Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/avenoxai/avenoxskillsnpx agentmods add skills/avenoxai/avenoxskills/omp-fleetWrote 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/avenoxai/avenoxskills/omp-fleet)<a href="https://agentmods.dev/skills/avenoxai/avenoxskills/omp-fleet"><img src="https://agentmods.dev/badge/skills/avenoxai/avenoxskills/omp-fleet.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 | $0.00166 | $0.04708 |
| Opus 5 | $0.00083 | $0.02354 |
| Sonnet 5 | $0.00033 | $0.00942 |
| Haiku 4.5 | $0.00017 | $0.00471 |
Grade A, and why
omp-fleet 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OMP Fleet — Standalone Action Runner
A single self-contained skill for driving Oh My Pi (
omp) from any agent (Claude Code, Cursor, or your own harness). No external control plane required. Drop this file into.claude/skills/omp-fleet/SKILL.md(or your agent's skills dir) and go.Companion to
codex-fleet— same doctrine, different runtime. Read that one for fleet fundamentals (briefs, worktree isolation, lane discipline); this one covers what changes when the lane isompinstead ofcodex exec.Built and battle-tested by Avenox. Share freely.
CRITICAL: This is an ACTION skill, not commentary
When invoked you MUST:
- Actually invoke
omp -pvia the Bash tool. Never write instructions for the user to run themselves. - Default to background execution (
run_in_background: true) for anything likely to take >10s. - For multiple independent jobs, fire them ALL in parallel in a single message — but read the RAM section first, because omp lanes are expensive in memory and the ceiling is much lower than with Codex.
- Summarize from logs after each job; don't dump raw stdout unless asked.
The one thing everybody gets wrong
There is no omp exec subcommand. If you're coming from codex exec, the equivalent is -p / --print:
omp -p "your prompt" # correct — non-interactive, process and exit
omp exec "your prompt" # WRONG — no such subcommand
Prerequisites
ompinstalled and authenticated against at least one provider (omp --help,omp usage).- An OpenAI Codex subscription is the assumed default here.
omp usageshows every authenticated account and its remaining limit — run it before a fleet; that's your real capacity ceiling.
Defaults (locked in)
| Setting | Value | When to override |
|---|---|---|
| Provider | your own subscription, pinned | never — see the provider lock below |
| Executor model | openai-codex/gpt-5.6-sol:xhigh |
a cheaper tier for mechanical lanes |
| Recon model | openai-codex/gpt-5.6-luna:xhigh |
when the lane must decide, not just read |
| Config overlay | --config <skill dir>/codex-only.yml |
always pass it on unattended lanes |
| Approvals | --approval-mode yolo |
drop it if a human is watching and wants prompts |
| Tools | all of them, always | never pass --no-tools / --no-lsp / --no-skills |
| Timebox | --max-time 45m |
tune per lane; always set something |
What ships with it
1 file 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.
- 7d ago First seen · 274 lines · 0 tokens per session scan A 9981c3cae758
omp-fleet is a skill published in the GitHub repository avenoxai/avenoxskills (48 stars, last pushed 29d ago), licensed MIT. It adds 166 tokens to every session and 4,708 once invoked, about $0.0008 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.
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