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/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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.00000 | $0.04916 |
| Opus 5.5 | $0.00000 | $0.01966 |
| Sonnet 5.5 | $0.00000 | $0.00983 |
| Haiku 4.5 | $0.00000 | $0.00492 |
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.
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-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 |
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.
- 1mo ago Changed 72d62a4aac87
- 1mo ago Changed bd62d4dbb772
- 2mo ago First seen · 274 lines · 0 tokens per session scan A 9981c3cae758
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.
omp-fleet compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| omp-fleetavenoxai/avenoxskills | Skill | 112 | 19d ago | MIT | A | 0 | Claude Code, Codex |
| wiki-context-packAr9av/obsidian-wiki | Skill | 3.7k | yesterday | MIT | A | 63 | Claude Code |
| security-reviewwaybarrios/opencode-power-pack | Skill | 551 | 4d ago | MIT | A | 64 | Claude Code |
| feature-devwaybarrios/opencode-power-pack | Skill | 551 | 4d ago | MIT | A | 62 | Claude Code |
| huggingface-llm-trainerwaybarrios/opencode-power-pack | Skill | 551 | 4d ago | MIT | A | 65 | Claude Code |
| semgrep-rule-variant-creatorwaybarrios/opencode-power-pack | Skill | 551 | 4d ago | MIT | A | 50 | Claude Code |
| wordpress-com-webhookshookdeck/webhook-skills | Skill | 98 | yesterday | MIT | A | 160 | Claude Code, Codex |