paper-search

paper-search is a skill for Claude Code, Codex from hdu-ailab/EasyResearch. It costs 148 tokens per session (2,180 once invoked), scanned A, original, MIT.

A paper-finding tool for locating and organizing possible research papers from arXiv and OpenReview, two public services for sharing scholarly work and reviews. It uses a topic, time range, and chosen sources to return a structured list.

In plain words
What is it for?
Use it to find papers about a research direction, limit results by date or source, or collect examples of papers, experiment sizes, and writing patterns. It can prepare a candidate list for later filtering or summarizing.
Why use it?
It reduces the manual work of searching several research-paper sources and keeping candidate papers organized. It also keeps paper discovery separate from later downloading, reading, and writing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find papers about a research direction, limit results by date or source, or collect examples of papers, experiment sizes, and writing patterns. It can prepare a candidate list for later filtering or summarizing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hdu-ailab/easyresearch/paper-search
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hdu-ailab/EasyResearch --skill paper-search
Clone the repo
git clone --depth 1 https://github.com/hdu-ailab/EasyResearch

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for paper-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/hdu-ailab/easyresearch/paper-search/github.svg)](https://agentmods.dev/skills/hdu-ailab/easyresearch/paper-search)
Your own site
<a href="https://agentmods.dev/skills/hdu-ailab/easyresearch/paper-search"><img src="https://agentmods.dev/badge/skills/hdu-ailab/easyresearch/paper-search/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for paper-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/hdu-ailab/easyresearch/paper-search"><img src="https://agentmods.dev/badge/skills/hdu-ailab/easyresearch/paper-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 148 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,180 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00148 $0.02180
Opus 5 $0.00074 $0.01090
Sonnet 5 $0.00030 $0.00436
Haiku 4.5 $0.00015 $0.00218

Measured 10d ago against content hash 2a485207524b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

paper-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/fetch_papers.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

src/skills/paper-search/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When To Use

  • The user asks to search papers for a research direction
  • The user wants to restrict the time range, result count, or data sources
  • The user wants OpenReview or arXiv results prioritized
  • The user needs a structured paper list for later reading, filtering, or summarization
  • The user wants to see sample papers, experiment scales, or writing patterns of a direction in target journals (e.g. Q3/Q4 venues)

Workflow Integration

  • In a full paper project, research-project-workflow first coordinates the directory layout and stage order; then this skill searches candidate papers.
  • This skill only returns a candidate paper list; PDF download, text conversion, factual paper cards, experiments, and manuscript writing are outside its scope.
  • In a paper project, organize or save the script JSON output to ref_papers/source.json under the exact cwd; if the dispatch explicitly supplies an existing user layout, follow that layout.
  • For finally selected arXiv papers, use the arxiv skill to verify ID, version, BibTeX, and citation information.
  • If public PDFs must be fetched and converted to Markdown, the Search agent uses the pdf-to-markdown skill; the orchestration layer never performs conversion directly.
  • After selected papers are verified and converted, Search uses paper-material-package to create ref_papers/paper-notes.md. Do not add summaries or survey prose to this candidate-search Skill.

Inputs

Extract from the user request:

  • Search direction / topic (required)
  • Start date since (optional, format YYYY-MM-DD; default 2026-01-01)
  • End date until (optional, format YYYY-MM-DD; default today)
  • Result count max-results (optional, default 10)
  • Data sources sources (optional; default searches both openreview and arxiv)

By default only query is needed; the remaining parameters use their defaults. Add a time range, data sources, or result count only when the user explicitly asks.

Read the full file on GitHub · 206 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 206 lines · 148 tokens per session scan A 2a485207524b

Subscribe to this mod's changes

paper-search is a skill published in the GitHub repository hdu-ailab/EasyResearch (13 stars, last pushed today), licensed MIT. It adds 148 tokens to every session and 2,180 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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