Literature PDF OCR Library Builder
LigphiDonk/Oh-my--paper
Searches and downloads legally accessible academic PDFs, OCRs them to Markdown, and organizes the results into a traceable, AI-readable literature library.
Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
Install Agent Survey Corpus
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill agent-survey-corpus -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills agent-survey-corpus --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/agent-survey-corpus .claude/skills/agent-survey-corpus && 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 "agent-survey-corpus" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/agent-survey-corpus into .claude/skills/agent-survey-corpus/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-survey-corpus", 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/agent-survey-corpusType 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 agent-survey-corpus -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills agent-survey-corpus --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/agent-survey-corpus .agents/skills/agent-survey-corpus && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-survey-corpus" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/agent-survey-corpus into .agents/skills/agent-survey-corpus/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-survey-corpus", 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 agent-survey-corpus -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills agent-survey-corpus --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/agent-survey-corpus .cursor/skills/agent-survey-corpus && 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 "agent-survey-corpus" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/agent-survey-corpus into .cursor/skills/agent-survey-corpus/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-survey-corpus", 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/agent-survey-corpus--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 agent-survey-corpus -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills agent-survey-corpus --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/agent-survey-corpus .gemini/skills/agent-survey-corpus && 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 "agent-survey-corpus" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/agent-survey-corpus into .gemini/skills/agent-survey-corpus/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-survey-corpus", 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 agent-survey-corpusInstalls 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 agent-survey-corpus -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/agent-survey-corpus .github/skills/agent-survey-corpus && 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 "agent-survey-corpus" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/agent-survey-corpus into .github/skills/agent-survey-corpus/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-survey-corpus", 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 agent-survey-corpus -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 agent-survey-corpus --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/agent-survey-corpus .opencode/skills/agent-survey-corpus && 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 "agent-survey-corpus" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/agent-survey-corpus into .opencode/skills/agent-survey-corpus/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-survey-corpus", 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
agent-survey-corpus- GitHub stars
- 513
- Token cost
- ~628 tokens
- SKILL.md length
- 260 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- None found
At a glance
Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
- Works in 3 steps: Edit ref/agent-surveys/arxiv_ids.txt… → Run the downloader to fetch PDFs and… → Skim the extracted text under…
- Tasks that involve Academic paper search
- SKILL.md covers Triggers & routing, Inputs, Outputs and Workflow, plus 2 more sections
- Runs Python scripts from its folder; calls uv
What it does
Agent Survey Corpus is an agent skill from WILLOSCAR/research-units-pipeline-skills. Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
Its SKILL.md is about 630 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 Research & Science, covering Academic paper search. It works with arXiv and Python. 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 Academic paper search
Example prompts
- “/agent-survey-corpus”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Edit ref/agent-surveys/arxiv_ids.txt (one arXiv id per line).
- Run the downloader to fetch PDFs and extract the first N pages to text.
- Skim the extracted text under ref/agent-surveys/text/
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
Agent Survey Corpus loads about 628 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 260 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 260 words (~628 tokens).
“Goal: create a small, local reference library so you can learn from real agent surveys when refining:”
- name
- agent-survey-corpus
- binding
- library
Files
SKILL.md and 1 other file (scripts) in .codex/skills/agent-survey-corpus of WILLOSCAR/research-units-pipeline-skills.
- SKILL.md
- scripts/run.py
Open the folder on GitHubat commit c92912a
Compare with similar skills
Agent Survey Corpus 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 |
|---|---|---|---|---|---|---|
| Agent Survey Corpus this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~628 | Automated safety check: Pass | None | |
| Literature PDF OCR Library BuilderLigphiDonk/Oh-my--paper | 739 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Ref Downloaderltczding-gif/ref-downloader | 139 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Papers Skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Citation ManagementK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Notes | MIT | |
| Paper2codePrathamLearnsToCode/paper2code | 1.5k | — | ~1.3k | Automated safety check: Pass | MIT |
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ltczding-gif/ref-downloader
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Papers Skill
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Skill for academic research workflows: search Semantic Scholar (200M+ papers), inspect citations, download arXiv PDFs, and extract PDF text.
Citation Management
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Finds papers in OpenAlex, PubMed and Google Scholar, turns DOIs, PMIDs and arXiv IDs into clean BibTeX, and validates citations for a manuscript or thesis.
Paper2code
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Converts an arxiv paper into a minimal, citation-anchored Python implementation.
Paper Research on arXiv
XiaomiMiMo/MiMo-Code
Searches arXiv, fetches metadata, generates BibTeX, downloads PDFs and finds citations and related papers using a bundled Python script.
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All 107 skills in this repoAppendix Table Writer
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Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
Artifact Contract Auditor
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Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing output/CONTRACTREPORT.md; use for mid-Run coverage snapshots or final delivery completeness, not deep…
Arxiv Search
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Retrieve arXiv paper metadata with keyword queries or import an offline arXiv export, and save results as JSONL (papers/papersraw.jsonl).
Chapter Lead Writer
WILLOSCAR/research-units-pipeline-skills
Write H2 chapter lead blocks (sections/S<secidlead.md) that preview the chapter's comparison lens and connect its H3 subsections, without adding new facts.
Chapter Skeleton
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Build a retrieval-informed chapter skeleton (outline/chapterskeleton.yml) from taxonomy/core scope before stable H3 decomposition.
Dedupe Rank
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Related
Categories
Questions about Agent Survey Corpus
What does Agent Survey Corpus do?
Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning. Agent Survey Corpus is an agent skill from WILLOSCAR/research-units-pipeline-skills. Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
When should I use Agent Survey Corpus?
Agent Survey Corpus fits situations like: tasks that involve Academic paper search.
How do I install Agent Survey Corpus in Claude Code?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill agent-survey-corpus -a claude-code`. Or copy the skill folder (.codex/skills/agent-survey-corpus in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/agent-survey-corpus in your project. Claude Code loads it when a task matches its description.
How do I install Agent Survey Corpus in Codex?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill agent-survey-corpus -a codex`. Or copy the skill folder (.codex/skills/agent-survey-corpus in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/agent-survey-corpus in your project. Codex loads it when a task matches its description.
Can I use Agent Survey Corpus 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 agent-survey-corpus -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-survey-corpus, .gemini/skills/agent-survey-corpus, .github/skills/agent-survey-corpus and .opencode/skills/agent-survey-corpus in your project.
What does Agent Survey Corpus need to run?
Going by SKILL.md and its folder, Agent Survey Corpus needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does Agent Survey Corpus 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 Agent Survey Corpus 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 Agent Survey Corpus use?
No licence was found for Agent Survey Corpus or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Agent Survey Corpus use?
About 628 tokens (SKILL.md is roughly 2.5k 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 Agent Survey Corpus?
Skills that share tags, products or a category with Agent Survey Corpus: Literature PDF OCR Library Builder (LigphiDonk/Oh-my--paper, 739 stars), Ref Downloader (ltczding-gif/ref-downloader, 139 stars), Papers Skill (sickn33/agentic-awesome-skills, 47k stars) and Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Survey Corpus?
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.