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.
npx agentmods add skills/openma-ai/open-managed-agents/openmanpx skills add openma-ai/open-managed-agents --skill openmagit clone --depth 1 https://github.com/openma-ai/open-managed-agentsWrote 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/skills/openma-ai/open-managed-agents/openma)<a href="https://agentmods.dev/skills/openma-ai/open-managed-agents/openma"><img src="https://agentmods.dev/badge/skills/openma-ai/open-managed-agents/openma.svg" alt="Measured on agentmods" 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 | $0.00087 | $0.00847 |
| Opus 5 | $0.00044 | $0.00424 |
| Sonnet 5 | $0.00017 | $0.00169 |
| Haiku 4.5 | $0.00009 | $0.00085 |
Grade A, and why
openma 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- oma — 97% identical, 12 lines differ
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 Keys
Run 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-xxx
Providers: 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
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 91 lines · 87 tokens per session scan A 4247b4cb0d69
openma is a skill published in the GitHub repository openma-ai/open-managed-agents (258 stars, last pushed 2d ago), licensed Apache-2.0. It adds 87 tokens to every session and 847 once invoked, about $0.0004 per session on Opus 5. 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 2026-08-30.
Other skills, from other repositories
openhermit-admin
Explain what OpenHermit is and how to deploy and administer it — setup, CLI, gateway, agent config, API. Use when the user asks about installing, operating, or administering an OpenHermit deployment. For how agents behave for their owners/users/guests, see openhermit-guide.
skill-creator
Create, structure, and validate new skills. Use when designing a skill, scaffolding a skill directory, or improving an existing skill.
openhermit-guide
Explain how an OpenHermit agent behaves for the people interacting with it — owners, users, and guests. Covers roles, identity linking, the agent's tools, access levels, channels, the policy model, and the approval flow. Use when someone asks how an OpenHermit agent works from a caller's perspective. For deploying or…
smartstudy
Turn any lecture material (text, PDF, web page) into an adaptive study session — extract topics, quiz the user, track mastery with FSRS spaced repetition, and let the RL policy decide what to study next. Use when the user wants to study, revise, prepare for an exam, or asks "quiz me" on some material.
agent-reach
MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。 Also MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, Facebook, Instagram…
tmux
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.