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 mayank-io/mstack --skill alphaxiv-papergit clone --depth 1 https://github.com/mayank-io/mstackWrote 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/mayank-io/mstack/alphaxiv-paper)<a href="https://agentmods.dev/skills/mayank-io/mstack/alphaxiv-paper"><img src="https://agentmods.dev/badge/skills/mayank-io/mstack/alphaxiv-paper/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/mayank-io/mstack/alphaxiv-paper"><img src="https://agentmods.dev/badge/skills/mayank-io/mstack/alphaxiv-paper.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 | $0.00060 | $0.00682 |
| Opus 5.5 | $0.00024 | $0.00273 |
| Sonnet 5.5 | $0.00012 | $0.00136 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
alphaxiv-paper scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://alphaxiv.org/overview/{PAPER_ID}.md" This is a copy
86% identical to alphaxiv-paper-lookup — 22 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaXiv Paper Lookup
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
When to Use
- User shares an arxiv URL (e.g.
arxiv.org/abs/2401.12345) - User mentions a paper ID (e.g.
2401.12345) - User asks you to explain, summarize, or analyze a research paper
- User shares an alphaxiv URL (e.g.
alphaxiv.org/overview/2401.12345)
Workflow
Step 1: Extract the paper ID
Parse the paper ID from whatever the user provides:
| Input | Paper ID |
|---|---|
https://arxiv.org/abs/2401.12345 |
2401.12345 |
https://arxiv.org/pdf/2401.12345 |
2401.12345 |
https://alphaxiv.org/overview/2401.12345 |
2401.12345 |
2401.12345v2 |
2401.12345v2 |
2401.12345 |
2401.12345 |
Step 2: Fetch the machine-readable report
curl -s "https://alphaxiv.org/overview/{PAPER_ID}.md"
This returns the intermediate machine-readable report — a structured, detailed analysis of the paper optimized for LLM consumption. One call, plain markdown, no JSON parsing.
If this returns 404, the report hasn't been generated for this paper yet.
Step 3: If you need more detail, fetch the full paper text
If the report doesn't contain the specific information the user is asking about (e.g. a particular equation, table, or section), fetch the full paper text:
curl -s "https://alphaxiv.org/abs/{PAPER_ID}.md"
This returns the full extracted text of the paper as markdown. Only use this as a fallback — the report is usually sufficient.
If this returns 404, the full text hasn't been processed yet. As a last resort, direct the user to the PDF at https://arxiv.org/pdf/{PAPER_ID}.
Error Handling
- 404 on Step 2: Report not generated for this paper.
- 404 on Step 3: Full text not yet extracted for this paper.
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.
- 2mo ago First seen · 72 lines · 60 tokens per session scan A 1723024ea31c
alphaxiv-paper is a skill published in the GitHub repository mayank-io/mstack (6 stars, last pushed 3d ago), licensed MIT. It adds 60 tokens to every session and 682 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to alphaxiv-paper-lookup, differing in 22 lines, and is treated as a copy.
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