create-agent

create-agent is a command for Claude Code from exponen-agi/recursive-agentic-improvements. It costs 0 tokens per session (6,197 once invoked), scanned A, original, MIT.

A command for researching requirements and scaffolding a new AI agent with Agno, CrewAI, LangGraph, or Google ADK, which are tools for building agent applications.

In plain words
What is it for?
Use it to plan and create agents such as travel assistants, document summarizers, customer-support bots, or DevOps helpers.
Why use it?
It helps define the agent's job and framework before code is written, reducing the risk of building against unsupported tools or unclear requirements.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: reads .claude/ paths; mentions subagents.

Good fit Use it to plan and create agents such as travel assistants, document summarizers, customer-support bots, or DevOps helpers.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/exponen-agi/recursive-agentic-improvements/create-agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/exponen-agi/recursive-agentic-improvements

Made for: Claude Code.

Wrote 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.

agentmods badge for create-agent

README.md
[![agentmods](https://agentmods.dev/badge/commands/exponen-agi/recursive-agentic-improvements/create-agent/github.svg)](https://agentmods.dev/commands/exponen-agi/recursive-agentic-improvements/create-agent)
Your own site
<a href="https://agentmods.dev/commands/exponen-agi/recursive-agentic-improvements/create-agent"><img src="https://agentmods.dev/badge/commands/exponen-agi/recursive-agentic-improvements/create-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.

agentmods 80×15 button for create-agent

Your own site · 80×15
<a href="https://agentmods.dev/commands/exponen-agi/recursive-agentic-improvements/create-agent"><img src="https://agentmods.dev/badge/commands/exponen-agi/recursive-agentic-improvements/create-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,197 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.06197
Opus 5.5 $0.00000 $0.02479
Sonnet 5.5 $0.00000 $0.01239
Haiku 4.5 $0.00000 $0.00620

Measured 1mo ago against content hash 2bc74d5ba7aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create-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 1mo 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.

.claude/commands/create-agent.md · 755 lines

How it starts

The opening of the file, as written. The whole thing — 755 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/create-agent — Research, Plan, and Scaffold a New AI Agent

Build any AI agent for any domain in any supported framework. The skill researches what tools and patterns actually exist before writing a single line of code.

Usage: /create-agent [framework] Examples:

  • /create-agent agno → then describe "a travel assistant that books flights and hotels"
  • /create-agent crewai → then describe "a competitive intelligence crew"
  • /create-agent langgraph → then describe "a DevOps automation agent"
  • /create-agent google-adk → then describe "a medical appointment scheduler"
  • /create-agent → will ask everything

Supported frameworks: Agno · CrewAI · LangGraph · Google ADK


Step 1 — Gather Requirements

If a framework is given in $ARGUMENTS, use it. Otherwise ask.

Ask all remaining questions at once — do not ask one by one:

  1. Which framework? Agno / CrewAI / LangGraph / Google ADK
  2. What should this agent do? Describe freely — domain, job, users, and goal. No need to match a preset category. Examples: "a travel assistant that searches flights and hotels", "a legal document summariser", "a customer support bot for a SaaS product", "a multi-agent DevOps pipeline that monitors, diagnoses, and fixes CI failures".
  3. Who are the users? Internal team / end customers / developers / automated system
  4. What tools or external services do you know you need? Leave blank if unsure — the research phase will discover options.
  5. Memory across sessions? Yes / No
  6. Should it work standalone or as part of a multi-agent system? Standalone / Multi-agent
  7. Agent name and slug — human name and kebab-case slug (e.g., travel-assistant)
  8. Generate Test Suite? Yes / No (Default: Yes, conforming to the Test Constitution at tests/TEST_CONSTITUTION.md)

Step 2 — Validate Environment and Check MCP

Framework package check

Run the appropriate check:

# Agno
python -c "import agno; print('agno', agno.__version__)"

# CrewAI
python -c "import crewai; print('crewai', crewai.__version__)"

# LangGraph
python -c "import langgraph; print('langgraph', langgraph.__version__)"

# Google ADK
python -c "from google.adk.agents import LlmAgent; print('google-adk ok')"

Read the full file on GitHub · 755 lines

Changes

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.

  1. 1mo ago Changed 2bc74d5ba7aa
  2. 1mo ago Changed · +16 lines 5eada4304f0b
  3. 1mo ago Changed · +5 lines ba7cabda3bee
  4. 2mo ago First seen · 734 lines · 0 tokens per session scan A 23aed430b39e

Subscribe to this mod's changes

create-agent is a command published in the GitHub repository exponen-agi/recursive-agentic-improvements (2 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,197 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 2026-08-31.

Related

create-agent compared with commands from other repositories

create-agent next to 6 commands from other repositories
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