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/verymath/ai4math-writing/math-beamernpx skills add VeryMath/AI4Math-Writing --skill math-beamergit clone --depth 1 https://github.com/VeryMath/AI4Math-WritingWrote 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/verymath/ai4math-writing/math-beamer)<a href="https://agentmods.dev/skills/verymath/ai4math-writing/math-beamer"><img src="https://agentmods.dev/badge/skills/verymath/ai4math-writing/math-beamer.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 | $0.00100 | $0.02500 |
| Opus 5 | $0.00050 | $0.01250 |
| Sonnet 5 | $0.00020 | $0.00500 |
| Haiku 4.5 | $0.00010 | $0.00250 |
Grade A, and why
math-beamer 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.
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Math Beamer
Build and audit mathematical Beamer decks that are meant to be presented, compiled, and traced back to source material. This skill covers mathematical slide structure, not generic slide decoration.
Use When
Use this skill when the user wants to:
- turn a mathematical paper, lecture note, proof sketch, experiment log, or theorem outline into a Beamer deck;
- revise an existing
.texBeamer project for mathematical clarity, source-grounded claims, or build reliability; - select a reusable template for a seminar, reading group, defense, course, workshop, poster, or domain-specific math talk;
- audit theorem/proof/algorithm/formula/figure slides for notation, assumptions, overclaiming, and layout risks;
- build a Chinese, English, or bilingual mathematics deck with reproducible LaTeX commands.
Do not use this skill to invent results, prove unverified theorems, fabricate citations, or make institutional-branded templates public without checking license and logo rights.
Inputs
- Required: presentation goal, source packet, target audience, language, talk duration or slide count, and preferred output folder.
- Optional: existing Beamer source, bibliography, figures, data files, institutional style constraints, template choice, handout/poster mode, speaker notes, and compile command.
If the source packet is missing, produce a source request or an outline of needed evidence. Do not produce a full deck with unsupported claims.
Guided Interaction Contract
Default to guided mode unless the user explicitly requests autonomous execution or has already supplied an approved brief, template, outline, and sample direction.
- Work on one stage at a time. Ask only for decisions needed by the current stage.
- End every guided response with a checkpoint containing:
- current stage;
- what was completed;
- the decision needed from the user;
- available responses:
approve,revise,reject,skip, orstop; - what will happen after approval.
- Do not interpret silence, a new attachment, or a general acknowledgement as approval for a later stage.
- A user may combine stages only by explicitly providing the decisions for each skipped checkpoint.
What ships with it
60 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.
- agents/openai.yaml 430 B
- LICENSE 1.0 KB
- NORMALIZATION.md 619 B
- PROVENANCE.yaml 383 B
- README.md 6.8 KB
- README.zh-CN.md 6.4 KB
- references/build-and-layout-audit.md 1.2 KB
- references/math-domain-patterns.md 2.8 KB
- references/template-policy.md 980 B
- references/template-source-index.md 2.7 KB
- requirements-preview.txt 15 B
- scripts/generate_template_previews.py 4.8 KB runs code
- templates/catalog.yaml 6.8 KB
- templates/packs/algebra-number-theory-talk/main.tex 1.3 KB
- templates/packs/algebra-number-theory-talk/template.yaml 185 B
- templates/packs/algorithm-talk/main.tex 1.1 KB
- templates/packs/algorithm-talk/template.yaml 187 B
- templates/packs/analysis-core-talk/main.tex 1.6 KB
- templates/packs/analysis-core-talk/template.yaml 542 B
- templates/packs/backup-heavy-talk/main.tex 870 B
- templates/packs/backup-heavy-talk/template.yaml 209 B
- templates/packs/beamerposter-a0/main.tex 1.0 KB
