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Agent Skill · 图像处理

pdflux-test(pdflux 测试)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

pdflux-test 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 634。

总安装 3,672周安装 150GitHub Stars 1下载 1,188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
1.0.3

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:pdflux-test(pdflux 测试)
来源仓库:https://github.com/sube-py/pdflux-test
安装命令:
openclaw skills install pdflux-test
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 pdflux-test

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。

同 pdflux-pdf2markdown,用于文档结构化处理。在测试环境中验证解析逻辑与边界情况表现。pdflux-test 属于图像处理类 Skill,可作为该场景下的辅助能力补充。辅助开发者在 CI/CD 流程中集成文档验证步骤。可结合 pytest 框架编写自动化测试用例。

注意不同版本间接口变动可能导致测试失败。

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 pdflux-test;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

pdflux-test 怎么安装?

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

pdflux-test 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。

pdflux-test 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。

pdflux-test 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。

pdflux-test 用的人多吗?

公开数据是累计安装 3,672 次,近一周安装 150 次,下载 1,188 次,GitHub 1 星。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。

pdflux-test 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
pdflux-test

pdflux 测试 · 本页

3,6721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
PDFlux-PDF2Markdown
description
Convert unstructured documents into LLM-ready structured data. Supports PDF, Word, PPT, and images; extracts paragraphs, formulas, tables, charts, and other elements in one step; generates up to 8 levels of headings; and outputs Markdown organized in reading order. Useful for field extraction, comparison and validation, knowledge retrieval, and intelligent Q&A.
metadata
{"author":"PAODINGAI","version":"1.0.2","openclaw":{"emoji":"📝","primaryEnv":"PD_ROUTER_API_KEY","requires":{"env":["PD_ROUTER_API_KEY"],"bins":["node"]}}}

PDFlux-PDF2Markdown

Run a JavaScript workflow that uploads a single local file to the pdflux service through PDRouter, polls the parsing status, and then downloads the resulting Markdown. This is suitable for document parsing, table extraction, content verification, and handing document content off to follow-up scripts.

Installation

npx skills add PaodingAI/skills

Usage

node skills/pdflux-saas-markdown/scripts/upload_to_markdown.js <local-file-path> [output-markdown-path]

Execution Constraints

  • You must invoke scripts/upload_to_markdown.js directly. Do not reimplement the upload, polling, and Markdown download flow yourself.
  • The behavior contract below explains what the script does, what it outputs, and when to use it. It is not a manual checklist for the model to imitate step by step.
  • Even if the task is only to extract tables, read fields, inspect body text, or prepare input for later scripts, you must run this script first and continue from the generated Markdown.
  • Only inspect or modify the script implementation when the script itself is unavailable, failing, or needs a fix. Do not bypass it during normal use.

When to Use

  • Use this skill when the user wants to parse a document, retrieve specific document content, or extract tables from a document.
  • Use this skill when the user says things like "convert to Markdown", "output Markdown", "export Markdown", or "extract Markdown", and return the Markdown content directly.
  • When later work depends on the document content, such as summarization, field extraction, document-processing scripts, table comparison, or rule-based validation, use this skill first to parse the document.
  • When the document content is only needed as input for subsequent steps, do not default to showing the full raw Markdown to the user. Prefer saving it to a temporary or working file first, then read, filter, and extract only what is needed.
  • When the user explicitly asks for the original Markdown output or clearly wants a direct document-to-Markdown conversion, show the full Markdown directly.

Environment Variables

  • PD_ROUTER_API_KEY: Required. The Bearer API key for PDRouter. If it is missing, the script fails immediately. In a skill workflow, the AI should ask the user to provide a valid key, or inject it into the environment before retrying. The API key can be obtained from the PDRouter platform: https://platform.paodingai.com/
  • PDFLUX_INCLUDE_IMAGES: Optional. Boolean. Markdown output does not include image data by default.

Security and Data Flow

  • This skill uploads one user-specified local file to the official PDRouter endpoint at https://platform.paodingai.com.
  • The script reads PD_ROUTER_API_KEY only to authenticate requests to the official PDRouter service.
  • The script does not print the API key to stdout or stderr.
  • Generated Markdown is written to stdout and, if requested, to the user-provided output file path.
  • The script does not support arbitrary network targets or custom upload hosts.

Default Behavior and Optional Settings

  • Parsed results do not include chart or image extraction by default.
  • If charts, images, or similar content are required, enable them explicitly through API parameters. These results are usually returned as base64 and will increase token usage.
  • Markdown output does not include image data by default. If you need embedded image data, set PDFLUX_INCLUDE_IMAGES=true.

Script Behavior

  1. Read the token from PD_ROUTER_API_KEY. If it is missing, fail immediately and prompt the AI to ask the user for a key or inject the environment variable first.
  2. Upload the file to the official PDRouter endpoint with POST /openapi/{serviceCode}/upload using Authorization: Bearer <token>.
  3. Poll GET /openapi/{serviceCode}/document/{uuid} until parsed === 2.
  4. Fail immediately if the parsing status becomes negative.
  5. Download the Markdown from GET /openapi/{serviceCode}/document/{uuid}/markdown.
  6. If output-markdown-path is provided, the script also writes the Markdown to that file while still printing it to stdout.
  7. The script writes progress and errors to stderr and returns a non-zero exit code on failure.
  8. When the goal is to retrieve specific content, fields, or tables, read the parsed result and return only the necessary information instead of echoing the full raw Markdown to the user.
  9. When the user explicitly asks to "convert to Markdown", "output Markdown", or expresses an equivalent intent, return the Markdown content directly rather than only a summary or extracted fields.

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

平台分布

OpenClaw

94.29%
按下载量换算1,120

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

可疑

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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