paper-material-package

paper-material-package is a skill for Claude Code, Codex from hdu-ailab/EasyResearch. It costs 63 tokens per session (1,278 once invoked), scanned A, original, MIT.

A research handoff that turns a chosen set of papers into separate, readable notes with checked facts and supporting evidence.

In plain words
What is it for?
It helps prepare materials for surveys, experiment planning, related-work analysis, and citation checking.
Why use it?
It gives later writing and experiment work a trustworthy source of paper details instead of making them guess from search snippets or scattered files.

Skill for Claude CodeCodex

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

Good fit It helps prepare materials for surveys, experiment planning, related-work analysis, and citation checking.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/hdu-ailab/easyresearch/paper-material-package"><img src="https://agentmods.dev/badge/skills/hdu-ailab/easyresearch/paper-material-package.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,278 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 $0.00063 $0.01278
Opus 5 $0.00032 $0.00639
Sonnet 5 $0.00013 $0.00256
Haiku 4.5 $0.00006 $0.00128

Measured 9d ago against content hash 7e01ac5d44cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

paper-material-package 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 9d 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.

src/skills/paper-material-package/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Material Package

Purpose

Create ref_papers/paper-notes.md as the readable handoff between Search and downstream specialists. Keep each paper separate and factual so Writing can build cross-paper taxonomy and synthesis without guessing what the sources say.

This Skill does not search for candidates, verify metadata by itself, download PDFs, or convert documents. Use paper-search, arxiv, and pdf-to-markdown first. It does not write a literature review, compare papers across the collection, choose a taxonomy, or draft manuscript prose.

Inputs

Inspect these exact-cwd artifacts when available:

  • ref_papers/source.json
  • ref_papers/pdf/
  • ref_papers/text/
  • an existing ref_papers/paper-notes.md
  • the dispatch topic, inclusion scope, and expected paper count

Follow another existing layout only when the dispatch explicitly identifies it. Do not infer paper facts from search snippets when readable source text exists.

Stable Paper Keys

Give every selected paper one stable key, using the first available value:

  1. arXiv id, including version only when version-specific evidence matters;
  2. DOI;
  3. OpenReview forum id;
  4. another verified repository identifier;
  5. a short normalized title key when no stable identifier exists.

Store the key as note_key on the matching source.json entry and use it in note headings, citation checks, and later Writing tasks. Preserve every existing manifest field. Do not invent an identifier.

Output Contract

Maintain one file at ref_papers/paper-notes.md:

# Paper Material Notes

## Material Scope
- Topic:
- Intended use: survey | empirical | hybrid | citation-only
- Requested paper count:
- Selected paper count:
- Full-text-ready count:
- Sources and date range:
- Known coverage gaps:

## <stable-key>: <verified title>
- Citation metadata: <authors; year; venue; DOI/arXiv/OpenReview URL>
- Local sources: <PDF path; readable text path>
- Material status: complete | partial
- Research question: <what problem the paper addresses>
- Method: <factual mechanism or study design>
- Data and evaluation: <datasets, tasks, baselines, metrics, protocol>
- Main findings: <results supported by the source>
- Limitations: <reported or directly evidenced limitations>
- Topic relevance: <why this paper belongs in the requested material set>
- Evidence locators:
  - <section/page/table/figure/text heading>: <fact supported there>
- Unresolved material gaps: <none or exact missing evidence>

Read the full file on GitHub · 138 lines

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. 9d ago First seen · 138 lines · 63 tokens per session scan A 7e01ac5d44cf

Subscribe to this mod's changes

paper-material-package is a skill published in the GitHub repository hdu-ailab/EasyResearch (13 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 1,278 once invoked, about $0.0003 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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