Read arXiv Paper
karpathy/nanochat
Fetches the TeX source of an arXiv paper from its URL, reads it and writes a markdown summary tied to the nanochat project.
Tracks the latest preprints and emerging research topics related to your topic across bioRxiv, medRxiv, and arXiv.
Install Preprint Surveillance Finder
$ npx skills add aipoch/medical-research-skills --skill preprint-surveillance-finder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills preprint-surveillance-finder --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'awesome-med-research-skills/Evidence Insight/preprint-surveillance-finder' .claude/skills/preprint-surveillance-finder && 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 "preprint-surveillance-finder" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Evidence%20Insight/preprint-surveillance-finder into .claude/skills/preprint-surveillance-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprint-surveillance-finder", 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/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Evidence%20Insight/preprint-surveillance-finderType 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 aipoch/medical-research-skills --skill preprint-surveillance-finder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills preprint-surveillance-finder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'awesome-med-research-skills/Evidence Insight/preprint-surveillance-finder' .agents/skills/preprint-surveillance-finder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "preprint-surveillance-finder" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Evidence%20Insight/preprint-surveillance-finder into .agents/skills/preprint-surveillance-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprint-surveillance-finder", 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 aipoch/medical-research-skills --skill preprint-surveillance-finder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills preprint-surveillance-finder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'awesome-med-research-skills/Evidence Insight/preprint-surveillance-finder' .cursor/skills/preprint-surveillance-finder && 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 "preprint-surveillance-finder" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Evidence%20Insight/preprint-surveillance-finder into .cursor/skills/preprint-surveillance-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprint-surveillance-finder", 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/aipoch/medical-research-skills.git --path 'awesome-med-research-skills/Evidence Insight/preprint-surveillance-finder'--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 aipoch/medical-research-skills --skill preprint-surveillance-finder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills preprint-surveillance-finder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'awesome-med-research-skills/Evidence Insight/preprint-surveillance-finder' .gemini/skills/preprint-surveillance-finder && 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 "preprint-surveillance-finder" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Evidence%20Insight/preprint-surveillance-finder into .gemini/skills/preprint-surveillance-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprint-surveillance-finder", 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 aipoch/medical-research-skills preprint-surveillance-finderInstalls 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 aipoch/medical-research-skills --skill preprint-surveillance-finder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'awesome-med-research-skills/Evidence Insight/preprint-surveillance-finder' .github/skills/preprint-surveillance-finder && 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 "preprint-surveillance-finder" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Evidence%20Insight/preprint-surveillance-finder into .github/skills/preprint-surveillance-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprint-surveillance-finder", 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 aipoch/medical-research-skills --skill preprint-surveillance-finder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aipoch/medical-research-skills preprint-surveillance-finder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'awesome-med-research-skills/Evidence Insight/preprint-surveillance-finder' .opencode/skills/preprint-surveillance-finder && 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 "preprint-surveillance-finder" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Evidence%20Insight/preprint-surveillance-finder into .opencode/skills/preprint-surveillance-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprint-surveillance-finder", 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
preprint-surveillance-finder- GitHub stars
- 1.9k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 631 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 578
- Repo updated
- First seen
- Licence
- MIT
At a glance
Tracks the latest preprints and emerging research topics related to your topic across bioRxiv, medRxiv, and arXiv.
- Works in 4 steps: Clarify the Scout Parameters → Execute the Scan (two modes) → Organize and Report → …
- A user wants to discover what is being published right now before it reaches journals
- SKILL.md covers When to Use, Input Validation, Important: Data Access Reality and Core Workflow, plus 2 more sections
- Runs Python scripts from its folder; reaches export.arxiv.org and biorxiv.org
What it does
Preprint Surveillance Finder is an agent skill from aipoch/medical-research-skills. Tracks the latest preprints and emerging research topics related to your topic across bioRxiv, medRxiv, and arXiv. Use when a user wants to discover what is being published right now before it reaches journals, monitor competitor directions, spot new methodology trends, or get an early-warning scan of a research area. Triggers on phrases like "what's new in X", "latest preprints on Y", "emerging topics in Z", "monitor bioRxiv for", or "what are people working on in this field".
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `data/history.json`, `eval_report_preprint-surveillance-finder_result.json` and `references/README.md`).
It sits in Research & Science, covering Academic paper search. It works with arXiv. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.
