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 | $0.00048 | $0.00848 |
| Opus 5.5 | $0.00019 | $0.00339 |
| Sonnet 5.5 | $0.00010 | $0.00170 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
paper-read 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 20d 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Choose the depth
Match the user's question; a focused question need not produce a full-paper report.
| Mode | Read for | Output |
|---|---|---|
skim |
Problem, approach, main results, figures, stated limitations | Concise overview with coverage limits. |
read (default) |
Method, setup, results, and claim/evidence alignment | Structured account with source locations. |
deep |
Assumptions, equations, ablations, implementation details, supplements | Critical appraisal and unresolved questions. |
Depth describes coverage, not a guaranteed duration. A skim cannot certify methodological soundness. Use the user's language unless they request otherwise.
Acquire and identify the evidence
Use the supplied text or accessible PDF. For a link, obtain the paper through
available browsing/download tools; record title, authors, identifier, exact
version, publication status, and available main/supplementary files.
An arXiv vN suffix identifies a specific version; preserve it instead of silently
switching to the newest paper. New and legacy identifiers are described in the
official arXiv identifier guide.
Extract with an available PDF reader, PyMuPDF, or Poppler. Use task-local files
and paths appropriate to the host; do not assume /tmp or a particular shell.
If extraction loses columns, math, tables, or figures, inspect rendered pages
and state what remains unreadable. A missing tool does not require installing
software when supplied text or another reader is sufficient.
For inaccessible/paywalled material, look for a legitimate author or repository copy, identify version differences, or request the relevant text. Do not infer the full paper from an abstract or pretend the supplement was inspected.
Analyze the inspected material
Read reading-framework.md for mode-specific
strategies and article-type adjustments. For read and deep, use the relevant
items from critical-appraisal.md.
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.
- 20d ago Changed d1203ae4f036
- 22d ago Changed 4fb81a8795e6
- 23d ago Changed 56ae29abc25c
- 24d ago Changed 68fe3e89ea2c
- 25d ago Changed · -134 lines · +8 tokens per session 6685d636cf7b
- 1mo 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 (184 stars, last pushed 20d ago), licensed MIT. It adds 48 tokens to every session and 848 once invoked, about $0.0002 per session on Opus 5.5. 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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ml-paper-writing
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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…