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 Amazon-Quick/Amazon-Quick-official-catalog --skill research-paper-digestgit clone --depth 1 https://github.com/Amazon-Quick/Amazon-Quick-official-catalogWrote 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/amazon-quick/amazon-quick-official-catalog/research-paper-digest)<a href="https://agentmods.dev/skills/amazon-quick/amazon-quick-official-catalog/research-paper-digest"><img src="https://agentmods.dev/badge/skills/amazon-quick/amazon-quick-official-catalog/research-paper-digest/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/amazon-quick/amazon-quick-official-catalog/research-paper-digest"><img src="https://agentmods.dev/badge/skills/amazon-quick/amazon-quick-official-catalog/research-paper-digest.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00132 | $0.05098 |
| Opus 5 | $0.00066 | $0.02549 |
| Sonnet 5 | $0.00026 | $0.01020 |
| Haiku 4.5 | $0.00013 | $0.00510 |
Grade A, and why
research-paper-digest 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.
The source is not reproduced here
Licensed MIT-0
The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 9d ago First seen · 424 lines · 132 tokens per session scan A 18ac45181056
research-paper-digest is a skill published in the GitHub repository Amazon-Quick/Amazon-Quick-official-catalog (48 stars, last pushed 7d ago), licensed MIT-0. It adds 132 tokens to every session and 5,098 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.
Other skills, from other repositories
academic-paper-to-chinese-insight-pdf
Turn an academic paper PDF into a high-quality Chinese insight report and export it as a polished Chinese PDF. Use when asked to read a paper, translate or summarize a paper into Chinese, extract the paper's core ideas, produce original insights/opinions, explain the paper in simpler language, or deliver a Chinese PDF…
chinese-pdf-document-workflows
Class-level workflow for extracting, converting, editing, and producing polished Chinese PDFs and document reports from PDFs, papers, webpages, markdown, and video transcripts. Use when asked to create Chinese PDF reports, fix Chinese font/glyph rendering, summarize academic papers into Chinese insight reports…
rp-diet
Evidence-based nutrition guidance from The Renaissance Diet 2.0. Activate when users ask about diet for body composition, macros, calories, meal timing, fat loss, muscle gain, cutting, bulking, or nutrition periodization.
jupyter-live-kernel
Iterative Python via live Jupyter kernel (hamelnb).
ilya-sutskever-perspective
A thinking guide based on Ilya Sutskever’s public conversations, research papers, testimony, and recommended sources. It applies that material to AI research direction, technical reasoning, and safety questions.
arxiv
Search arXiv papers by keyword, author, category, or ID.