Deep Research Literature Survey
HKUSTDial/Supervisor-Skills
Runs a survey-grade literature investigation: fixes the research questions, searches from adversarial angles, verifies citations and writes an evidence-first report.
Generate a specialized domain-expert research agent modeled on PaperClaw architecture.
Install Paper Expert Generator
$ npx skills add guhaohao0991/PaperClaw --skill paper-expert-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install guhaohao0991/PaperClaw paper-expert-generator --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/guhaohao0991/PaperClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/paper-expert-generator .claude/skills/paper-expert-generator && 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 "paper-expert-generator" agent skill from https://github.com/guhaohao0991/PaperClaw/tree/main/skills/paper-expert-generator into .claude/skills/paper-expert-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-expert-generator", 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/guhaohao0991/PaperClaw/tree/main/skills/paper-expert-generatorType 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 guhaohao0991/PaperClaw --skill paper-expert-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install guhaohao0991/PaperClaw paper-expert-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guhaohao0991/PaperClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/paper-expert-generator .agents/skills/paper-expert-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "paper-expert-generator" agent skill from https://github.com/guhaohao0991/PaperClaw/tree/main/skills/paper-expert-generator into .agents/skills/paper-expert-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-expert-generator", 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 guhaohao0991/PaperClaw --skill paper-expert-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install guhaohao0991/PaperClaw paper-expert-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guhaohao0991/PaperClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/paper-expert-generator .cursor/skills/paper-expert-generator && 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 "paper-expert-generator" agent skill from https://github.com/guhaohao0991/PaperClaw/tree/main/skills/paper-expert-generator into .cursor/skills/paper-expert-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-expert-generator", 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/guhaohao0991/PaperClaw.git --path skills/paper-expert-generator--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 guhaohao0991/PaperClaw --skill paper-expert-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install guhaohao0991/PaperClaw paper-expert-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guhaohao0991/PaperClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/paper-expert-generator .gemini/skills/paper-expert-generator && 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 "paper-expert-generator" agent skill from https://github.com/guhaohao0991/PaperClaw/tree/main/skills/paper-expert-generator into .gemini/skills/paper-expert-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-expert-generator", 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 guhaohao0991/PaperClaw paper-expert-generatorInstalls 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 guhaohao0991/PaperClaw --skill paper-expert-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/guhaohao0991/PaperClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/paper-expert-generator .github/skills/paper-expert-generator && 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 "paper-expert-generator" agent skill from https://github.com/guhaohao0991/PaperClaw/tree/main/skills/paper-expert-generator into .github/skills/paper-expert-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-expert-generator", 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 guhaohao0991/PaperClaw --skill paper-expert-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install guhaohao0991/PaperClaw paper-expert-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guhaohao0991/PaperClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/paper-expert-generator .opencode/skills/paper-expert-generator && 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 "paper-expert-generator" agent skill from https://github.com/guhaohao0991/PaperClaw/tree/main/skills/paper-expert-generator into .opencode/skills/paper-expert-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-expert-generator", 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
paper-expert-generator- GitHub stars
- 250
- Token cost
- ~2k tokens
- SKILL.md length
- 599 words
- Files
- 7 (incl. scripts, references, assets)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- None found
At a glance
Generate a specialized domain-expert research agent modeled on PaperClaw architecture.
- Works in 8 steps: Domain Interview → Build Keyword Library → Design Evaluation Rubric → …
- A user wants to create an AI agent that can automatically search
- SKILL.md covers Workflow, Output Summary Format and References
- Runs Python scripts from its folder; calls python
What it does
Paper Expert Generator is an agent skill from guhaohao0991/PaperClaw. Generate a specialized domain-expert research agent modeled on PaperClaw architecture. Use this skill when a user wants to create an AI agent that can automatically search, filter, summarize, and evaluate academic papers in a specific research field. Trigger phrases include help me create a paper tracking agent for my field, I want an agent to monitor latest papers in bioinformatics, build me a paper review agent for computer vision, create a PaperClaw-style agent for my domain, generate a domain-specific paper…
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/templates/models.json`, `assets/templates/schedules.json` and `references/agent-template-guide.md`).
It sits in Research & Science, covering Academic paper search, Peer review and Computer vision. It works with arXiv and Semantic Scholar. The repository describes itself as: an OpenClaw skill that can generate paper search-review-critque expert-agent relevant to specific topics (we use Scientific ML and 3D geometry surrogate modeling as a demo).
