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resilient-pdfresilient PDF 搜索

Agent Skill

resilient-pdf 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

3,868

周安装

158

GitHub Stars

公开资料未说明

下载量

1,251
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:resilient-pdf(resilient PDF 搜索)
来源仓库:https://github.com/cdmichaelb/resilient-pdf
安装命令:
openclaw skills install resilient-pdf
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 resilient-pdf

简介

resilient-pdf 在本地 PDF 处理失败时启用备用提取流程。

  • 支持大文件与超时场景下的内容恢复机制。
  • 可切换至远程或混合模式继续摘要工作流。
  • 确保关键文档信息不被单次故障阻断。resilient-pdf 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 适合处理复杂排版或加密保护的专业文献。

SKILL.md

name
resilient-pdf
description
Recover PDF extraction and summarization workflows when native PDF handling fails, hangs, times out, or rejects large files. Use when working with local or remote PDFs, especially research papers, manuals, system cards, or other long documents that exceed provider limits or fail in the built-in pdf tool. Supports URL download, local extraction via uvx + markitdown[pdf], optional chunking, and first-pass summary artifacts.

Resilient PDF

Use this skill as a fallback workflow for PDFs that break normal analysis paths.

Overview

Prefer the built-in pdf tool first when it is likely to work. If it fails, hangs, times out, or the file is too large, switch to this local workflow.

Read references/patterns.md if you need the rationale, chunking heuristics, or fallback guidance.

Workflow

  1. Confirm the PDF source.

- If remote, download it into the workspace first. - If local, confirm the path and file size.

  1. Decide whether the normal path is already broken.

- Trigger this skill when the built-in pdf tool aborts, provider-native upload fails, or file limits make direct analysis unlikely to work.

  1. Run the helper extractor.

- Use scripts/extract_pdf.py to extract markdown locally. - Use --url to download a remote PDF first. - Add --chunk-dir when the output will be too large to read in one pass. - Add --summary-out to generate a lightweight first-pass summary artifact.

  1. Inspect the extracted output.

- Read the head, table of contents, or key sections first. - Do not trust a summary until the extracted text looks sane.

  1. Summarize or analyze.

- For short outputs, read the extracted markdown directly. - For long outputs, read selected chunks or key sections. - Use the generated first-pass summary as a navigation aid, not as final truth. - Keep quoted claims and numeric claims grounded in the extracted text.

Helper script

Local file command:

python3 skills/resilient-pdf/scripts/extract_pdf.py <file.pdf> --out <output.md> --json

Remote URL command:

python3 skills/resilient-pdf/scripts/extract_pdf.py \
  --url <https://example.com/file.pdf> \
  --out <output.md> \
  --download-to <downloaded.pdf> \
  --json

Chunked plus summary command:

python3 skills/resilient-pdf/scripts/extract_pdf.py <file.pdf> \
  --out <output.md> \
  --chunk-dir <chunk-dir> \
  --summary-out <summary.md> \
  --chunk-chars 120000 \
  --chunk-overlap 4000 \
  --json

The script:

  • accepts either a local file path or --url
  • downloads remote PDFs when needed
  • looks for uvx
  • invokes uvx --from 'markitdown[pdf]' markitdown
  • writes extracted markdown
  • optionally writes chunk files
  • optionally writes a lightweight first-pass summary markdown file
  • emits a machine-readable JSON result

If dependencies are missing

If uvx is not available, tell the operator the exact command to install it:

python3 -m pip install --user --break-system-packages uv

Do not silently install dependencies unless the user asked you to.

Output expectations

A successful run should give you:

  • downloaded PDF path when using --url
  • extracted markdown path
  • byte count
  • text character count
  • optional chunk paths
  • optional first-pass summary path

Use those outputs as the source of truth for later summarization.

Notes

  • This skill does not replace the built-in pdf tool. It is the fallback when that path is unreliable.
  • Prefer workspace-local outputs so later reads and summaries are reproducible.
  • If the extracted markdown is noisy, inspect section headers and sample passages before making strong claims.

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

80.17%
按下载量换算1,003

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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