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 agentmods add skills/alaliqing/claude-paper/studynpx skills add alaliqing/claude-paper --skill studygit clone --depth 1 https://github.com/alaliqing/claude-paperWrote 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/alaliqing/claude-paper/study)<a href="https://agentmods.dev/skills/alaliqing/claude-paper/study"><img src="https://agentmods.dev/badge/skills/alaliqing/claude-paper/study.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00025 | $0.02405 |
| Opus 5 | $0.00013 | $0.01203 |
| Sonnet 5 | $0.00005 | $0.00481 |
| Haiku 4.5 | $0.00003 | $0.00241 |
Grade A, and why
study scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
94% identical to claude-paper-study — 32 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 468 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Study Workflow
Invoke this skill with a paper PDF path.
Language Detection: Detect the user's language from their input and generate ALL materials in that language.
- Example: User says "我们学习一下这篇论文吧" → Generate materials in Chinese
- Example: User says "Let's study this paper" → Generate materials in English
Core Philosophy
Primary Objective: Facilitate deep conceptual understanding and research-level thinking.
Secondary Objective: Create a structured, reusable paper knowledge system.
This workflow is not just for summarizing — it builds a learning environment around the paper.
Step 0: Check Dependencies (First Run Only)
if [ ! -f "${CLAUDE_PLUGIN_ROOT}/.installed" ]; then
echo "First run - installing dependencies..."
cd "${CLAUDE_PLUGIN_ROOT}"
npm install || exit 1
# Install Python dependencies for image extraction
python3 -m pip install pymupdf --user 2>/dev/null || pip3 install pymupdf --user 2>/dev/null || echo "Warning: Failed to install pymupdf"
touch "${CLAUDE_PLUGIN_ROOT}/.installed"
echo "Dependencies installed!"
fi
Recommended:
- Node >= 18
- Python 3 with pip (for image extraction)
Step 1: Download and Parse PDF
Supports multiple input formats:
- Local path:
~/Downloads/paper.pdf - Direct PDF URL:
https://arxiv.org/pdf/1706.03762.pdf - arXiv URL:
https://arxiv.org/abs/1706.03762
Step 1a: Check input type and download if URL
USER_INPUT="<user-input>"
# Check if input is a URL (starts with http:// or https://)
if [[ "$USER_INPUT" =~ ^https?:// ]]; then
# Download PDF from URL
INPUT_PATH=$(node ${CLAUDE_PLUGIN_ROOT}/skills/study/scripts/download-pdf.cjs "$USER_INPUT")
else
# Use local path directly
INPUT_PATH="$USER_INPUT"
fi
For URLs, the download script will:
- Download PDFs to
/tmp/claude-paper-downloads/ - Convert arXiv
/abs/URLs to PDF URLs automatically - Validate that URLs point to PDF files
- Return the local file path for processing
What ships with it
4 files 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.
- 4d ago First seen · 468 lines · 25 tokens per session scan A fbaeecaf2e18
study is a skill published in the GitHub repository alaliqing/claude-paper (333 stars, last pushed 20d ago), licensed MIT. It adds 25 tokens to every session and 2,405 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to claude-paper-study, differing in 32 lines, and is treated as a copy.
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