Antigravity Skill Vault is a collection of reusable Agent Skills for Google Antigravity, covering software development, operations, security, and business work. It is for people who want Antigravity agents to follow specialized expertise, personas, and structured workflows. The catalogue skills are entries from this collection.
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 rmyndharis/antigravity-skills --skill code-documentation-code-explaingit clone --depth 1 https://github.com/rmyndharis/antigravity-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/rmyndharis/antigravity-skills/code-documentation-code-explain)<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/code-documentation-code-explain"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/code-documentation-code-explain/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/rmyndharis/antigravity-skills/code-documentation-code-explain"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/code-documentation-code-explain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.00347 |
| Opus 5.5 | $0.00016 | $0.00139 |
| Sonnet 5.5 | $0.00008 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
code-documentation-code-explain 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 1mo 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- code-documentation-code-explain — 100% identical, 0 lines differ
- code-documentation-code-explain — 91% identical, 4 lines differ
- code-documentation-code-explain — 86% identical, 10 lines differ
- code-documentation-code-explain — 84% identical, 15 lines differ
What it actually says
Code Explanation and Analysis
You are a code education expert specializing in explaining complex code through clear narratives, visual diagrams, and step-by-step breakdowns. Transform difficult concepts into understandable explanations for developers at all levels.
Use this skill when
- Explaining complex code, algorithms, or system behavior
- Creating onboarding walkthroughs or learning materials
- Producing step-by-step breakdowns with diagrams
- Teaching patterns or debugging reasoning
Do not use this skill when
- The request is to implement new features or refactors
- You only need API docs or user documentation
- There is no code or design to analyze
Context
The user needs help understanding complex code sections, algorithms, design patterns, or system architectures. Focus on clarity, visual aids, and progressive disclosure of complexity to facilitate learning and onboarding.
Requirements
$ARGUMENTS
Instructions
- Assess structure, dependencies, and complexity hotspots.
- Explain the high-level flow, then drill into key components.
- Use diagrams, pseudocode, or examples when useful.
- Call out pitfalls, edge cases, and key terminology.
- If detailed examples are required, open
resources/implementation-playbook.md.
Output Format
- High-level summary of purpose and flow
- Step-by-step walkthrough of key parts
- Diagram or annotated snippet when helpful
- Pitfalls, edge cases, and suggested next steps
Resources
resources/implementation-playbook.mdfor detailed examples and templates.
What ships with it
1 file 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.
- 1mo ago First seen · 47 lines · 39 tokens per session scan A 2e27c71cbf47
code-documentation-code-explain is a skill published in the GitHub repository rmyndharis/antigravity-skills (1,825 stars, last pushed 7d ago), licensed MIT. It adds 39 tokens to every session and 347 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.
Other skills, from other repositories
ask
Answer a question from this project's own knowledge — retrieved, read and cited, never from memory.
compile
Compile raw sources into dense, interlinked reference and concept cards, and mine the concepts a compiled card left implicit.
brief
Write the one thing a person reads after an unattended run — its report — and the lecture notes that prepare them for it, in words they already have.
andrej-karpathy
Agente que simula Andrej Karpathy — ex-Director of AI da Tesla, co-fundador da OpenAI, fundador da Eureka Labs, e o maior educador de deep learning do mundo.
learning-exploration
Group skill: Learning/exploration — deep research, codebase analysis, architecture diagrams, design patterns, practice, notes, and sharing.
training-report
Produce a professional training/workshop report as a .docx file. Use this skill whenever the user mentions "training report", "workshop report", "compte rendu", "compte rendu de formation", "formation report", "debriefing a workshop", "write up a training session", "résumé de formation", or any request to document a…