Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Progressive tool-chain PDF extraction with explicit readfile, runshell, and executecodesandbox sequencing
$ npx skills add HKUDS/OpenSpace --skill pdf-extract-progressive-tools -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/OpenSpace pdf-extract-progressive-tools --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b .claude/skills/pdf-extract-progressive-tools && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pdf-extract-progressive-tools" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b into .claude/skills/pdf-extract-progressive-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-extract-progressive-tools", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5bType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add HKUDS/OpenSpace --skill pdf-extract-progressive-tools -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/OpenSpace pdf-extract-progressive-tools --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b .agents/skills/pdf-extract-progressive-tools && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pdf-extract-progressive-tools" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b into .agents/skills/pdf-extract-progressive-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-extract-progressive-tools", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/OpenSpace --skill pdf-extract-progressive-tools -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/OpenSpace pdf-extract-progressive-tools --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b .cursor/skills/pdf-extract-progressive-tools && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pdf-extract-progressive-tools" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b into .cursor/skills/pdf-extract-progressive-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-extract-progressive-tools", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/HKUDS/OpenSpace.git --path benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add HKUDS/OpenSpace --skill pdf-extract-progressive-tools -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/OpenSpace pdf-extract-progressive-tools --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b .gemini/skills/pdf-extract-progressive-tools && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pdf-extract-progressive-tools" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b into .gemini/skills/pdf-extract-progressive-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-extract-progressive-tools", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install HKUDS/OpenSpace pdf-extract-progressive-toolsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add HKUDS/OpenSpace --skill pdf-extract-progressive-tools -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .github/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b .github/skills/pdf-extract-progressive-tools && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pdf-extract-progressive-tools" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b into .github/skills/pdf-extract-progressive-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-extract-progressive-tools", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/OpenSpace --skill pdf-extract-progressive-tools -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HKUDS/OpenSpace pdf-extract-progressive-tools --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b .opencode/skills/pdf-extract-progressive-tools && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pdf-extract-progressive-tools" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b into .opencode/skills/pdf-extract-progressive-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-extract-progressive-tools", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pdf-extract-progressive-toolsProgressive tool-chain PDF extraction with explicit readfile, runshell, and executecodesandbox sequencing
PDF Extract Progressive Tools is an agent skill from HKUDS/OpenSpace. Progressive tool-chain PDF extraction with explicit readfile, runshell, and executecodesandbox sequencing
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.
It sits in Documents & Office, covering PDF. The repository describes itself as: "OpenSpace: The Skill Management Layer for AI Agents" -- https://open-space.cloud/. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3827781. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
apt-getpdftotextFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
PDF Extract Progressive Tools loads about 2.9k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 748 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from HKUDS/OpenSpace at commit 3827781, republished under its MIT licence (© HKUDS). 748 words, ~2,897 tokens.
.claude/skills/pdf-extract-progressive-tools/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.This skill provides a robust workflow for extracting text from PDF documents using a sequenced approach with agent tools, with explicit fallback mechanisms based on observed tool behavior.
read_file often returns binary/image data for PDFs, not extracted text. When this occurs, immediately escalate to run_shell with pdftotext before attempting Python-based extraction.
Before beginning, identify your scenario:
| Scenario | Start Here | Skip |
|---|---|---|
| PDF already on local disk | Step 1 (read_file attempt) | Download steps |
| PDF at a web URL | Download first, then Step 1 | None |
| PDF content already extracted | Step 4 (Quality verification) | Steps 1-3 |
PDF extraction failures cascade when tool sequencing is unclear. This workflow ensures maximum success rate through explicit tool progression:
Always try the simplest approach first:
Tool: read_file
Path: document.pdfExpected outcome: Extracted text content
Critical check: Examine the returned content:
Binary data indicators:
%PDF- header without text extractionWhen read_file returns binary data, do NOT attempt execute_code_sandbox yet. Use run_shell immediately:
Tool: run_shell
Command: pdftotext document.pdf document.txtIf pdftotext is not available:
Tool: run_shell
Command: apt-get update && apt-get install -y poppler-utils && pdftotext document.pdf document.txtThen read the extracted text:
Tool: read_file
Path: document.txtExpected outcome: Clean text extraction
If this fails:
file document.pdf)Only attempt this if Steps 1-2 fail:
Tool: execute_code_sandbox
Language: python
Code: |
import fitz # PyMuPDF
try:
doc = fitz.open("document.pdf")
text = ""
for page in doc:
text += page.get_text()
doc.close()
with open("document_pymupdf.txt", "w") as f:
f.write(text)
print("SUCCESS: Extracted {} characters".format(len(text)))
except Exception as e:
print(f"FAILED: {e}")Then read the result:
Tool: read_file
Path: document_pymupdf.txtRegardless of which method succeeded, verify extraction quality:
If quality is poor:
If all extraction methods fail:
Example degradation note:
NOTE: Source document [path/URL] was inaccessible due to [specific tool failures].
