open-ma/open-managed-agents/openma
Claude Code and agent skill by open-ma/open-managed-agents
- community
Checking that the SKILL.md file is still in the repository.
Use an existing OpenMA instance to build 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 run/manage an agent on OpenMA. For deploying the platform itself, use the deploy-openma skill instead.
Install
npx vskill@latest install open-ma/open-managed-agents/openmaSKILL.md
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
For self-hosted instances, replace the login URL with the user's server origin. Confirm the instance and workspace before creating resources. Let the user complete browser authentication. For automation, accept OMA_BASE_URL and OMA_API_KEY from an existing secret manager or protected environment; do not ask for secrets in chat or print them in logs.
Run oma --help and oma api to check the installed CLI's commands and API shape. The CLI connects to an existing server; installing it does not deploy OpenMA.
Core Workflow
Use an existing Model Card's model_id, not its database record ID. Choose a ready environment with the needed runtime capabilities. Create missing resources only as required for the user's task; replace the placeholders below with the returned IDs:
chat sends a turn and streams its reply. message sends without waiting; tail follows events. A delivered message is not proof that the task succeeded. Check the resulting session status, events and outputs.
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
Prefer Console Model Cards for entering provider credentials. oma models list shows configured card handles; use oma api models for the current API contract. Providers use Pi IDs such as anthropic, openai, deepseek, and openrouter; legacy aliases remain accepted. Custom providers can require base_url and pi_config.api; use the SDK guide for that shape rather than assuming the CLI exposes every field.
MCP Server Connections
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/events/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.
Security
- Security scanPassed, 93 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/openma/SKILL.md
Popularity
- Repository stars
- 190
- Repository forks
- 17
- 7-day trend score
- 26
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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