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.
git clone --depth 1 https://github.com/frankxai/agentic-creator-osWrote 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/commands/frankxai/agentic-creator-os/frankx-infogenius)<a href="https://agentmods.dev/commands/frankxai/agentic-creator-os/frankx-infogenius"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/frankx-infogenius/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/commands/frankxai/agentic-creator-os/frankx-infogenius"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/frankx-infogenius.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 | $0.00000 | $0.02142 |
| Opus 5.5 | $0.00000 | $0.00857 |
| Sonnet 5.5 | $0.00000 | $0.00428 |
| Haiku 4.5 | $0.00000 | $0.00214 |
Grade A, and why
frankx-infogenius 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.
How it starts
The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/frankx-infogenius - Premium Visual Generation for FrankX Brand
Premium-First Image Generation - Research → Brand-Aligned Style → High-Quality Output
Overview
FrankX-specific implementation of InfoGenius that:
- Uses brand-approved premium styles
- Integrates with content roadmap and sprint plan
- Auto-detects missing images across blog/products
- Updates
IMAGE_INDEX.mdautomatically - Maintains consistent brand visual identity
Brand-Approved Styles (Use Only These)
Based on brand review, use ONLY these premium styles:
| Style ID | Visual Description | Best For |
|---|---|---|
premium-gradient |
Elegant color gradients, soft glows, modern minimalism, clean typography | Launches, announcements, flagship content, vision pieces |
da-vinci-technical |
Leonardo notebook style, warm sepia, ink sketches, technical diagrams, handwritten annotations | Research, architecture, deep technical, scientific |
3d-isometric |
Clean isometric blocks, modern UI elements, soft shadows, studio lighting | Workshops, tutorials, how-to guides, practical content |
business-professional |
Clean lines, blue/white/gold accents, corporate elegance, subtle gradients | Business, strategy, enterprise, professional guides |
focused-futuristic |
Tech HUD elements (restrained), data visualization, glowing elements, NOT cluttered | AI/tech content, cutting-edge topics, innovation |
AVOID These Styles
- cluttered-cyberpunk - Too busy, distracts from message
- cartoon/comic - Doesn't match premium brand
- overly-abstract - Needs clear visual communication
- vintage/retro - Not aligned with modern tech brand
Auto-Detection Workflow
Step 1: SCAN FOR MISSING IMAGES
When invoked without a specific topic, scan the codebase:
# Find blog posts without images
grep -L "^image:" content/blog/*.mdx 2>/dev/null
# Find products without hero images
# Check data/products.json for missing images
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 · 273 lines · 0 tokens per session scan A fb78deedaa1e
frankx-infogenius is a command published in the GitHub repository frankxai/agentic-creator-os (13 stars, last pushed 4d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,142 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 2026-09-03.
Other commands, from other repositories
write-stories
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stitch-generate
Full Stitch pipeline — author prompts, generate screens via MCP, fetch images and code.
saas-review
Review the current code or component against SaaS design principles — identifies violations and suggests improvements.
design
Route a design GitHub issue through the UI Taste Harness — investigate → architect → implement → critique loop → user-feedback loop → close — accumulating FORGE:DESIGN annotations and driving the design: label state machine to design:shipped.
design-bench
Run the ABC benchmark — reference URL → design-blind brief → render arms A/B/C → blind judge → scorecard with win-rates over n runs.
guideline-reviewer
Review app code and UI for compliance with public UI design-system and accessibility standards. Checks app header, data table, filter field, connections, permissions, settings, dashboards, accessibility, and data naming.