- templates/packs/beamerposter-a0/template.yaml 196 B
- templates/packs/combinatorics-graph-talk/main.tex 1.7 KB
- templates/packs/combinatorics-graph-talk/template.yaml 536 B
- templates/packs/control-systems-talk/main.tex 1.6 KB
- templates/packs/control-systems-talk/template.yaml 528 B
- templates/packs/course-lecture-zh/main.tex 940 B
- templates/packs/course-lecture-zh/template.yaml 196 B
- templates/packs/data-experiment-results/main.tex 1.0 KB
- templates/packs/data-experiment-results/template.yaml 207 B
- templates/packs/dynamical-systems-talk/main.tex 1003 B
- templates/packs/dynamical-systems-talk/template.yaml 185 B
- templates/packs/geometry-topology-talk/main.tex 1.1 KB
- templates/packs/geometry-topology-talk/template.yaml 187 B
- templates/packs/information-coding-crypto-talk/main.tex 1.6 KB
- templates/packs/information-coding-crypto-talk/template.yaml 554 B
- templates/packs/logic-foundations-category-talk/main.tex 1.6 KB
- templates/packs/logic-foundations-category-talk/template.yaml 512 B
- templates/packs/numerical-analysis-talk/main.tex 1.1 KB
- templates/packs/numerical-analysis-talk/template.yaml 225 B
- templates/packs/optimization-talk/main.tex 1.5 KB
- templates/packs/optimization-talk/template.yaml 210 B
- templates/packs/pde-analysis-talk/main.tex 1.3 KB
- templates/packs/pde-analysis-talk/template.yaml 187 B
- templates/packs/probability-statistics-talk/main.tex 1.4 KB
- templates/packs/probability-statistics-talk/template.yaml 210 B
- templates/packs/reading-group-paper/main.tex 1.1 KB
- templates/packs/reading-group-paper/template.yaml 211 B
- templates/packs/seminar-minimal-en/main.tex 1.3 KB
- templates/packs/seminar-minimal-en/template.yaml 232 B
- templates/packs/seminar-minimal-zh/main.tex 1.4 KB
- templates/packs/seminar-minimal-zh/template.yaml 245 B
- templates/packs/theorem-proof-talk/main.tex 1.5 KB
- templates/packs/theorem-proof-talk/template.yaml 201 B
- templates/packs/thesis-defense/main.tex 1012 B
- templates/packs/thesis-defense/template.yaml 201 B
- templates/packs/workshop-tutorial/main.tex 766 B
- templates/packs/workshop-tutorial/template.yaml 170 B
- templates/preview-gallery.md 5.5 KB
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 · 267 lines · 100 tokens per session scan A 089403434f81
math-beamer is a skill published in the GitHub repository VeryMath/AI4Math-Writing (6 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 2,500 once invoked, about $0.0005 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 2026-08-31.
Other skills, from other repositories
scientific-critical-thinking
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review…
evomath-tao
Use this skill whenever the user submits a non-trivial mathematical claim that needs a rigorous proof or audit. Trigger on IMO/Putnam/USAMO/Olympiad-style problems, ML/AI theoretical statements, research conjectures, suspected-false claims, multi-step proofs the user already failed on, proof drafts with possible…
math-modeling-solver
数学建模竞赛解题全流程指导。覆盖国赛(CUMCM)和美赛(MCM/ICM)全部题型(A-F),提供12种问题本质分析、95+场景模型决策矩阵、5本算法Cookbook、11本完整例题Playbook、22个Python+7个MATLAB可运行代码模板。与math-modeling-paper形成"解题→写作"配对。当用户提及建模思路、选什么模型、怎么建模、赛题求解、粘贴赛题文本、美赛/国赛题目分析、CVaR/NSGA-II/Monte Carlo/时间序列/ANOVA/灰色关联、网络流/图论/生态建模、模型命名/Memo/Letter/Our Work流程图时,使用此skill。.
mathmodel-skill
CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling, solving, robustness, writing, compliance, and final submission review. Provides 10 stages, persistent decision state…
math-research-activator
数学研究路由器:为 AI 架构/算子设计、理论性质分析、数学结构迁移,以及密码学定义、构造、归约与协议审查,选择必要的数学透镜、知识锚点和设计检查。也用于与 AI 研究有关的数学查询。纯实现型 debug、重构、调参和一般代码审查不触发。 English: Route AI architecture/operator design, theoretical analysis, math-to-AI transfer, and cryptographic definitions, constructions, reductions, or protocol reviews to the minimum necessary…
math-skill
A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling.