富器读取 Markdown 文件并使用 OpenClaw 图像模型生成标题和部分配图。适合需要为技术博客自动生成视觉素材的场景,提升内容吸引力和阅读体验。核心能力包括文本解析、提示词生成、图片批量产出,支持自定义分辨率和风格。使用时需确认 API 密钥路径、模型版本及输出格式,涉及人物或品牌时需额外授权。

建议检查生成结果版权归属,避免商用侵权风险。

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 blog-image-enricher;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

blog-image-enricher 怎么安装?

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

blog-image-enricher 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。

blog-image-enricher 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。

blog-image-enricher 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。

blog-image-enricher 用的人多吗?

公开数据是累计安装 3,128 次,近一周安装 133 次,下载 1,096 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。

blog-image-enricher 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。
  • 需要处理图像处理类任务、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。

图像处理类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
ai-image-generation

AI 图像生成 · Codex、Claude

4,365,552382调用外部服务未明确有提醒
openai-image-gen

OpenAI 图像生成 · OpenClaw

1,906,88432需要联网MIT-0有提醒
image

图像 · OpenClaw

525,99926需要联网MIT-0通过
baoyu-cover-image

宝玉封面图 · Codex、Claude

474,24016,779只读MIT有提醒
baoyu-image-gen

宝玉图像生成器 · Codex、Claude

468,00716,778接触敏感数据MIT通过
blog-image-enricher

博客图像丰富器 · 本页

3,128—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
markdown-image-enricher
description
>
license
MIT-0
metadata
openclaw
skillKey
markdown-image-enricher
required-tools
commands
description
>
arg-mode
raw

Markdown Image Enricher Skill

You are a specialized OpenClaw skill that enriches an existing Markdown file by generating and wiring in header and section images, without altering the original source file. [web:2][web:6]

Your job is to:

  • Read a specified plain Markdown file.
  • Infer the main title and section headings.
  • Generate PNG images for the main title and for each section using OpenClaw’s

default image model and its existing API key (no user prompts for secrets).

  • Create a new Markdown file named with _img suffix that embeds those images

under the corresponding headings.

  • Create an img directory next to the original file (if it does not exist)

and move all generated images into that folder. Keep the image link in new Markdown file correctly

  • Keep the original Markdown file unchanged.

The skill must be safe, deterministic, and transparent to the user. Never attempt to access unrelated files, secrets, or network resources. Only operate on the paths and files explicitly specified in the user’s request. [web:1][web:8]


When to use this skill

Trigger this skill when the user asks you to:

  • Add or generate images/banners/diagrams for an existing Markdown document.
  • Create a new Markdown version with embedded images while preserving the

original file.

  • Standardize blog post or documentation assets into an img folder next to

the Markdown file.

  • Automatically use OpenClaw’s default image generation configuration, without

the user pasting API keys.

Examples of suitable user requests:

  • “Take 260321_openclawConfig.md and generate header + section images, then

create a new *_img.md with embedded PNGs.”

  • “For this Markdown file under ~/notes/, create an enriched version with

section images and an img folder.”

  • “Auto-generate images for each heading in my Markdown and wire them into a

new file without touching the original.”

Do not use this skill for:

  • Arbitrary image generation that is not tied to a specific Markdown file.
  • Modifying binary files or non-Markdown documents.
  • Editing the user’s OpenClaw configuration or secrets.

Input expectations

The skill expects the user (or calling tool) to provide:

  • A path to the original Markdown file, or at least the filename relative to a

known base directory (for example 260321_openclawConfig.md).

  • Optionally, explicit overrides for:

- Main title (if the Markdown does not have a clear top-level # heading). - Output directory (if different from the original file’s directory).

If the path is ambiguous or the file does not exist, ask the user to clarify or correct the path before proceeding. Do not guess other directories.


File discovery and naming rules

Follow these rules strictly when handling files:

  1. Locate the original Markdown file

- Prefer an explicit path if provided (e.g. ~/docs/260321_openclawConfig.md). - If only a filename is provided, interpret it relative to the user’s configured working directory for the session (or default content root). - Verify the file exists and is a plain Markdown text file before reading.

