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 skills add Future-CX/AI-Architecture-Toolkit --skill create-an-agentgit clone --depth 1 https://github.com/Future-CX/AI-Architecture-ToolkitWrote 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/skills/future-cx/ai-architecture-toolkit/create-an-agent)<a href="https://agentmods.dev/skills/future-cx/ai-architecture-toolkit/create-an-agent"><img src="https://agentmods.dev/badge/skills/future-cx/ai-architecture-toolkit/create-an-agent/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/skills/future-cx/ai-architecture-toolkit/create-an-agent"><img src="https://agentmods.dev/badge/skills/future-cx/ai-architecture-toolkit/create-an-agent.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 | $0.00036 | $0.00397 |
| Opus 5.5 | $0.00014 | $0.00159 |
| Sonnet 5.5 | $0.00007 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
create-an-agent 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 2mo 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.
What it actually says
Create An Agent
Quick Start
Create agent definitions under agents/ using the preset template in templates/agent-template.md.
Use the helper script when the requested agent has a clear name, purpose, and responsibilities:
python3 skills/create-an-agent/scripts/create-agent.py "Data Architect" \
--purpose "Support data architecture decisions across platforms, ownership, quality, and governance." \
--responsibility "Clarify data ownership, domains, and critical data flows." \
--responsibility "Assess data quality, privacy, retention, and lineage needs." \
--responsibility "Review analytics, integration, and operational data implications."
This creates agents/data-architect-agent.md.
Workflow
- Determine the agent name and convert it to
<slug>-agent.md. - Capture a one-sentence purpose.
- Capture 3-7 concrete responsibilities.
- Generate the file under
agents/using the preset template. - Do not overwrite an existing agent file unless the user explicitly asks.
- Keep the style consistent with the existing files in
agents/. - Update the Agents table in the top-level
README.mdwhenever an agent is created or updated.
Output Standard
Each agent file must use this structure:
# Agent Name
## Purpose
One-sentence purpose.
## Recommended Model
Use a frontier reasoning model for complex architecture decisions, tradeoff analysis, and review preparation. Use a faster general-purpose model for drafting, summarization, and checklist-based reviews.
## Responsibilities
- Responsibility one.
- Responsibility two.
- Responsibility three.
Template
Use templates/agent-template.md as the source template for generated agent files.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 59 lines · 36 tokens per session scan A b137780378ad
create-an-agent is a skill published in the GitHub repository Future-CX/AI-Architecture-Toolkit (8 stars, last pushed 18d ago), licensed MIT. It adds 36 tokens to every session and 397 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
create-an-agent compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| create-an-agentFuture-CX/AI-Architecture-Toolkit | Skill | 8 | 18d ago | MIT | A | 36 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |