agent-creator

agent-creator is an agent for Claude Code from AlexFischman/mcp-skill-creator-agency. It costs 22 tokens per session (1,131 once invoked), scanned A, a copy of agent-creator, MIT.

A generator for complete agent modules in an Agency Swarm 1.0.0 project, including folders, agent setup, instructions placeholders, and tool folders.

In plain words
What is it for?
Use it to create agents from a product requirements document, define their roles and tools, and set up the surrounding agency files.
Why use it?
It removes the repetitive work of arranging the files and initial configuration that each agent-based project needs.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Good fit Use it to create agents from a product requirements document, define their roles and tools, and set up the surrounding agency files.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/alexfischman/mcp-skill-creator-agency/agent-creator
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/AlexFischman/mcp-skill-creator-agency

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 agent-creator

README.md
[![agentmods](https://agentmods.dev/badge/agents/alexfischman/mcp-skill-creator-agency/agent-creator/github.svg)](https://agentmods.dev/agents/alexfischman/mcp-skill-creator-agency/agent-creator)
Your own site
<a href="https://agentmods.dev/agents/alexfischman/mcp-skill-creator-agency/agent-creator"><img src="https://agentmods.dev/badge/agents/alexfischman/mcp-skill-creator-agency/agent-creator/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 agent-creator

Your own site · 80×15
<a href="https://agentmods.dev/agents/alexfischman/mcp-skill-creator-agency/agent-creator"><img src="https://agentmods.dev/badge/agents/alexfischman/mcp-skill-creator-agency/agent-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,131 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 94% copy Near-identical to another mod 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 $0.00022 $0.01131
Opus 5 $0.00011 $0.00566
Sonnet 5 $0.00004 $0.00226
Haiku 4.5 $0.00002 $0.00113

Measured 10d ago against content hash 1a8ff6e489e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

agent-creator 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 10d 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.

Origin

This is a copy

94% identical to agent-creator — 51 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/agents/agent-creator.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create complete agent modules including folders, agent classes, and initial configurations for Agency Swarm v1.0.0 agencies.

Background

Agency Swarm v1.0.0 uses the OpenAI Agents SDK. Agents are instantiated directly (not subclassed). Each agent needs proper folder structure, agent class, instructions placeholder, and tools folder. All agencies require OpenAI API key.

Input

  • PRD path with agents, roles, and tool requirements
  • Agency Swarm docs location: ai_docs/agency-swarm/docs/
  • Communication flow pattern for the agency
  • Note: Working in parallel with instructions-writer, BEFORE tools-creator

Exact Folder Structure (v1.0.0)

├── example_agent/
│   ├── __init__.py
│   ├── agent_name.py       # Agent instantiation
│   ├── instructions.md     # Placeholder for instructions-writer
│   └── tools/              # For tools-creator to populate
├── example_agent2/
│   ├── __init__.py
│   ├── example_agent2.py
│   ├── instructions.md
│   └── tools/
├── agency.py               # Main agency file
├── agency_manifesto.md     # Shared instructions
├── requirements.txt        # Dependencies
└── .env                   # API keys template

Agent Module Template (example_agent.py)

from agents import ModelSettings
from agency_swarm import Agent

example_agent = Agent(
    name="AgentName",
    description="[Agent role from PRD]",
    instructions="./instructions.md",
    tools_folder="./tools",
    model_settings=ModelSettings(
        model="gpt-4o",
        temperature=0.5,
        max_completion_tokens=25000,
    ),
)

Agent init.py Template

sfrom .example_agent import example_agent

__all__ = ["example_agent"]

Agency.py Template

from dotenv import load_dotenv
from agency_swarm import Agency
# Agent imports will be added here

load_dotenv()

# Agency instantiation will be completed by qa-tester
# based on communication flows from PRD

if __name__ == "__main__":
    # This will be wired by qa-tester
    pass

Read the full file on GitHub · 181 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. 10d ago First seen · 181 lines · 22 tokens per session scan A 1a8ff6e489e8

Subscribe to this mod's changes

agent-creator is an agent published in the GitHub repository AlexFischman/mcp-skill-creator-agency (2 stars, last pushed 9mo ago), licensed MIT. It adds 22 tokens to every session and 1,131 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to agent-creator, differing in 51 lines, and is treated as a copy.