Content below combines partial extraction with established domain knowledge
for [topic]. All claims verified against [alternative sources] where possible.
Tool Failure Log:
- read_file: Returned binary data (no text extraction)
- run_shell/pdftotext: Command not available in environment
- execute_code_sandbox/PyMuPDF: Sandbox execution failed with [error]# pdf-extract-orchestrator.py
# Implements the progressive tool fallback pattern
def extract_pdf_text(pdf_path):
"""
Progressive PDF extraction following tool precedence:
1. read_file (quick check)
2. run_shell + pdftotext (primary extraction)
3. execute_code_sandbox + PyMuPDF (final fallback)
"""
extraction_log = []
# Step 1: Try read_file
print("Step 1: Attempting read_file...")
try:
content = read_file(pdf_path)
if is_binary_or_image_data(content):
extraction_log.append("read_file: Returned binary data")
# Proceed to Step 2
else:
extraction_log.append("read_file: Success")
return content, extraction_log
except Exception as e:
extraction_log.append(f"read_file: Failed - {e}")
# Step 2: Try run_shell with pdftotext
print("Step 2: Attempting run_shell + pdftotext...")
try:
run_shell(f"pdftotext {pdf_path} output.txt")
content = read_file("output.txt")
if content and len(content) > 100:
extraction_log.append("run_shell/pdftotext: Success")
return content, extraction_log
else:
extraction_log.append("run_shell/pdftotext: Empty extraction")
except Exception as e:
extraction_log.append(f"run_shell/pdftotext: Failed - {e}")
# Step 3: Try execute_code_sandbox with PyMuPDF
print("Step 3: Attempting execute_code_sandbox + PyMuPDF...")
try:
code = """
import fitz
doc = fitz.open("""" + pdf_path + """")
text = ""
for page in doc:
text += page.get_text()
doc.close()
print(text[:1000]) # Preview
"""
result = execute_code_sandbox(language="python", code=code)
extraction_log.append("execute_code_sandbox/PyMuPDF: Success")
return result, extraction_log
except Exception as e:
extraction_log.append(f"execute_code_sandbox/PyMuPDF: Failed - {e}")
# Step 4: All methods failed
extraction_log.append("ALL METHODS FAILED - Escalate to domain knowledge")
return None, extraction_log
def is_binary_or_image_data(content):
"""Detect if content is binary/image data rather than extracted text"""
if not content:
return True
# Check for PDF header without text extraction
if content.startswith("%PDF-"):
return True
# Check for high ratio of non-printable characters
non_printable = sum(1 for c in content if ord(c) < 32 and c not in '\n\r\t')
if len(content) > 0 and non_printable / len(content) > 0.1:
return True
return False ┌─────────────────┐
│ Start: PDF │
│ Available? │
└────────┬────────┘
│
┌────────▼────────┐
│ Step 1: │
│ read_file │
└────────┬────────┘
│
┌──────────────┼──────────────┐
│ │ │
┌─────▼─────┐ ┌─────▼─────┐ ┌─────▼─────┐
│ Text │ │ Binary │ │ Error/ │
│ Returned │ │ Data │ │ Not Found│
└─────┬─────┘ └─────┬─────┘ └─────┬─────┘
│ │ │
│ ┌────▼─────┐ ┌────▼─────┐
│ │ Step 2: │ │ Download │
│ │ run_shell│ │ or Fix │
│ │ pdftotext│ │ Path │
│ └────┬─────┘ └──────────┘
│ │
│ ┌────▼─────┐
│ │ Success? │
│ └────┬─────┘
│ │
┌─────▼─────┐ ┌─────▼─────┐
│ Yes │ │ No │
└─────┬─────┘ └─────┬─────┘
│ │
│ ┌────▼─────────┐
│ │ Step 3: │
│ │ execute_ │
│ │ code_sandbox │
│ │ PyMuPDF │
│ └──────────────┘
│
┌─────▼──────────────────┐
│ Step 4: Quality Check │
│ Step 5: Document │
│ Limitations │
└────────────────────────┘| Tool | Symptom | Cause | Solution |
|---|---|---|---|
| read_file | Binary PDF data | Tool doesn't extract PDF text | Escalate to run_shell immediately |
| read_file | PNG/JPEG data | PDF contains embedded images | Use OCR tools or request text version |
| run_shell | pdftotext not found | Tool not installed | Install poppler-utils first |
| run_shell | Empty output | Password-protected PDF | Request accessible version |
| execute_code_sandbox | Unknown error | Sandbox execution issue | Try run_shell alternative or document limitation |
| execute_code_sandbox | Import error | PyMuPDF not installed | Include pip install in script |
This skill enhances pdf-download-extract-fallback by:
© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b of HKUDS/OpenSpace.