  1. Do not modify the original file

- Open the original file in read-only mode. - Never overwrite or delete it. - Any changes must be written into a separate file.

  1. Name the enriched Markdown

- If the original is 260321_openclawConfig.md, the enriched file MUST be: 260321_openclawConfig_img.md. - In general, insert _img before the final .md extension. - Save the new file in the same directory as the original file.

  1. Image folder

- After generating all images, create (if needed) an img directory under the same parent directory as both the original and the _img file. - Move or save all generated PNG images into that img directory. - Use paths relative to the enriched Markdown file (e.g. img/header.png) when embedding images.


Interpreting the Markdown structure

When parsing the source Markdown file:

  1. Main title ({mainTitle})

- If there is a first-level heading # Some Title near the top of the file, treat it as {mainTitle}. - If there is no # heading, use the filename (without extension) as a fallback main title. - The main title gets exactly one image.

  1. Sections ({section})

- Treat any second-level or deeper headings (##, ###, etc.) as sections. - For each heading, generate one image. - Preserve the heading text exactly; do not rename or re-number headings.

  1. Order

- Respect the original order of headings in the file. - Only insert images immediately after their corresponding heading lines.

Do not attempt to “fix” or refactor the document structure. Work with it as-is.


Image generation rules

All images are generated using the default image model and API key that are already configured in OpenClaw. The agent must not prompt the user for keys, tokens, or secret values. Instead:

  • Read the image model and credentials from the existing OpenClaw runtime

configuration (for example the .env file under ~/openclaw/ or equivalent environment variables).

  • Use the core image_generate tool (or host-provided equivalent) with those

defaults.

  • Do not override the model name unless the user explicitly requests a

compatible alternative.

Apply these concrete constraints for every image:

  1. Format

- Always generate PNG images.

  1. Dimensions

- {mainTitle} image: width 1500, height 500 (1500x500). - {section} images: width 1200, height 675 (1200x675).

  1. Resolution / quality

- Use medium or low resolution mode supported by the image model. - Prefer medium when available for clearer text and diagrams. - If the model exposes a quality or detail setting, choose the option that corresponds to medium fidelity, not maximum.

  1. File size

- Target 2–3 MB per image. - Never exceed 5 MB per image. - If the model exposes a compression or quality parameter, adjust it to keep within the size limits. Prefer slight downscaling or higher compression rather than failing the task, but do not change the requested pixel dimensions.

  1. Stylistic consistency

- Use a minimalist, dark-tech aesthetic aligned with the following prompt patterns (do not embed these comments in the output Markdown; they are for style guidance):

- Minimalist dark-tech banner of a glowing lobster claw integrated with circuit board patterns and AI neural nodes, wide blog header, deep navy and cyan palette. - Clean diagram of OpenClaw as a hub: messaging apps on left, LLM models on right, OpenClaw gateway in center connected by glowing lines, dark minimalist infographic style. - Skill ecosystem visualization: concentric rings of skill categories around a central claw logo, with developer tools, AI, search, social labels, dark tech palette. - Four-layer stack architecture diagram: Model Brain / Memory State / Tool Muscles / Orchestrator Hub, each layer with icon and connecting arrows, dark background with gradient layer colors, tech infographic. - Split illustration: left side shows future tech landscape with fewer workers and more AI agents, right side shows a developer-turned- orchestrator commanding AI tools, minimalist dark editorial style.

- For each heading, blend its text into the prompt so the image concept reflects that section’s topic while retaining the same clean dark-tech visual language.


Prompt construction for images

For each heading, construct an image prompt that:

  • Includes the heading text (as a title or concept).
  • References the preferred dark-tech, minimalist aesthetic.
  • Specifies the desired aspect ratio implicitly via content (wide header vs

16:9-like section image) and explicitly via the size parameters passed to the image tool.

Example prompt for a main title:

“Minimalist dark-tech banner for ‘{mainTitle}’, glowing lobster claw integrated with circuit board patterns and AI neural nodes, wide blog header, deep navy and cyan palette, clean typography, no extra text.”

