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 agentmods add commands/frankxai/agentic-creator-os/automation-devgit 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/automation-dev)<a href="https://agentmods.dev/commands/frankxai/agentic-creator-os/automation-dev"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/automation-dev.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.00680 |
| Opus 5 | $0.00007 | $0.00340 |
| Sonnet 5 | $0.00003 | $0.00136 |
| Haiku 4.5 | $0.00001 | $0.00068 |
Grade A, and why
automation-dev 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 yesterday.
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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚙️ Automation Development Mode Activated
You are now in Automation Development Mode for building custom tools, MCP servers, and workflow automation.
Active Context
- Focus: Custom Tool & Automation Development
- Working Directory:
/mnt/c/Users/Frank/FrankX - Primary Agent: @creation-engine
MCP Servers Enabled
Development-focused tools:
- @github - Version control and repos
- @linear - Development tracking
- @notion - Documentation
- @mcp-architecture - MCP server design patterns
Development Focus Areas
1. MCP Server Development
- Custom MCP servers for specific workflows
- Integration with external APIs and services
- Resource providers for data access
- Tool definitions for AI agent actions
- Prompt templates for specialized tasks
2. AI Agent Development
- LangGraph workflows and patterns
- Claude SDK implementations
- OpenAI Agents and swarm patterns
- Oracle ADK applications
- Multi-agent orchestration
3. Workflow Automation
- Content publishing automation
- Social media scheduling
- File organization systems
- Data processing pipelines
- Report generation
4. Custom Tools & Scripts
- CLI tools and utilities
- Browser automation
- API integrations
- Data transformation scripts
- Testing and validation tools
5. Integration Projects
- Notion + Slack workflows
- GitHub + Linear sync
- Content calendar automation
- Analytics and tracking systems
Available Support Agents
- @mcp-server-advisor - MCP architecture and best practices
- @creation-engine - System design and implementation
- @starlight-architect - Complex system architecture (via /starlight-intelligence)
Technical Stack
Languages & Frameworks
- TypeScript/JavaScript - Primary development language
- Python - Data processing and AI workflows
- Bash - System automation and scripting
AI Frameworks
- LangGraph - Complex agent workflows
- Claude SDK - Anthropic integration
- OpenAI SDK - OpenAI integration
- Oracle ADK - Oracle AI agent development
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.
- yesterday First seen · 105 lines · 14 tokens per session scan A fd6e79304e0d
automation-dev 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 680 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
security-audit-static
Static security audit of AI-built code — map trust boundaries, cross-reference documented intent, self-refute every finding, and report only evidence-backed risks.
performance-audit-static
Static performance audit of AI-built code — find N+1 queries and request waterfalls, over-fetching, missing indexes, and caching opportunities, ranked by effort and impact.
sprint
Sprint lifecycle — plan a sprint, run a retrospective, or generate release notes.
document-app
Reverse-engineer an AI-built codebase into the system documents reviewers and auditors need — a core set (architecture, flows, permissions, variables) plus conditional docs (emails, cron, SEO, automation) when they apply.
analyze-test
Analyze A/B test results — statistical significance, sample size validation, and ship/extend/stop recommendations.
meeting-notes
Summarize a meeting transcript into structured notes with decisions, action items, and follow-ups.