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 zhaixin244-wq/fnw --skill presentation-html-generator-skillgit clone --depth 1 https://github.com/zhaixin244-wq/fnwWrote 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/zhaixin244-wq/fnw/presentation-html-generator-skill)<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/presentation-html-generator-skill"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/presentation-html-generator-skill/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/zhaixin244-wq/fnw/presentation-html-generator-skill"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/presentation-html-generator-skill.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 | $0.00135 | $0.02280 |
| Opus 5 | $0.00068 | $0.01140 |
| Sonnet 5 | $0.00027 | $0.00456 |
| Haiku 4.5 | $0.00014 | $0.00228 |
Grade A, and why
presentation-generator 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 9d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Presentation & Article Generator
Generate Reveal.js HTML presentations and Markdown technical deep-dive articles from complex technical projects or papers. All content in Chinese by default.
Core Principles
- Logic First: Establish overall architecture before diving into details. No fragmented info dumps.
- Visualization Driven: Use diagrams (Mermaid, architecture charts) over plain text whenever possible.
- Code-Theory Alignment: Every formula/diagram must map to concrete code implementation.
- Deep Dive via "What-Why-How-Code": For each core component, follow the 5-step pattern: Concept → Motivation → Mechanism → Code → Comparison.
- User Friendly: Leverage HTML/JS features for code highlighting, speaker notes, and interactivity.
Workflow: HTML Presentation Generation
Step 1: Analyze Source Material
Read the project/paper thoroughly. Collect:
- Model configs (yaml/json) for precise parameters
- Core model code for architecture details and tensor shapes
- Training code for loss design
- Inference code for inference flow
- README / paper for high-level overview
All technical details (parameter values, shapes, formulas) must come from source code, not guesswork.
Step 2: Plan Content Structure
Organize slides into these modules:
- Cover & Context — Title, pain points, one-line innovation summary
- High-Level Architecture — System overview, data flow, module interactions
- Core Component Deep Dives (~50%+ of slides) — Detailed breakdown per module
- Training & Inference Pipelines (AI model/algorithm only) — See Step 4.5 below
- Performance & Optimization — Experiments, speedup strategies, latency
- Summary & Future Work — Contributions, open problems
Step 3: Generate Single-File HTML
Produce a self-contained HTML file using Reveal.js via CDN. Must include:
- MathJax/KaTeX for LaTeX formulas
- highlight.js for code syntax highlighting
- Mermaid.js for diagrams (with manual rendering fix)
- Speaker notes (
<aside class="notes">) on every slide — conversational style, explain "why" not "what"
What ships with it
7 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.
- 9d ago First seen · 186 lines · 135 tokens per session scan A 4b8da0344e09
presentation-generator is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 135 tokens to every session and 2,280 once invoked, about $0.0007 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 2026-09-03.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.