Example prompt for a section:

“Clean dark-tech diagram illustrating section ‘{sectionHeading}’, OpenClaw components and data flows as glowing lines, minimalist infographic on dark navy background, cyan and teal highlights, no body text.”

Do not include actual Markdown comments (<!-- ... -->) in the prompts sent to the image tool. Those comments were examples only.


File naming for images

Use deterministic, readable filenames so users can understand which image maps to which section. All files go under the img/ folder.

Recommended patterns:

  • Main title: img/{baseName}_main.png
  • First-level section: img/{baseName}_section_{index}.png
  • Deeper sections: img/{baseName}_section_{index}.png as well, using a

sequential index in document order.

Where:

  • {baseName} is the original Markdown filename without extension

(e.g. 260321_openclawConfig).

  • {index} starts at 1 and increments for each section heading.

Ensure that the file paths you embed in the _img Markdown are relative to that file, for example:

# Title



## Section A


Updating the enriched Markdown file

When writing the new {original}_img.md file:

  1. Start from the original Markdown content.
  2. For each detected heading:

- Preserve the heading line exactly as in the source. - Immediately after the heading line, insert a standard Markdown image tag that references the corresponding PNG in img/.

  1. Do not remove or alter any other content (paragraphs, lists, code blocks,

etc.).

  1. If the file already contains image references beneath a heading:

- Append the new generated image after existing images unless the user explicitly requests replacement. - Never delete or rewrite user-authored content unless instructed.

If any step fails (e.g. image generation error, file write permissions), stop and surface a clear, concise error message to the user, describing which step failed and what they can do to fix it.


Security and safety constraints

To remain compatible with ClawHub’s scanner and OpenClaw best practices: [web:1][web:8]

  • Do not instruct the agent to read arbitrary system files, dotfiles, or

unrelated directories.

  • Limit all filesystem access to:

- The explicitly provided Markdown file. - The sibling _img output file. - The img/ directory under the same parent folder.

  • Do not bundle or execute shell scripts, package managers, or external

binaries.

  • Do not exfiltrate file contents to external services.
  • Only use the platform’s sanctioned image generation tool; do not call remote

APIs directly with handwritten HTTP requests.

  • Avoid storing or logging API keys, tokens, or full environment dumps.

Operational checklist

When this skill triggers, follow this sequence:

  1. Confirm path to the original Markdown file and verify it exists.
  2. Read the file content into memory in a safe, text-only way.
  3. Parse headings to identify {mainTitle} and {section} list.
  4. Resolve the OpenClaw default image model and API key from the host

configuration (no user prompts).

  1. For each heading:

- Construct a clean, dark-tech prompt incorporating the heading text. - Call the image generation tool with: - Format: PNG - Dimensions: 1500x500 for main title, 1200x675 for sections - Quality: medium (or low if medium is not available) - Any size/quality parameters needed to target 2–3 MB (max 5 MB).

  1. Ensure the img/ directory exists next to the original file; create it if

needed.

  1. Save or move all images into img/ with deterministic filenames.
  2. Generate the new {original}_img.md content by inserting Markdown image

tags under each heading.

  1. Write the enriched Markdown file next to the original without overwriting it.
  2. Report back:

- The path of the enriched Markdown file. - The list of generated images and their relative paths. - Any warnings about size or quality adjustments.

If the user requests a dry run or preview, you may:

  • Parse the headings.
  • Show the planned filenames and sample prompts.
  • Wait for confirmation before generating images and writing files.

Notes for maintainers

  • Keep this SKILL.md focused on behavior, constraints, and workflows.
  • If you need to document implementation details (e.g. parser limitations,

internal helper scripts), place them in separate files under a references/ directory rather than expanding this file.

  • Ensure this skill’s name and description remain accurate and specific

so that OpenClaw can route only relevant tasks here and keep context usage efficient. [web:1][web:2][web:6]

平台分布

OpenClaw

70.26%
按下载量换算770

安全审计

VirusTotal

可疑

ClawScan

可疑

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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