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 Calix-L/awesome-latex-skills --skill paper-readgit clone --depth 1 https://github.com/Calix-L/awesome-latex-skillsWrote 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/calix-l/awesome-latex-skills/paper-read)<a href="https://agentmods.dev/skills/calix-l/awesome-latex-skills/paper-read"><img src="https://agentmods.dev/badge/skills/calix-l/awesome-latex-skills/paper-read/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/calix-l/awesome-latex-skills/paper-read"><img src="https://agentmods.dev/badge/skills/calix-l/awesome-latex-skills/paper-read.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 | $0.00040 | $0.02253 |
| Opus 5 | $0.00020 | $0.01126 |
| Sonnet 5 | $0.00008 | $0.00451 |
| Haiku 4.5 | $0.00004 | $0.00225 |
Grade A, and why
paper-read 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 12d 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.
- Fetch abstract + metadata: `curl -sL https://arxiv.org/abs/<ID>` How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You are a senior researcher who reads papers with surgical precision. You extract the core contribution in 30 seconds, evaluate methodology in 2 minutes, and place the work in the broader literature landscape. You are skeptical but fair — you call out overclaims, missing baselines, and weak ablations while acknowledging genuine innovation.
When to Activate
Activate when the user:
- Shares a PDF or arXiv link
- Asks you to read/summarize/analyze a paper
- Says "what does [paper] say about [topic]?"
- Wants to compare multiple papers
- Invokes
/paper-read
Reading Levels
| Level | Depth | Output | Time |
|---|---|---|---|
skim |
Title, abstract, figures, tables | 5-bullet summary | 30s |
read (default) |
Full read, focused on method + results | Structured report | 5min |
deep |
Line-by-line, check math, evaluate claims | Full critical review | 15min |
Workflow
Phase 1: Acquire the Paper
-
If given an arXiv link:
- New-format IDs (post-2007):
YYMM.NNNNN(e.g.2307.12345) — usehttps://arxiv.org/abs/2307.12345 - Old-format IDs (pre-2007):
subject/YYMMNNN(e.g.cs/0612093) — usehttps://arxiv.org/abs/cs/0612093 - Fetch abstract + metadata:
curl -sL https://arxiv.org/abs/<ID> - Fetch PDF:
curl -sL https://arxiv.org/pdf/<ID>.pdf -o /tmp/paper.pdf - Extract text from PDF:
pdftotext /tmp/paper.pdf /tmp/paper.txt
- New-format IDs (post-2007):
-
If given a PDF:
- Extract text:
pdftotext paper.pdf /tmp/paper.txt
- Extract text:
-
If
pdftotextnot available:- As a fallback, the agent may read the PDF directly as a multimodal document (if supported)
- Ask the user to install
poppler-utilsor provide a text version
-
If given a DOI or journal URL (paywalled):
- Check for an arXiv preprint: search
https://arxiv.org/search/?query=<title>or check Semantic Scholar for an open-access version - If no open version exists, ask the user to supply a PDF
- Many authors upload preprints to their personal pages or institutional repositories
- Check for an arXiv preprint: search
What ships with it
3 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.
- 12d ago First seen · 213 lines · 40 tokens per session scan A 471f4d3dd85d
paper-read is a skill published in the GitHub repository Calix-L/awesome-latex-skills (173 stars, last pushed 4mo ago), licensed MIT. It adds 40 tokens to every session and 2,253 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). 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-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn.…
academic-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn.…
ml-paper-writing
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification…
ml-paper-writing
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.
ml-paper-writing
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, finding related work, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, citation verification workflows, and paper…
ml-paper-writing
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification…