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.
npx skills add hdu-ailab/EasyResearch --skill paper-searchgit clone --depth 1 https://github.com/hdu-ailab/EasyResearchWrote 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.
[](https://agentmods.dev/skills/hdu-ailab/easyresearch/paper-search)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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.
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.
Paper Search
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-workflowfirst 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.jsonunder the exact cwd; if the dispatch explicitly supplies an existing user layout, follow that layout. - For finally selected arXiv papers, use the
arxivskill 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-markdownskill; the orchestration layer never performs conversion directly. - After selected papers are verified and converted, Search uses
paper-material-packageto createref_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, formatYYYY-MM-DD; default2026-01-01) - End date
until(optional, formatYYYY-MM-DD; default today) - Result count
max-results(optional, default 10) - Data sources
sources(optional; default searches bothopenreviewandarxiv)
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.
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.
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.
- 10d ago First seen · 206 lines · 148 tokens per session scan A 2a485207524b
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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