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-ai-prompts)<a href="https://agentmods.dev/commands/frankxai/agentic-creator-os/frankx-ai-prompts"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/frankx-ai-prompts/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-ai-prompts"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/frankx-ai-prompts.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 | $0.00015 | $0.00841 |
| Opus 5 | $0.00008 | $0.00420 |
| Sonnet 5 | $0.00003 | $0.00168 |
| Haiku 4.5 | $0.00002 | $0.00084 |
Grade A, and why
frankx-ai-prompts 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 8d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FrankX.AI Prompt Library Management
Location: /lib/prompts.ts
Live at: https://frankx.ai/prompt-library
Current Library Stats
The prompt library contains 25+ prompts across 12 categories serving creators, executives, and developers.
Adding a New Prompt
Step 1: Determine Category
| Category ID | Name | Focus |
|---|---|---|
task-specific |
Task-Specific | Operational playbooks |
ai-optimization |
AI Optimization | Model tuning, multi-agent |
business-applications |
Business Applications | Strategy, go-to-market |
creative-workflows |
Creative Workflows | Narrative, concepts |
technical-development |
Technical Development | Engineering, QA |
educational-content |
Educational Content | Curriculum, cohorts |
music-audio |
Music & Audio | Suno, DAW, sonic |
visual-design |
Visual Design | Midjourney, DALL-E |
data-analysis |
Data Analysis | Dashboards, research |
communication |
Communication | Storytelling |
productivity |
Productivity | Rituals, leverage |
interactive-experiences |
Interactive Experiences | Games, experiences |
Step 2: Prompt Structure
Add to the prompts array in /lib/prompts.ts:
{
id: 'unique-slug-id',
title: 'Prompt Title',
description: 'One sentence description of what this prompt does',
category: 'category-id',
tool: 'Claude' | 'ChatGPT' | 'Midjourney' | 'Suno' | 'DALL-E' | 'Notion' | 'Other',
difficulty: 'Beginner' | 'Intermediate' | 'Advanced',
usageCount: 0,
rating: 4.5,
prompt: `
The full prompt text here.
Can be multiline.
Use markdown formatting.
`,
expectedOutput: 'What the user should expect to receive',
tips: [
'Tip 1 for best results',
'Tip 2 for customization',
],
tags: ['tag1', 'tag2', 'tag3'],
}
Step 3: Quality Checklist
Before adding:
- Tested and produces good results
- Clear, actionable instructions
- Includes expected output description
- 2-3 useful tips
- Proper difficulty rating
- Relevant tags for discoverability
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.
- 8d ago First seen · 127 lines · 15 tokens per session scan A f0d94cb3c72b
frankx-ai-prompts is a command published in the GitHub repository frankxai/agentic-creator-os (10 stars, last pushed yesterday), licensed Apache-2.0. It adds 15 tokens to every session and 841 once invoked, about $0.0001 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.
Other commands, from other repositories
design-ai-feature
Design an AI-powered feature end-to-end — model selection, prompt architecture, eval framework, failure modes, cost modeling, and improvement flywheel.
generate-data
Generate realistic dummy datasets for testing — CSV, JSON, SQL inserts, or Python scripts.
prompt
System instructions for writing effective prompts. Apply when generating commands, skills, agents, or any LLM instructions.
music-suno-prompt
Grounded Suno prompt synthesis from local knowledge corpus + persona canon + label canon. No vibes-prompting.
prompt-generator
Generate effective prompts for Claude 4.5 Sonnet to achieve user-defined outcomes.
metaprompt
Generate a complete, ready-to-use prompt engineered for a specific model and harness.