AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill ai-studio-imagegit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills/ai-studio-image)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/ai-studio-image"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/ai-studio-image/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/sickn33/agentic-awesome-skills/ai-studio-image"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/ai-studio-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk fail
- 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 | $0.00038 | $0.03168 |
| Opus 5.5 | $0.00015 | $0.01267 |
| Sonnet 5.5 | $0.00008 | $0.00634 |
| Haiku 4.5 | $0.00004 | $0.00317 |
Grade A, and why
ai-studio-image 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 2d 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
8 near-identical copies found in the catalogue:
- ai-studio-image — 100% identical, 40 lines differ
- ai-studio-image — 100% identical, 32 lines differ
- ai-studio-image — 100% identical, 40 lines differ
- ai-studio-image — 100% identical, 40 lines differ
- ai-studio-image — 100% identical, 40 lines differ
- ai-studio-image — 100% identical, 40 lines differ
- ai-studio-image — 100% identical, 75 lines differ
- ai-studio-image — 100% identical, 40 lines differ
How it starts
The opening of the file, as written. The whole thing — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Supporting material availability
This catalog copy contains the inline guidance below, but does not include the following supporting paths. They are external prerequisites, not bundled files:
<support-root>/references/api-reference.md
Ask for the original supporting material or an existing installation before using a step that depends on these paths; this catalog does not identify a verified download source for them. Resolve each path relative to that installation, inspect its contents, and verify any applicable license and execution prerequisites. Do not run a command or claim a referenced procedure was followed until its required file exists. Do not fabricate the missing scripts or treat an unrelated file with the same name as equivalent. Independent steps fully documented here can proceed within the user’s authorized scope; report any dependent step as unavailable.
AI Studio Image — Especialista em Imagens Humanizadas
Overview
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
When to Use This Skill
- When the user mentions "gera imagem" or related topics
- When the user mentions "gerar foto" or related topics
- When the user mentions "criar imagem" or related topics
- When the user mentions "foto realista" or related topics
- When the user mentions "imagem humanizada" or related topics
- When the user mentions "foto influencer" or related topics
Do Not Use This Skill When
- The task is unrelated to ai studio image
- A simpler, more specific tool can handle the request
- The user needs general-purpose assistance without domain expertise
How It Works
A diferenca entre uma imagem de IA e uma foto real esta nos detalhes imperceptiveis: a leve granulacao de um sensor de celular, a iluminacao que nao e perfeita, o enquadramento ligeiramente descentralizado, a profundidade de campo caracteristica de uma lente pequena. Esta skill injeta sistematicamente essas qualidades em cada geracao.
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.
- 2d ago Changed · +6 lines b72fd7af2208
- 12d ago Changed · +8 lines 23d8a336c3fa
- 1mo ago First seen · 322 lines · 38 tokens per session scan A c67dfd3415d5
ai-studio-image is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,548 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 3,168 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 2026-09-05.
Other skills, from other repositories
ai-studio-image
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
ai-studio-image
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
ai-studio-image
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
ai-studio-image
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
ai-studio-image
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
ai-studio-image
Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.