Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Download PDFs (when available) and extract plain text to support full-text evidence, writing papers/fulltextindex.jsonl and papers/fulltext/.txt.
Install PDF Text Extractor
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill pdf-text-extractor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills pdf-text-extractor --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/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/pdf-text-extractor .claude/skills/pdf-text-extractor && 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-text-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/pdf-text-extractor into .claude/skills/pdf-text-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extractor", 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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/pdf-text-extractorType 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 WILLOSCAR/research-units-pipeline-skills --skill pdf-text-extractor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills pdf-text-extractor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/pdf-text-extractor .agents/skills/pdf-text-extractor && 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-text-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/pdf-text-extractor into .agents/skills/pdf-text-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extractor", 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 WILLOSCAR/research-units-pipeline-skills --skill pdf-text-extractor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills pdf-text-extractor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/pdf-text-extractor .cursor/skills/pdf-text-extractor && 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-text-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/pdf-text-extractor into .cursor/skills/pdf-text-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extractor", 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/WILLOSCAR/research-units-pipeline-skills.git --path .codex/skills/pdf-text-extractor--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 WILLOSCAR/research-units-pipeline-skills --skill pdf-text-extractor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills pdf-text-extractor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/pdf-text-extractor .gemini/skills/pdf-text-extractor && 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-text-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/pdf-text-extractor into .gemini/skills/pdf-text-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extractor", 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 WILLOSCAR/research-units-pipeline-skills pdf-text-extractorInstalls 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 WILLOSCAR/research-units-pipeline-skills --skill pdf-text-extractor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/pdf-text-extractor .github/skills/pdf-text-extractor && 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-text-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/pdf-text-extractor into .github/skills/pdf-text-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extractor", 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 WILLOSCAR/research-units-pipeline-skills --skill pdf-text-extractor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills pdf-text-extractor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/pdf-text-extractor .opencode/skills/pdf-text-extractor && 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-text-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/pdf-text-extractor into .opencode/skills/pdf-text-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-text-extractor", 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.
Facts
- Skill name
pdf-text-extractor- GitHub stars
- 513
- Token cost
- ~1.2k tokens
- SKILL.md length
- 495 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- None found
At a glance
Download PDFs (when available) and extract plain text to support full-text evidence, writing papers/fulltextindex.jsonl and papers/fulltext/.txt.
- Works in 4 steps: Read papers/core_set.csv. → If outline/mapping.tsv exists,… → For each selected paper (fulltext mode) → …
- Tasks that involve PDF
- SKILL.md covers Triggers & routing, Inputs, Outputs and Decision: evidence mode, plus 5 more sections
- Runs Python scripts from its folder; calls uv
What it does
PDF Text Extractor is an agent skill from WILLOSCAR/research-units-pipeline-skills. Download PDFs (when available) and extract plain text to support full-text evidence, writing papers/fulltextindex.jsonl and papers/fulltext/.txt.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/run.py`).
It sits in Documents & Office, covering PDF. The repository describes itself as: Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing…
When your agent uses it
- Tasks that involve PDF
Example prompts
- “/pdf-text-extractor”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Read papers/core_set.csv.
- If outline/mapping.tsv exists, prioritize mapped papers first.
- For each selected paper (fulltext mode)
- Never overwrite existing extracted text unless explicitly requested (delete the .txt to re-extract).
What it can do on your machine
Read from SKILL.md and the folder at commit c92912a. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
PDF Text Extractor loads about 1.2k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 495 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 495 words (~1,200 tokens).
“Optionally collect full-text snippets to deepen evidence beyond abstracts.”
- name
- pdf-text-extractor
Files
SKILL.md and 1 other file (scripts) in .codex/skills/pdf-text-extractor of WILLOSCAR/research-units-pipeline-skills.
- SKILL.md
- scripts/run.py
Open the folder on GitHubat commit c92912a
Compare with similar skills
PDF Text Extractor 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 Text Extractor this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~1.2k | Automated safety check: Pass | None | |
| MarkitdownImCa0/just-laws | 781 | 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 | 8.9k | — | ~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 | 314 | 1 repos | ~1.7k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about PDF Text Extractor
What does PDF Text Extractor do?
Download PDFs (when available) and extract plain text to support full-text evidence, writing papers/fulltextindex.jsonl and papers/fulltext/.txt. PDF Text Extractor is an agent skill from WILLOSCAR/research-units-pipeline-skills.txt.
When should I use PDF Text Extractor?
PDF Text Extractor fits situations like: tasks that involve PDF.
How do I install PDF Text Extractor in Claude Code?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill pdf-text-extractor -a claude-code`. Or copy the skill folder (.codex/skills/pdf-text-extractor in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/pdf-text-extractor in your project. Claude Code loads it when a task matches its description.
How do I install PDF Text Extractor in Codex?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill pdf-text-extractor -a codex`. Or copy the skill folder (.codex/skills/pdf-text-extractor in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/pdf-text-extractor in your project. Codex loads it when a task matches its description.
Can I use PDF Text Extractor in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill pdf-text-extractor -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-text-extractor, .gemini/skills/pdf-text-extractor, .github/skills/pdf-text-extractor and .opencode/skills/pdf-text-extractor in your project.
What does PDF Text Extractor need to run?
Going by SKILL.md and its folder, PDF Text Extractor needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does PDF Text Extractor access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is PDF Text Extractor safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does PDF Text Extractor use?
No licence was found for PDF Text Extractor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does PDF Text Extractor use?
About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to PDF Text Extractor?
Skills that share tags, products or a category with PDF Text Extractor: Markitdown (ImCa0/just-laws, 781 stars), Gzh Design (isjiamu/gzh-design-skill, 3.9k stars), GenOffice Document CLI (genspark-ai/genoffice, 8.9k 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.
Who maintains PDF Text Extractor?
WILLOSCAR (a GitHub user) maintains it in WILLOSCAR/research-units-pipeline-skills, which has 513 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 5, 2026.
Source: WILLOSCAR/research-units-pipeline-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.