When your agent uses it
- A user wants to discover what is being published right now before it reaches journals
- Monitor competitor directions
- Spot new methodology trends
- Get an early-warning scan of a research area
Example prompts
- “s new in X”
- “latest preprints on Y”
- “emerging topics in Z”
- “/preprint-surveillance-finder”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 686e09d. 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 3 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
export.arxiv.orgbiorxiv.orgmedrxiv.orgarxiv.org
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
Preprint Surveillance Finder loads about 1.4k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 128 tokens; SKILL.md has 631 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
The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 631 words, ~1,384 tokens.
Download SKILL.mdSave it as
.claude/skills/preprint-surveillance-finder/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- preprint-surveillance-finder
- description
- Tracks the latest preprints and emerging research topics related to your topic across bioRxiv, medRxiv, and arXiv. Use when a user wants to discover what is being published right now before it reaches journals, monitor competitor directions, spot new methodology trends, or get an early-warning scan of a research area. Triggers on phrases like "what's new in X", "latest preprints on Y", "emerging topics in Z", "monitor bioRxiv for", or "what are people working on in this field".
- license
- MIT
- author
- AIPOCH
Emerging Topic Scout
You are an expert research horizon-scanner. Your job is to identify emerging topics, trending preprints, and early-stage research directions in a given biomedical or biological area — helping users spot important work before it reaches mainstream journals.
When to Use
- Discovering the latest preprints on a specific topic (bioRxiv, medRxiv, arXiv q-bio)
- Monitoring a research area for new competitor directions or methodology shifts
- Getting a hot-topic landscape scan before writing an introduction or grant
- Identifying which sub-topics are gaining momentum in the last 1–4 weeks
- Finding early signals of a new research direction before it becomes crowded
Input Validation
This skill accepts any biomedical or biological research topic, keyword, disease, gene/pathway, or methodology.
Out-of-scope:
- Requests to retrieve specific paper PDFs (use a paper download skill)
- Requests to perform statistical citation analysis or bibliometrics (use a citation analysis skill)
- Non-biomedical topics outside life sciences
"Emerging Topic Scout focuses on biomedical and biological preprint monitoring. For other domains or full-text retrieval, please use a more appropriate skill."
Important: Data Access Reality
Live preprint fetching requires direct API or RSS access. In the current environment:
- arXiv q-bio: RSS accessible at
https://export.arxiv.org/rss/q-bio— recommended for computational biology, bioinformatics, quantitative biology - bioRxiv / medRxiv: May be blocked by Cloudflare in automated environments. If live access fails, this skill operates in knowledge-synthesis mode (see below)
Always state which mode is being used at the start of the response.
Core Workflow
Step 1 — Clarify the Scout Parameters
Before scanning, confirm:
- Topic / keywords: What is the research area or concept to monitor?
- Time window: Last 7 days? 14 days? 30 days? (default: 14 days)
- Source preference: bioRxiv, medRxiv, arXiv, or all?
- Focus type: broad landscape scan OR specific sub-topic tracking?
If the topic is very broad (e.g., "cancer"), ask the user to narrow to a sub-field or mechanism before proceeding.
Step 2 — Execute the Scan (two modes)
Mode A — Live Retrieval (when API/RSS is accessible):
- Query the relevant preprint server API or RSS feed for the specified topic and time window
- Extract paper titles, authors, posting dates, and abstracts
- Group papers by sub-topic cluster
- Identify papers with unusually high download or engagement signals if available
Mode B — Knowledge Synthesis (when live retrieval is unavailable):
- Synthesize based on training knowledge of the field up to the knowledge cutoff
- Clearly label all outputs as "Based on training knowledge — not live retrieval"
- Identify the most active research directions, emerging methods, and likely preprint themes
- Recommend specific search strings the user can run manually on bioRxiv/medRxiv/arXiv
Show full SKILL.md (207 more words)Show less
Step 3 — Organize and Report
Structure the output as:
Emerging Topic Scan Report
- Topic: [topic]
- Time window: [date range]
- Source(s): [bioRxiv / medRxiv / arXiv / knowledge synthesis]
- Data freshness: [live / training knowledge as of YYYY-MM]
Hot Topics (sorted by momentum): For each emerging cluster, provide:
- Topic name
- Why it is trending (new method, new disease application, breakthrough result)
- Representative paper(s) or themes (with titles and DOIs when available from live retrieval, or described thematically in synthesis mode)
- Estimated activity level: High / Moderate / Early signal
Quiet but Notable (potentially underexplored areas worth watching)
Recommended Next Steps
- Manual search strings to run on bioRxiv/medRxiv for live verification
- Suggested keywords to track going forward
Step 4 — Hard Rules
- Never fabricate paper titles, DOIs, author names, or abstract content
- If live retrieval is unavailable, always label outputs as knowledge synthesis with explicit date caveat
- Never present a training-knowledge inference as a confirmed live preprint
- Always provide manual search strings so the user can verify independently
- Do not claim a topic is "trending" based solely on training knowledge without noting the caveat
Manual Search Templates
For users who want to run searches directly:
bioRxiv search: https://www.biorxiv.org/search/[keywords]%20numresults%3A25%20sort%3Arelevance-rank
medRxiv search: https://www.medrxiv.org/search/[keywords]%20numresults%3A25%20sort%3Arelevance-rank
arXiv q-bio RSS: https://export.arxiv.org/rss/q-bio
arXiv search API: https://arxiv.org/search/?query=[keywords]&searchtype=all&start=0
References
→ API documentation and related tools: references/README.md
© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 7 other files (scripts, references) in awesome-med-research-skills/Evidence Insight/preprint-surveillance-finder of aipoch/medical-research-skills.
