Workflow AI Coding
w8123/EnterpriseAgentFramework
Edit, validate, debug, publish, and inspect ReachAI Workflow drafts through the Workflow AI Coding REST API.
Use the openma platform to build, deploy, and manage AI agents.
Install Openma
$ npx skills add openma-ai/open-managed-agents --skill openma -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openma-ai/open-managed-agents openma --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openma .claude/skills/openma && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "openma" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/openma into .claude/skills/openma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openma", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/openma-ai/open-managed-agents/tree/main/skills/openmaType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add openma-ai/open-managed-agents --skill openma -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openma-ai/open-managed-agents openma --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openma .agents/skills/openma && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openma" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/openma into .agents/skills/openma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openma", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openma-ai/open-managed-agents --skill openma -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openma-ai/open-managed-agents openma --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openma .cursor/skills/openma && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "openma" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/openma into .cursor/skills/openma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openma", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/openma-ai/open-managed-agents.git --path skills/openma--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add openma-ai/open-managed-agents --skill openma -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openma-ai/open-managed-agents openma --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openma .gemini/skills/openma && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "openma" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/openma into .gemini/skills/openma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openma", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install openma-ai/open-managed-agents openmaInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add openma-ai/open-managed-agents --skill openma -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openma .github/skills/openma && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "openma" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/openma into .github/skills/openma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openma", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openma-ai/open-managed-agents --skill openma -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openma-ai/open-managed-agents openma --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openma .opencode/skills/openma && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "openma" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/openma into .opencode/skills/openma/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openma", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
openma- GitHub stars
- 315
- Token cost
- ~854 tokens
- SKILL.md length
- 288 words
- Files
- 5
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Use the openma platform to build, deploy, and manage AI agents.
- Users want to create agents
- SKILL.md covers Setup, Core Workflow, Resources and Model Cards, plus 4 more sections
- Calls npx; needs OMA_API_KEY
- Manage environments
What it does
Openma is an agent skill from openma-ai/open-managed-agents. Use the openma platform to build, deploy, and manage AI agents. Trigger when users want to create agents, start sessions, manage environments, configure model cards, handle vaults/credentials, install skills, connect MCP servers, or interact with the openma HTTP API. Also trigger when users mention "oma", "openma", "managed agents", or ask how to deploy/run/manage an agent on openma.
Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `integrations-github.md`, `integrations-linear.md` and `integrations-slack.md`).
It sits in AI & LLM Engineering, covering REST APIs, Model hubs and datasets and Building AI agents. It works with Model Context Protocol, OpenAI, Cloudflare and Cloudflare Durable Objects. The repository describes itself as: Open Managed Agents — an open-source alternative to Claude Managed Agents and OpenAI Agents API. Deploy with Node.js or Docker, run on Cloudflare, or use hosted OpenMA. Choose… The licence is Apache-2.0.
When your agent uses it
- Users want to create agents
- Manage environments
- Configure model cards
- Handle vaults/credentials
Example prompts
- “openma”
- “managed agents”
- “/openma”
Requirements
- Node.js
- A credential in OMA_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit 98db444. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
OMA_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Openma loads about 854 tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 288 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from openma-ai/open-managed-agents at commit 98db444, republished under its Apache-2.0 licence (© openma-ai). 288 words, ~854 tokens.
Download SKILL.mdSave it as
.claude/skills/openma/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- openma
- description
- Use the openma platform to build, deploy, and manage AI agents. Trigger when users want to create agents, start sessions, manage environments, configure model cards, handle vaults/credentials, install skills, connect MCP servers, or interact with the openma HTTP API. Also trigger when users mention "oma", "openma", "managed agents", or ask how to deploy/run/manage an agent on openma.
openma
openma is an open-source platform for building, deploying, and managing AI agents. You define an agent (model + system prompt + tools), the platform handles sandboxed execution, credential management, and session state.
Setup
npx open-managed-agents # or: npm i -g open-managed-agents
export OMA_BASE_URL=https://your-instance.workers.dev
export OMA_API_KEY=oma_xxxxxx # generate at Console → API KeysRun oma --help for all commands.
Core Workflow
oma agents create "my-agent" --model claude-sonnet-4-6
oma envs list # reuse existing, or:
oma envs create default
oma sessions create --agent <agent-id> --env <env-id>
oma sessions message <session-id> "Your task here"Resources
| Resource | CLI commands | Purpose |
|---|---|---|
| Agent | oma agents create/list/get/delete | Model + prompt + tools config |
| Environment | oma envs create/list | Sandbox runtime for sessions |
| Session | oma sessions create/list/message | Conversation with an agent |
| Model Card | oma models create/list | LLM API key + provider config |
| Vault | oma vaults create/list | Secure credential storage |
| Credential | oma creds list, oma secret add | Secret inside a vault |
| Skill | oma skills list/install | Domain expertise for agents |
| API Key | oma keys create/list/revoke | Auth token for CLI/SDK |
| Linear | oma linear list/pubs/publish/submit/handoff/update/unpublish/get | Publish agent into a Linear workspace |
Model Cards
oma models create --name "anthropic" --provider ant --model-id claude-sonnet-4-6 --api-key sk-ant-xxxProviders: ant, oai, ant-compatible, oai-compatible.
