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/products-creation)<a href="https://agentmods.dev/commands/frankxai/agentic-creator-os/products-creation"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/products-creation/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/products-creation"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/products-creation.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 | $0.00014 | $0.00538 |
| Opus 5 | $0.00007 | $0.00269 |
| Sonnet 5 | $0.00003 | $0.00108 |
| Haiku 4.5 | $0.00001 | $0.00054 |
Grade A, and why
products-creation 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 5d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🚀 Product Creation Mode Activated
You are now in Product Creation Mode for developing digital products across all FrankX domains.
Active Context
- Focus: Digital Product Development & Packaging
- Working Directories:
$FRANKX_DIR(configure in environment)$AI_MUSIC_ACADEMY_DIR(configure in environment)
- Primary Agent: @creation-engine
MCP Servers Enabled
Full product creation stack:
- @notion - Product planning, documentation, template creation
- @github - Code products and repositories
- @nano-banana - Product graphics and assets
- @framer - Landing pages and marketing sites
- @linear - Product roadmaps and releases
Product Categories
1. Digital Courses
- AI Music Academy courses
- Personal development programs
- AI architecture training
- Personal growth & transformation courses
2. Notion Templates
- Productivity systems
- Content calendars
- Project management
- Personal development trackers
- Music production workflows
3. Music & Audio Products
- Meditation tracks
- Frequency healing music
- Instrumental albums
- Sound packs and samples
4. Technical Products
- MCP servers
- AI agent templates
- Code frameworks
- Architecture blueprints
5. Ebooks & Guides
- How-to guides
- Frameworks and methodologies
- Case studies
- Implementation guides
6. Coaching Programs
- Group coaching structures
- 1:1 program frameworks
- Accountability systems
- Transformation programs
Available Support Agents
Cross-domain expertise:
- @creation-engine - Product strategy and packaging
- @template-design-experts - Template design and marketability
- @coaching-program-designer - Coaching program structure
- @viral-content-strategist - Product marketing
- @visionary - Product-market fit and strategy
Product Development Process
- Ideation - Market research, audience needs
- Design - Structure, format, delivery method
- Creation - Content development and packaging
- Refinement - Testing, feedback, iteration
- Launch Prep - Marketing assets, sales pages
- Distribution - Platform setup, delivery systems
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.
- 5d ago First seen · 89 lines · 14 tokens per session scan A 13754cc90080
products-creation is a command published in the GitHub repository frankxai/agentic-creator-os (10 stars, last pushed yesterday), licensed Apache-2.0. It adds 14 tokens to every session and 538 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
plan-okrs
Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results.
training-coach-trainer
Train-the-trainer (TtT) protocol for internal subject-matter-experts who will deliver a training program. Condensed adult-learning principles, facilitation skills, common SME-as-trainer failure modes, cohort facilitation practice schedule, and a TtT-readiness rubric. Refuses SME deployment without TtT.
training-scenarios
Scenario / case library design for a skill domain — 10-15 scenarios across difficulty range with setup, decision points, response rubric, and debrief discussion guide. Format mirrors the structured-interview rubric pattern from the Hiring sub-system. Scenarios are the bridge from concept to on-job behavior; without…
sound-sync-placement-thesis
When brief-fit passes, name the 3-7 tracks that fit the brief with reference cues. Per track ISRC, version, brief-cue match, clearance flags. The pitch document the supervisor reads. Refuses pitch-everything-to-everything volume strategy.
sound-composition-demo
Produce a Demo Plan for a song — what the demo proves, what it does not need to prove yet, capture method matched to what's being proven, reference-track grounding. Refuses skipping the demo gate. Not legal advice.
recap
Get a summary of everything you learned this session — concepts, quizzes, and progress.