geminigen-ai

geminigen-ai is a skill for Claude Code from oyi77/1ai-skills. It costs 66 tokens per session (819 once invoked), scanned A, original, MIT.

A single multimedia service for generating images, videos, and spoken audio from text or other inputs.

In plain words
What is it for?
Use it to generate images, videos, or text-to-speech audio through the supported media models.
Why use it?
It gives media-generation workflows one provider instead of requiring separate services for each output type.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the 1ai-skills plugin — 209 skills, 4 commands shipped together

Good fit Use it to generate images, videos, or text-to-speech audio through the supported media models.

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Install with agentmods
npx agentmods add skills/oyi77/1ai-skills/geminigen-ai
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.

Any agent
npx skills add oyi77/1ai-skills --skill geminigen-ai
Clone the repo
git clone --depth 1 https://github.com/oyi77/1ai-skills

Made for: Claude Code.

Or install 1ai-skills, the plugin that ships this one along with the rest of its 209 skills, 4 commands.

Wrote 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.

agentmods badge for geminigen-ai

README.md
[![agentmods](https://agentmods.dev/badge/skills/oyi77/1ai-skills/geminigen-ai/github.svg)](https://agentmods.dev/skills/oyi77/1ai-skills/geminigen-ai)
Your own site
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/geminigen-ai"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/geminigen-ai/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.

agentmods 80×15 button for geminigen-ai

Your own site · 80×15
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/geminigen-ai"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/geminigen-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 819 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00066 $0.00819
Opus 5 $0.00033 $0.00409
Sonnet 5 $0.00013 $0.00164
Haiku 4.5 $0.00007 $0.00082

Measured 9d ago against content hash 770ab67bb4b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

geminigen-ai 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.

content/geminigen-ai/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Geminigen Ai

When to Use

Trigger phrases:

  • "geminigen ai"
  • "Help me with geminigen ai"

Use cases:

  • When the task matches this skill's domain expertise

When NOT to use:

  • For tasks outside this skill's scope

CANONICAL PROVIDER — This is the single source of truth for all media generation in the 1ai-skills stack. Image (nano-banana-pro) · Video (grok-3 / veo / sora) · TTS — all unified under this API. Replaces: grok-video-generation, seedance, gemini-image-generator, content-generator (media providers).

When NOT to Use

  • When the content requires deep domain expertise you do not have
  • For legal, medical, or financial advice content
  • When real-time data is required (use live data feeds)

Overview

Geminigen Ai enables content production with professional quality and consistency.

Workflow

# Example: Content generation pipeline
def generate_content(topic: str, format: str = "article"):
    outline = create_outline(topic)
    draft = write_draft(outline, format)
    edited = edit_for_quality(draft)
    optimized = optimize_for_seo(edited)
    return publish(optimized)
  1. Define brief — Set objectives, audience, and style guidelines
  2. Research and gather — Collect source material and reference content
  3. Create draft — Generate initial content following the brief
  4. Refine and edit — Polish for quality, accuracy, and engagement
  5. Publish and distribute — Deploy to target platforms
  6. Track performance — Monitor engagement and iterate

Quality Checklist

  • Content matches the defined brief and audience
  • All facts verified against authoritative sources
  • Formatting consistent with style guidelines
  • SEO/distribution optimization applied
  • Call-to-action clear and compelling

Tools

  • Content management system for publishing
  • Analytics platform for performance tracking
  • Design tools for visual assets
  • Collaboration tools for review cycles

Anti-Rationalization Table

Read the full file on GitHub · 115 lines

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. 9d ago First seen · 115 lines · 66 tokens per session scan A 770ab67bb4b2

Subscribe to this mod's changes

geminigen-ai is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 819 once invoked, about $0.0003 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.