Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Iterative workflow to verify PDF page counts and adjust layout parameters until requirements are met
$ npx skills add HKUDS/OpenSpace --skill pdf-page-verification-correction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/OpenSpace pdf-page-verification-correction --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-page-verification-correction .claude/skills/pdf-page-verification-correction && 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-page-verification-correction" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-page-verification-correction into .claude/skills/pdf-page-verification-correction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-page-verification-correction", 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-page-verification-correctionType 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-page-verification-correction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/OpenSpace pdf-page-verification-correction --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-page-verification-correction .agents/skills/pdf-page-verification-correction && 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-page-verification-correction" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-page-verification-correction into .agents/skills/pdf-page-verification-correction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-page-verification-correction", 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-page-verification-correction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/OpenSpace pdf-page-verification-correction --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-page-verification-correction .cursor/skills/pdf-page-verification-correction && 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-page-verification-correction" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-page-verification-correction into .cursor/skills/pdf-page-verification-correction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-page-verification-correction", 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-page-verification-correction--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-page-verification-correction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/OpenSpace pdf-page-verification-correction --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-page-verification-correction .gemini/skills/pdf-page-verification-correction && 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-page-verification-correction" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-page-verification-correction into .gemini/skills/pdf-page-verification-correction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-page-verification-correction", 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-page-verification-correctionInstalls 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-page-verification-correction -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-page-verification-correction .github/skills/pdf-page-verification-correction && 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-page-verification-correction" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-page-verification-correction into .github/skills/pdf-page-verification-correction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-page-verification-correction", 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-page-verification-correction -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-page-verification-correction --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-page-verification-correction .opencode/skills/pdf-page-verification-correction && 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-page-verification-correction" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-page-verification-correction into .opencode/skills/pdf-page-verification-correction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-page-verification-correction", 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-page-verification-correctionIterative workflow to verify PDF page counts and adjust layout parameters until requirements are met
PDF Page Verification Correction is an agent skill from HKUDS/OpenSpace. Iterative workflow to verify PDF page counts and adjust layout parameters until requirements are met
Its SKILL.md is about 1.5k 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From 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 Page Verification Correction loads about 1.5k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 230 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). 230 words, ~1,545 tokens.
.claude/skills/pdf-page-verification-correction/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 systematic approach to ensure PDFs meet target page count requirements through iterative verification and layout adjustment.
Generate the PDF with your initial layout parameters:
def create_pdf(output_path, params):
"""Create PDF with given layout parameters"""
# Your PDF generation logic here
# params can include: image_size, table_density, font_size, margins
passCheck the generated PDF's page count:
import fitz # PyMuPDF
def verify_page_count(pdf_path):
"""Return the number of pages in the PDF"""
doc = fitz.open(pdf_path)
page_count = len(doc)
doc.close()
return page_count
# Alternative with PyPDF2
from PyPDF2 import PdfReader
def verify_page_count_pypdf2(pdf_path):
reader = PdfReader(pdf_path)
return len(reader.pages)def check_page_requirement(actual, target_max, target_exact=None):
"""
Check if page count meets requirements
Returns: (meets_requirement, adjustment_needed)
"""
if target_exact is not None:
meets = (actual == target_exact)
