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/mr-devs/cc-academic-website/create-talknpx skills add mr-devs/cc-academic-website --skill create-talkgit clone --depth 1 https://github.com/mr-devs/cc-academic-websiteWrote 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/mr-devs/cc-academic-website/create-talk)<a href="https://agentmods.dev/skills/mr-devs/cc-academic-website/create-talk"><img src="https://agentmods.dev/badge/skills/mr-devs/cc-academic-website/create-talk.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 | $0.00083 | $0.01073 |
| Opus 5 | $0.00042 | $0.00536 |
| Sonnet 5 | $0.00017 | $0.00215 |
| Haiku 4.5 | $0.00008 | $0.00107 |
Grade A, and why
create-talk 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 3d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Talk
Build a new talk deck by copying talks/templates/ and filling it with real content. If that template doesn't exist yet, build it with the user first (step 0). The template is a viewable reveal.js deck whose slide formats are the design system — the job is composition (which format carries which idea), not visual design.
Input
$ARGUMENTS
Workflow
0. Check that the template exists
Everything below assumes talks/templates/ is present. Check first:
ls talks/templates/index.html
If it's missing, the template has to be built before any talk can be scaffolded. Say so, then follow references/bootstrap-template.md to develop it with the user — it inherits the site's palette and typography, and the format catalog is theirs to choose. Build and verify the template first, then come back to step 1 for the talk they actually asked for.
1. Gather inputs
Collect before outlining (use AskUserQuestion for anything important that's missing — these decisions shape the whole deck):
- Venue, date, and talk title — needed for the title slide and directory name.
- Talk length and audience — drives the slide budget (~1 slide or build-up step per minute) and how much background to include.
- Source material paths — LaTeX source, paper PDF, figure directories, an abstract, or a prior deck to adapt. Read what's provided; see references/content-mapping.md for how to mine each input type.
- Directory name —
talks/YYYY_shortname/(year of the talk + a short lowercase tag, e.g.2026_sicss), matching any decks already undertalks/.
2. Outline first — get approval before writing any HTML
Propose a slide-by-slide outline: for each slide, the format name (from the catalog) and one line of content. Group build-up sequences explicitly ("Figure build-up ×3: baseline → add condition → highlight result"). Getting the outline right is where the user can cheaply redirect; rewriting finished HTML is expensive. Show the outline and wait for approval, adjusting until it fits the time budget and the story the user wants to tell.
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.
- 3d ago First seen · 64 lines · 83 tokens per session scan A fc63efd77bf1
create-talk is a skill published in the GitHub repository mr-devs/cc-academic-website (5 stars, last pushed 23d ago), licensed MIT. It adds 83 tokens to every session and 1,073 once invoked, about $0.0004 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
blog-post
Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.
manim-video
Production pipeline for mathematical and technical animations using Manim Community Edition. Creates 3Blue1Brown-style explainer videos, algorithm visualizations, equation derivations, architecture diagrams, and data stories. Use when users request: animated explanations, math animations, concept visualizations…
edu-math-tutorial
数学题分步讲解视频的领域知识。适用场景:(1) 用户给出一道数学题并要求做讲解/ 解题视频;(2) 用户说"讲解这道题"、"生成解题视频"、"make a math tutorial"; (3) 需要中文数学教学视频,涉及方程、公式或几何图形。本 skill 只提供领域 知识(题目拆解、讲解节奏、旁白文案规范、版式与 KaTeX 排版风格);画面、 配音与成片一律用 Creator 原生 Element 与工具从源头构建。.
ljg-classic
古文逐字注解、组合排版、章节意旨图与全章解读生成器。把原文、字词注、句义注、无字顶部配图和章节解读排成一张可读的长 PNG。USE WHEN 用户调用 ljg-classic OR 要求给文言文、古诗文、经史子集做逐字注解、彩色夹注、章节解读、古文讲义图、章节配图。NOT FOR 只翻译一句古文、只写现代文章或通用内容卡片。.
baoyu-comic
Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
songwriting-and-ai-music
Songwriting craft, AI music generation prompts (Suno focus), parody/adaptation techniques, phonetic tricks, and lessons learned. These are tools and ideas, not rules. Break any of them when the art calls for it.