When your agent uses it
- A user wants to create an AI agent that can automatically search
- Evaluate academic papers in a specific research field
- Phrases include help me create a paper tracking agent for my field
- I want an agent to monitor latest papers in bioinformatics
Example prompts
- “/paper-expert-generator”
Requirements
- Python 3
Workflow steps
8 steps, taken from the step headings in SKILL.md.
- Domain Interview
- Build Keyword Library
- Design Evaluation Rubric
- Generate Agent Files
- Write AGENT.md
- Adapt Skill SKILL.md Files
- Configure models.json and schedules.json
- Validate and Deliver
What it can do on your machine
Read from SKILL.md and the folder at commit 39e8194. 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:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Paper Expert Generator loads about 2k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 185 tokens; SKILL.md has 599 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 599 words (~2,014 tokens).
“Generate a complete, ready-to-use domain-specific paper expert agent by adapting the PaperClaw architecture for any research field.”
- name
- paper-expert-generator
Files
SKILL.md and 6 other files (scripts, references, assets) in skills/paper-expert-generator of guhaohao0991/PaperClaw.
- SKILL.md
- assets/templates/AGENT.md.template
- assets/templates/models.json
- assets/templates/schedules.json
- references/agent-template-guide.md
- references/domain-adaptation-guide.md
- scripts/init_domain_agent.py
Open the folder on GitHubat commit 39e8194
Compare with similar skills
Paper Expert Generator 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 |
|---|---|---|---|---|---|---|
| Paper Expert Generator this skillguhaohao0991/PaperClaw | 250 | — | ~2k | Automated safety check: Pass | None | |
| Deep Research Literature SurveyHKUSTDial/Supervisor-Skills | 8.8k | — | ~2.4k | Automated safety check: Pass | CC-BY-NC-SA-4.0 | |
| Researchathola/claude-night-market | 341 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Paper Research on arXivXiaomiMiMo/MiMo-Code | 14k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Paper Searchopenags/paper-search-mcp | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT |
Similar skills
Research
athola/claude-night-market
Runs multi-source research across GitHub, HN, Reddit, arXiv, and Semantic Scholar.
Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
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.
Paper Search
openags/paper-search-mcp
Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc).
Literature Review Agent
Ar9av/PaperOrchestra
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
Related
Works with
Categories
Questions about Paper Expert Generator
What does Paper Expert Generator do?
Generate a specialized domain-expert research agent modeled on PaperClaw architecture. Paper Expert Generator is an agent skill from guhaohao0991/PaperClaw. Generate a specialized domain-expert research agent modeled on PaperClaw architecture.
When should I use Paper Expert Generator?
Paper Expert Generator fits situations like: A user wants to create an AI agent that can automatically search; evaluate academic papers in a specific research field; phrases include help me create a paper tracking agent for my field; I want an agent to monitor latest papers in bioinformatics.
How do I install Paper Expert Generator in Claude Code?
Run `npx skills add guhaohao0991/PaperClaw --skill paper-expert-generator -a claude-code`. Or copy the skill folder (skills/paper-expert-generator in guhaohao0991/PaperClaw) into .claude/skills/paper-expert-generator in your project. Claude Code loads it when a task matches its description.
How do I install Paper Expert Generator in Codex?
Run `npx skills add guhaohao0991/PaperClaw --skill paper-expert-generator -a codex`. Or copy the skill folder (skills/paper-expert-generator in guhaohao0991/PaperClaw) into .agents/skills/paper-expert-generator in your project. Codex loads it when a task matches its description.
Can I use Paper Expert Generator 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 guhaohao0991/PaperClaw --skill paper-expert-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paper-expert-generator, .gemini/skills/paper-expert-generator, .github/skills/paper-expert-generator and .opencode/skills/paper-expert-generator in your project.
What does Paper Expert Generator need to run?
Going by SKILL.md and its folder, Paper Expert Generator needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Paper Expert Generator access the network?
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.
Is Paper Expert Generator 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 Paper Expert Generator use?
No licence was found for Paper Expert Generator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Paper Expert Generator use?
About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.9k tokens, read only when the agent opens those files.
What are the alternatives to Paper Expert Generator?
Skills that share tags, products or a category with Paper Expert Generator: Deep Research Literature Survey (HKUSTDial/Supervisor-Skills, 8.8k stars), Research (athola/claude-night-market, 341 stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Paper Expert Generator?
guhaohao0991 (a GitHub user) maintains it in guhaohao0991/PaperClaw, which has 250 GitHub stars. The repository was last updated on March 11, 2026.
Source: guhaohao0991/PaperClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.