- SKILL.md
- data/history.json
- eval_report_preprint-surveillance-finder_result.json
- references/README.md
- requirements.txt
- scripts/main.py
- scripts/requirements.txt
- scripts/smoke_test.py
Open the folder on GitHubat commit 686e09d
Compare with similar skills
Preprint Surveillance Finder 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 |
|---|---|---|---|---|---|---|
| Preprint Surveillance Finder this skillaipoch/medical-research-skills | 1.9k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Read arXiv Paperkarpathy/nanochat | 59k | 1 repos | ~494 | Automated safety check: Pass | MIT | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Openalex Databaseneflibata-feng/MyArxiv-Agent | 126 | 12 repos | ~3k | Automated safety check: Pass | Custom licence | |
| Citation ManagementK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Notes | MIT | |
| Citation Managementneflibata-feng/MyArxiv-Agent | 126 | 19 repos | ~8.1k | Automated safety check: Notes | MIT |
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Related
Works with
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Questions about Preprint Surveillance Finder
What does Preprint Surveillance Finder do?
Tracks the latest preprints and emerging research topics related to your topic across bioRxiv, medRxiv, and arXiv. Preprint Surveillance Finder is an agent skill from aipoch/medical-research-skills. Tracks the latest preprints and emerging research topics related to your topic across bioRxiv, medRxiv, and arXiv.
When should I use Preprint Surveillance Finder?
Preprint Surveillance Finder fits situations like: A user wants to discover what is being published right now before it reaches journals; monitor competitor directions; spot new methodology trends; get an early-warning scan of a research area.
How do I install Preprint Surveillance Finder in Claude Code?
Run `npx skills add aipoch/medical-research-skills --skill preprint-surveillance-finder -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Evidence Insight/preprint-surveillance-finder in aipoch/medical-research-skills) into .claude/skills/preprint-surveillance-finder in your project. Claude Code loads it when a task matches its description.
How do I install Preprint Surveillance Finder in Codex?
Run `npx skills add aipoch/medical-research-skills --skill preprint-surveillance-finder -a codex`. Or copy the skill folder (awesome-med-research-skills/Evidence Insight/preprint-surveillance-finder in aipoch/medical-research-skills) into .agents/skills/preprint-surveillance-finder in your project. Codex loads it when a task matches its description.
Can I use Preprint Surveillance Finder 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 aipoch/medical-research-skills --skill preprint-surveillance-finder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/preprint-surveillance-finder, .gemini/skills/preprint-surveillance-finder, .github/skills/preprint-surveillance-finder and .opencode/skills/preprint-surveillance-finder in your project.
What does Preprint Surveillance Finder need to run?
Going by SKILL.md and its folder, Preprint Surveillance Finder needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Preprint Surveillance Finder access the network?
SKILL.md names 4 domains. In commands or code: export.arxiv.org, biorxiv.org, medrxiv.org and arxiv.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Preprint Surveillance Finder 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 Preprint Surveillance Finder use?
Preprint Surveillance Finder is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Preprint Surveillance Finder use?
About 1.4k tokens (SKILL.md is roughly 5.5k 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 2.1k tokens, read only when the agent opens those files.
What are the alternatives to Preprint Surveillance Finder?
Skills that share tags, products or a category with Preprint Surveillance Finder: Read arXiv Paper (karpathy/nanochat, 59k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Openalex Database (neflibata-feng/MyArxiv-Agent, 126 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 Preprint Surveillance Finder?
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.
Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.