omp-fleet

omp-fleet is a skill for Claude Code, Codex from avenoxai/avenoxskills. It costs 0 tokens per session (4,916 once invoked), scanned A, original, MIT.

A runner and coordinator for Oh My Pi, a command-line tool that lets coding agents carry out tasks through another agent harness. It also gathers context and can run multiple independent jobs.

In plain words
What is it for?
Use it to execute general coding tasks, collect context, run jobs in parallel, and review their logs.
Why use it?
It removes the need to manually launch, monitor, and summarize repeated agent jobs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions subagents; positional $N argument.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is Companion to [`codex-fleet`](../codex-fleet) — same doctrine, different runtime. Read that one for fleet fundamentals (briefs, worktree isolation, lane discipli.

Good fit Use it to execute general coding tasks, collect context, run jobs in parallel, and review their logs.

Compare 6 skills from other repositories ↓
Install

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.

Clone the repo
git clone --depth 1 https://github.com/avenoxai/avenoxskills
agentmods
npx agentmods add skills/avenoxai/avenoxskills/omp-fleet

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for omp-fleet

README.md
[![agentmods](https://agentmods.dev/badge/skills/avenoxai/avenoxskills/omp-fleet/github.svg)](https://agentmods.dev/skills/avenoxai/avenoxskills/omp-fleet)
Your own site
<a href="https://agentmods.dev/skills/avenoxai/avenoxskills/omp-fleet"><img src="https://agentmods.dev/badge/skills/avenoxai/avenoxskills/omp-fleet/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for omp-fleet

Your own site · 80×15
<a href="https://agentmods.dev/skills/avenoxai/avenoxskills/omp-fleet"><img src="https://agentmods.dev/badge/skills/avenoxai/avenoxskills/omp-fleet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,916 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Excessive Agency · line 66
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • high Privilege Escalation · line 225
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Agent Snooping · line 8
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium MCP Rug Pull · line 195
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium Excessive Agency · line 246
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 5.1 $0.00000 $0.04916
Opus 5.5 $0.00000 $0.01966
Sonnet 5.5 $0.00000 $0.00983
Haiku 4.5 $0.00000 $0.00492

Measured 1mo ago against content hash 72d62a4aac87, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

skills/omp-fleet/SKILL.md · 274 lines

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 is omp instead of codex exec.

Built and battle-tested by Avenox. Share freely.

CRITICAL: This is an ACTION skill, not commentary

When invoked you MUST:

  1. Actually invoke omp -p via the Bash tool. Never write instructions for the user to run themselves.
  2. Default to background execution (run_in_background: true) for anything likely to take >10s.
  3. 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.
  4. 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

  • omp installed and authenticated against at least one provider (omp --help, omp usage).
  • An OpenAI Codex subscription is the assumed default here. omp usage shows 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-6-astra:high (:medium for routine lanes) :xhigh/:max only for an explicitly heavy lane; the model replaced gpt-5.6-sol on 2026-09-05
Recon model openai-codex/gpt-6-luna:medium switch to the executor model when the lane must decide, not just read; replaced gpt-5.6-luna on 2026-09-26
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

Read the full file on GitHub · 274 lines

Files

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.

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. 1mo ago Changed 72d62a4aac87
  2. 1mo ago Changed bd62d4dbb772
  3. 2mo ago First seen · 274 lines · 0 tokens per session scan A 9981c3cae758

Subscribe to this mod's changes

omp-fleet is a skill published in the GitHub repository avenoxai/avenoxskills (112 stars, last pushed 19d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,916 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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