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/acos-agents)<a href="https://agentmods.dev/commands/frankxai/agentic-creator-os/acos-agents"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/acos-agents/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/acos-agents"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/acos-agents.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 | $0.00725 |
| Opus 5 | $0.00000 | $0.00362 |
| Sonnet 5 | $0.00000 | $0.00145 |
| Haiku 4.5 | $0.00000 | $0.00072 |
Grade A, and why
acos-agents 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ACOS Agents - Agent Registry & Spawning
List available agent types and spawn specialized agents for tasks.
FrankX Specialized Agents
These agents are configured for FrankX workflows:
| Agent | Role | Triggers |
|---|---|---|
| Technical Architect | AI systems, Oracle, agentic orchestration | architecture, system design, API |
| Music Producer | Suno prompts, genre production, licensing | suno, music, song, audio |
| Content Engine | Blog articles, courses, products, SEO | article, blog, content, post |
| SEO Intelligence | AI citations, topic clusters, structured data | seo, keywords, rankings |
| Frontend Designer | Glassmorphic UI, accessibility, performance | component, design, ui, ux |
| DevOps Engineer | Vercel deployments, CI/CD, monitoring | deploy, build, ci, pipeline |
Claude Flow Core Agents
Ported from claude-flow V3 (37 definitions in .claude-flow/agents/):
| Category | Agents | Examples |
|---|---|---|
| Core | 5 | coder, reviewer, tester, planner, researcher |
| Development | 4 | backend-specialist, frontend-specialist, fullstack, devops |
| GitHub | 5 | pr-reviewer, issue-triager, release-manager |
| Swarm | 4 | coordinator, dispatcher, aggregator, monitor |
| Testing | 4 | unit-tester, integration-tester, e2e-tester, load-tester |
| Architecture | 4 | system-designer, api-architect, data-modeler, security-architect |
Swarm Coordinators
For multi-agent tasks, these coordinators manage the swarm:
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 · 72 lines · 0 tokens per session scan A fb0d1faffc79
acos-agents is a command published in the GitHub repository frankxai/agentic-creator-os (10 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 725 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
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.