omp

An adapter for running the OMP coding-agent command-line tool. It can pass prompts to OMP and expose its streaming responses and tool calls through the adapter.

In plain words
What is it for?
Use it to install OMP, run prompts such as linting a file, select a model, inspect JSONL session files, and add MCP servers—services that provide tools to the agent.
Why use it?
It gives a common way to install and run OMP while keeping its session files and supported options in a known structure.

Agent

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.

agentmods
npx agentmods add agents/a5c-ai/babysitter/omp
Clone the repo
git clone --depth 1 https://github.com/a5c-ai/babysitter
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 270 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00000 $0.00270
Opus 5 $0.00000 $0.00135
Sonnet 5 $0.00000 $0.00054
Haiku 4.5 $0.00000 $0.00027

Measured 3d ago against content hash fdd8a8353bb9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

omp 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 3d 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.

docs/adapters/reference/agents/omp.md · 58 lines

What it actually says

OMP

Adapter for the OMP agent CLI.

Install

adapters install omp

Supported on macOS, Linux and Windows.

Auth

  • Provider API keys — provider-specific env vars.

Config file: ~/.omp/agent/settings.json.

Minimal run

adapters run omp --prompt "Lint this file"

Notable flags

  • --model <id> — default default.
  • --prompt <text> — forwarded prompt.

Session files

  • Location: ~/.omp/agent/sessions/*.jsonl
  • JSONL; events text, message, tool_call are recognized.

Plugins

Plugin support: no. Use MCP servers for extensibility.

MCP Servers

adapters mcp install omp <mcp-server>
adapters mcp list omp

Registry: https://modelcontextprotocol.io

Capabilities

Tool calling (not parallel), tool-call streaming, text streaming, 128k context.

Known limitations

  • No parallel tool calls.
  • No thinking / JSON / structured output.
  • No image or file input.
  • Approval mode is not forwarded to the CLI.
  • Global config only (supportsProjectConfig: false).
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. 3d ago First seen · 58 lines · 0 tokens per session scan A fdd8a8353bb9

Subscribe to this mod's changes

omp is an agent published in the GitHub repository a5c-ai/babysitter (1,757 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 270 tokens. 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.

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