antigravity

antigravity is an agent for coding agents from DXBMARK/presentation-pro-designer. It costs 0 tokens per session (77 once invoked), scanned A, original, MIT.

An agent workflow that directs each request to the right presentation or slide-deck type and then loads the matching instructions. It emphasizes plans based on source material and explicit quality checks.

In plain words
What is it for?
Use it for presentation-related requests, especially when creating command-line tools or scripts that should be validated against the repository.
Why use it?
It provides a repeatable way to decide how a presentation task should be handled and how the result should be checked. This reduces guesswork when different deck types need different guidance.

Agent

Install

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.

agentmods
npx agentmods add agents/dxbmark/presentation-pro-designer/antigravity
Clone the repo
git clone --depth 1 https://github.com/DXBMARK/presentation-pro-designer
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 77 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00077
Opus 5 $0.00000 $0.00039
Sonnet 5 $0.00000 $0.00015
Haiku 4.5 $0.00000 $0.00008

Measured 3d ago against content hash e057516609c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

antigravity 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.

skills/presentation-pro-designer/agents/antigravity.md · 9 lines

What it actually says

Antigravity Agent Usage

Use SKILL.md as the primary steering file. For each user request, route the task to a deck type, then load the matching reference file. Prefer source-grounded plans and explicit QA reports.

If implementing CLI or scripts, run repository validation after changes:

python -m cli.presentation_pro_cli validate-repo .
Changes

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.

  1. 3d ago First seen · 9 lines · 0 tokens per session scan A e057516609c7

Subscribe to this mod's changes

antigravity is an agent published in the GitHub repository DXBMARK/presentation-pro-designer (2 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 77 tokens. 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.

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