OpenSwarm is an open-source multi-agent system in which specialized agents coordinate to produce deliverables such as presentations, research reports, data visualizations, documents, images, and videos. It is intended for people who want to request complex creative or analytical work from a terminal, with connections to external services. Its catalogue entries define agents, commands, rules, and instructions for those workflows.
Borrowing it
Nothing to install: this file belongs to VRSEN/OpenSwarm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/VRSEN/OpenSwarm/main/.claude/agents/agent-creator.mdgit clone --depth 1 https://github.com/VRSEN/OpenSwarmWrote 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/agents/vrsen/openswarm/agent-creator)<a href="https://agentmods.dev/agents/vrsen/openswarm/agent-creator"><img src="https://agentmods.dev/badge/agents/vrsen/openswarm/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.
<a href="https://agentmods.dev/agents/vrsen/openswarm/agent-creator"><img src="https://agentmods.dev/badge/agents/vrsen/openswarm/agent-creator.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 | $0.00022 | $0.01131 |
| Opus 5.5 | $0.00009 | $0.00452 |
| Sonnet 5.5 | $0.00004 | $0.00226 |
| Haiku 4.5 | $0.00002 | $0.00113 |
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 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.
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.
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
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.
- 1mo ago First seen · 181 lines · 22 tokens per session scan A 1a8ff6e489e8
agent-creator is an agent published in the GitHub repository VRSEN/OpenSwarm (2,873 stars, last pushed 3mo ago), licensed MIT. It adds 22 tokens to every session and 1,131 once invoked, about $0.0001 per session on Opus 5.5. 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.
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