Open the folder on GitHubat commit 3827781
PDF Extract Progressive Tools next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| PDF Extract Progressive Tools this skillHKUDS/OpenSpace | 7.8k | — | ~2.9k | Automated safety check: Pass | MIT | |
| MarkitdownImCa0/just-laws | 782 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Gzh Designisjiamu/gzh-design-skill | 3.9k | 1 repos | ~2.2k | Automated safety check: Pass | AGPL-3.0 | |
| GenOffice Document CLIgenspark-ai/genoffice | 9k | — | ~19k | Automated safety check: Pass | Apache-2.0 | |
| Harness Book Best Practicewquguru/harness-books | 3.2k | — | ~4.1k | Automated safety check: Pass | None | |
| Bookforge Korean Ebook PDF Makergongnyang/bookforge | 315 | 1 repos | ~1.7k | Automated safety check: Pass | MIT |
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
isjiamu/gzh-design-skill
微信公众号文章排版引擎,将 Markdown 转换为可直接粘贴到公众号编辑器的 HTML。主题风格从 references/theme-index.md 注册的自定义主题库中选取,自动章节编号、关键词下划线标记、引言卡片、目录导航、代码块、图片/GIF、作者签名。支持 Markdown / Word(.docx) / PDF / 纯文本输入(非 Markdown…
genspark-ai/genoffice
Creates, converts, reads and edits real pptx, xlsx, docx and PDF files locally through the genoffice command line.
wquguru/harness-books
Best practices for working on the Harness books repo. An agent skill from wquguru/harness-books.
gongnyang/bookforge
Produces book-style Korean ebook PDFs from a topic or finished manuscript, with six design styles, real book parts and quality-check gates before output.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
HKUDS/OpenSpace
Walks through producing a master audio track plus stems in Python, from checking a reference file and timing sections by BPM to effects, a zip archive and final verification.
HKUDS/OpenSpace
Handle cascading data retrieval tool failures by falling back to embedded knowledge generation
HKUDS/OpenSpace
Gives an agent a workaround when its code-execution sandbox keeps failing: save the Python script to a file and run it through the shell instead.
HKUDS/OpenSpace
A recovery routine for agents whose sandboxed code runner keeps failing: save the Python script to disk, then run it through the shell and read the output.
HKUDS/OpenSpace
Fallback ladder for failed sandboxed code runs, plus the habit of fixing the working directory first so generated files land in the right place.
HKUDS/OpenSpace
Fallback workflow for executing Python code when executecodesandbox fails repeatedly
Categories
Progressive tool-chain PDF extraction with explicit readfile, runshell, and executecodesandbox sequencing. PDF Extract Progressive Tools is an agent skill from HKUDS/OpenSpace.
PDF Extract Progressive Tools fits situations like: tasks that involve PDF.
Run `npx skills add HKUDS/OpenSpace --skill pdf-extract-progressive-tools -a claude-code`. Or copy the skill folder (benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b in HKUDS/OpenSpace) into .claude/skills/pdf-extract-progressive-tools in your project. Claude Code loads it when a task matches its description.
Run `npx skills add HKUDS/OpenSpace --skill pdf-extract-progressive-tools -a codex`. Or copy the skill folder (benchmarks/gdpval/skills/pdf-download-extract-fallback-enhanced-899f5b in HKUDS/OpenSpace) into .agents/skills/pdf-extract-progressive-tools in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/OpenSpace --skill pdf-extract-progressive-tools -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pdf-extract-progressive-tools, .gemini/skills/pdf-extract-progressive-tools, .github/skills/pdf-extract-progressive-tools and .opencode/skills/pdf-extract-progressive-tools in your project.
Going by SKILL.md and its folder, PDF Extract Progressive Tools needs the command-line tools its instructions call (apt-get and pdftotext). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
PDF Extract Progressive Tools is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with PDF Extract Progressive Tools: Markitdown (ImCa0/just-laws, 782 stars), Gzh Design (isjiamu/gzh-design-skill, 3.9k stars), GenOffice Document CLI (genspark-ai/genoffice, 9k stars) and Harness Book Best Practice (wquguru/harness-books, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
HKUDS (a GitHub organization) maintains it in HKUDS/OpenSpace, which has 7,750 GitHub stars. The repository holds 199 skills in this directory. The repository was last updated on August 12, 2026.
Source: HKUDS/OpenSpace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.