direction = "shrink" if actual > target_exact else "expand" if actual < target_exact else None
else:
meets = (actual <= target_max)
direction = "shrink" if actual > target_max else None
return meets, directionIf page count exceeds target, adjust one or more parameters:
# Common adjustment strategies
ADJUSTMENT_STRATEGIES = {
'images': {
'action': 'reduce_size',
'param': 'image_scale',
'step': 0.1, # Reduce by 10%
'min': 0.5
},
'tables': {
'action': 'reduce_density',
'param': 'rows_per_page',
'step': 2, # Reduce by 2 rows per page
'min': 5
},
'fonts': {
'action': 'reduce_size',
'param': 'font_size',
'step': 1, # Reduce by 1pt
'min': 8
},
'margins': {
'action': 'reduce',
'param': 'margin_inches',
'step': 0.1, # Reduce by 0.1 inches
'min': 0.3
}
}
def adjust_params(current_params, direction, strategy='images'):
"""Apply adjustment to parameters"""
adjusted = current_params.copy()
strat = ADJUSTMENT_STRATEGIES[strategy]
if direction == 'shrink':
param = strat['param']
current_val = adjusted.get(param, 1.0)
new_val = max(current_val - strat['step'], strat['min'])
adjusted[param] = new_val
return adjusteddef create_pdf_with_validation(
output_path,
initial_params,
target_max_pages,
max_iterations=5
):
"""
Create PDF with iterative page count verification and correction
Args:
output_path: Where to save the final PDF
initial_params: Starting layout parameters
target_max_pages: Maximum allowed pages
max_iterations: Maximum adjustment attempts
Returns:
dict with 'success', 'final_page_count', 'iterations', 'final_params'
"""
params = initial_params.copy()
for iteration in range(max_iterations):
# Create PDF
create_pdf(output_path, params)
# Verify
page_count = verify_page_count(output_path)
# Check requirements
meets_req, direction = check_page_requirement(
page_count, target_max_pages
)
if meets_req:
print(f"✓ PDF created successfully: {page_count} pages")
return {
'success': True,
'final_page_count': page_count,
'iterations': iteration + 1,
'final_params': params
}
# Adjust and retry
print(f"Iteration {iteration + 1}: {page_count} pages (need ≤{target_max_pages})")
params = adjust_params(params, direction)
# Failed to converge
return {
'success': False,
'final_page_count': page_count,
'iterations': max_iterations,
'final_params': params,
'error': f"Failed to meet page requirement after {max_iterations} iterations"
}# Initial parameters
params = {
'image_scale': 1.0,
'font_size': 10,
'margin_inches': 0.5,
'rows_per_page': 15
}
# Create map PDF limited to 1 page
result = create_pdf_with_validation(
output_path='property_map.pdf',
initial_params=params,
target_max_pages=1,
max_iterations=5
)
if not result['success']:
# Consider more aggressive adjustments or content reduction
print(f"Warning: {result['error']}")Prioritize adjustments: Start with less intrusive changes (margins, image scale) before more significant ones (font size, content removal)
Track iteration history: Log each iteration's parameters and page count to identify which adjustments are most effective
Set reasonable limits: Don't reduce parameters below readable/viewable thresholds
Consider content-based solutions: If layout adjustments fail, consider removing or summarizing content
Use multiple strategies sequentially: Try image reduction first, then table density, then fonts
© 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-page-verification-correction of HKUDS/OpenSpace.
Open the folder on GitHubat commit 3827781
PDF Page Verification Correction 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 Page Verification Correction this skillHKUDS/OpenSpace | 7.8k | — | ~1.5k | Automated safety check: Pass | MIT | |
| MarkitdownImCa0/just-laws | 781 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Gzh Designisjiamu/gzh-design-skill | 4k | — | ~2.2k | Automated safety check: Pass | AGPL-3.0 | |
| GenOffice Document CLIgenspark-ai/genoffice | 9.2k | — | ~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 | 316 | 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
Iterative workflow to verify PDF page counts and adjust layout parameters until requirements are met. PDF Page Verification Correction is an agent skill from HKUDS/OpenSpace.
PDF Page Verification Correction fits situations like: tasks that involve PDF.
Run `npx skills add HKUDS/OpenSpace --skill pdf-page-verification-correction -a claude-code`. Or copy the skill folder (benchmarks/gdpval/skills/pdf-page-verification-correction in HKUDS/OpenSpace) into .claude/skills/pdf-page-verification-correction in your project. Claude Code loads it when a task matches its description.
Run `npx skills add HKUDS/OpenSpace --skill pdf-page-verification-correction -a codex`. Or copy the skill folder (benchmarks/gdpval/skills/pdf-page-verification-correction in HKUDS/OpenSpace) into .agents/skills/pdf-page-verification-correction 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-page-verification-correction -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-page-verification-correction, .gemini/skills/pdf-page-verification-correction, .github/skills/pdf-page-verification-correction and .opencode/skills/pdf-page-verification-correction in your project.
SKILL.md names no scripts, command-line tools or credentials: PDF Page Verification Correction is instructions for the agent only. 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 Page Verification Correction is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.2k 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 Page Verification Correction: Markitdown (ImCa0/just-laws, 781 stars), Gzh Design (isjiamu/gzh-design-skill, 4k stars), GenOffice Document CLI (genspark-ai/genoffice, 9.2k 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 7,754 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.