oh-my-agent is a harness for checking whether coding agents actually completed their work by verifying tests, required artifacts, independent reviews, and recorded decisions. It is used across multiple agent runtimes to make workflow results auditable instead of relying on an agent's own report. The catalogue add-ons provide parts of its skills, agents, hooks, MCP integrations, instructions, and plugins.
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 skills add first-fluke/oh-my-agent --skill oma-coordinationgit clone --depth 1 https://github.com/first-fluke/oh-my-agentWrote 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/first-fluke/oh-my-agent/oma-coordination)<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-coordination"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-coordination/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/first-fluke/oh-my-agent/oma-coordination"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-coordination.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.01445 |
| Opus 5 | $0.00018 | $0.00723 |
| Sonnet 5 | $0.00007 | $0.00289 |
| Haiku 4.5 | $0.00004 | $0.00145 |
Grade A, and why
oma-coordination 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 today.
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-coordination — 100% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Agent Workflow Guide
Scheduling
Goal
Guide manual multi-agent coordination for complex work that spans PM, frontend, backend, mobile, and QA responsibilities.
Intent signature
- User wants step-by-step coordination, manual agent spawning, or multi-domain work planning without full automation.
- Task spans multiple specialist agents and requires contract alignment.
When to use
- Complex feature spanning multiple domains (full-stack, mobile)
- Coordination needed between frontend, backend, mobile, and QA
- User wants step-by-step guidance for multi-agent coordination
When NOT to use
- Simple single-domain task -> use the specific agent directly
- User wants automated execution -> use orchestrator
- Quick bug fixes or minor changes
Expected inputs
- Complex feature or project goal
- Required domains and priority tiers
- Workspace/session constraints and API/data contract needs
Expected outputs
- Manual coordination sequence
- PM task decomposition, agent spawn order, monitoring guidance, and QA review step
- API/data contract alignment checkpoints
Dependencies
- PM, frontend, backend, mobile, QA, and orchestrator skills
- CLI
oma agent spawnand progress/result memory conventions
Control-flow features
- Branches by task complexity, priority tiers, dependency ordering, and whether automation is desired
- Spawns independent same-priority tasks in parallel when appropriate
- Monitors progress files and contract alignment
Structural Flow
Entry
- Confirm the task is complex enough for multi-agent coordination.
- Start with PM task decomposition.
- Identify priority tiers and shared contracts.
Scenes
- PREPARE: Define session, domains, and task decomposition needs.
- ACT: Spawn agents by priority with separate workspaces.
- VERIFY: Monitor progress and API/data contract alignment.
- FINALIZE: Run QA review and coordinate remediation.
Transitions
- If task is simple, route to one specialist.
- If user wants automated execution, use orchestrator.
- If QA finds CRITICAL issues, re-spawn responsible agents.
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.
- today Changed fd4982a01b0c
- 3d ago Changed f8f2c2966171
- 10d ago First seen · 168 lines · 36 tokens per session scan A bd5f413f067c
oma-coordination is a skill published in the GitHub repository first-fluke/oh-my-agent (1,278 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 1,445 once invoked, about $0.0002 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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