MCP Server Connections
oma vaults create "my-vault"
oma connect github --vault <vault-id>Known servers: airtable, amplitude, apollo, asana, atlassian, clickup,
github, intercom, linear, notion, sentry, slack.
HTTP API Reference
Run oma api for the full endpoint reference, or oma api <resource> for a specific
resource (agents, sessions, environments, models, vaults, oauth, skills, files,
memory, keys, evals, clawhub).
All /v1/* endpoints require x-api-key header. Use SSE streaming via
GET /v1/sessions/:id/stream for real-time agent responses.
Tips
- Check
oma agents list/oma envs listbefore creating — reuse existing resources. - Sessions are stateful — send multiple messages to continue the conversation.
- Use
oma api sessionsto see the full HTTP API when you need to code against it. - The
agent_toolset_20260401tool type gives agents file ops, bash, and web access.
Integrations
Publish an agent into a third-party tool so it acts as a teammate there.
See integrations-linear.md for the Linear flow —
covers the OAuth-app handshake, the two moments a human is genuinely needed,
and how to verify / unpublish from the CLI.
© openma-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files in skills/openma of openma-ai/open-managed-agents.
- SKILL.md
- integrations-github.md
- integrations-linear.md
- integrations-slack.md
- linear-local-test.md
Open the folder on GitHubat commit 98db444
Compare with similar skills
Openma next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Openma this skillopenma-ai/open-managed-agents | 315 | — | ~854 | Automated safety check: Pass | Apache-2.0 | |
| Workflow AI Codingw8123/EnterpriseAgentFramework | 836 | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Ydc Openai Agent SDK IntegrationLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.4k | Automated safety check: Notes | MIT | |
| AgentSquad for Swift2FastLabs/agent-squad | 7.8k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Agent AI Codingw8123/EnterpriseAgentFramework | 836 | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Agent Frameworkjihadkhawaja/Egroo | 178 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 |
Similar skills
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LeoYeAI/openclaw-master-skills
Integrate OpenAI Agents SDK with You.com MCP server - Hosted and Streamable HTTP support for Python and TypeScript.
AgentSquad for Swift
2FastLabs/agent-squad
Guides building on-device multi-agent apps in Swift with the AgentSquad framework: which agent, orchestrator, classifier, storage or voice type fits each situation.
Agent AI Coding
w8123/EnterpriseAgentFramework
Create, inspect, and safely update project-scoped ReachAI Agents; edit and publish Supervisor config drafts; discover published bindable Skills; and attach or detach exact Skill versions through the…
Agent Framework
jihadkhawaja/Egroo
Build, extend, and debug AI agents in Egroo using the Microsoft Agent Framework (C .NET).
Tool Design
agentailor/fullstack-langgraph-nextjs-agent
Design and verify tools that AI agents can actually use — for any framework or language (MCP servers, LangChain/LangGraph, function-calling, raw JSON schema; TypeScript, Python, or otherwise).
More from openma-ai/open-managed-agents
Create Agent
openma-ai/open-managed-agents
Help users create and configure openma managed agents through conversation.
Related
Questions about Openma
What does Openma do?
Use the openma platform to build, deploy, and manage AI agents. Openma is an agent skill from openma-ai/open-managed-agents. Use the openma platform to build, deploy, and manage AI agents.
When should I use Openma?
Openma fits situations like: users want to create agents; manage environments; configure model cards; handle vaults/credentials.
How do I install Openma in Claude Code?
Run `npx skills add openma-ai/open-managed-agents --skill openma -a claude-code`. Or copy the skill folder (skills/openma in openma-ai/open-managed-agents) into .claude/skills/openma in your project. Claude Code loads it when a task matches its description.
How do I install Openma in Codex?
Run `npx skills add openma-ai/open-managed-agents --skill openma -a codex`. Or copy the skill folder (skills/openma in openma-ai/open-managed-agents) into .agents/skills/openma in your project. Codex loads it when a task matches its description.
Can I use Openma in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openma-ai/open-managed-agents --skill openma -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openma, .gemini/skills/openma, .github/skills/openma and .opencode/skills/openma in your project.
What does Openma need to run?
Going by SKILL.md and its folder, Openma needs the command-line tools its instructions call (npx) and credentials named OMA_API_KEY. Our summary lists: Node.js; A credential in OMA_API_KEY.
Does Openma access the network?
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Openma safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Openma use?
Openma is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Openma use?
About 854 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Openma?
Skills that share tags, products or a category with Openma: Workflow AI Coding (w8123/EnterpriseAgentFramework, 836 stars), Ydc Openai Agent SDK Integration (LeoYeAI/openclaw-master-skills, 2.2k stars), AgentSquad for Swift (2FastLabs/agent-squad, 7.8k stars) and Agent AI Coding (w8123/EnterpriseAgentFramework, 836 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Openma?
openma-ai (a GitHub organization) maintains it in openma-ai/open-managed-agents, which has 315 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 6, 2026.
Source: openma-ai/open-managed-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.