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-imagegit 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-image)<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-image"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-image/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-image"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-image.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 | $0.00090 | $0.04211 |
| Opus 5 | $0.00045 | $0.02106 |
| Sonnet 5 | $0.00018 | $0.00842 |
| Haiku 4.5 | $0.00009 | $0.00421 |
Grade A, and why
oma-image 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.
How it starts
The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Agent - Multi-Vendor Image Router
Scheduling
Goal
Generate images and visual assets through authenticated multi-vendor routing while preserving prompt clarity, reference-guided regeneration, cost controls, and reproducible output manifests.
Intent signature
- User asks to generate images, visual assets, illustrations, product photos, concept art, mockups, or AI art.
- Another skill needs shared image-generation infrastructure.
- User provides reference images for a new generated variation or asks for vendor comparison.
When to use
- Generating images, visual assets, illustrations, product photos, concept art
- Comparing output between multiple image models for the same prompt
- Producing images from prompts within editor workflows (Claude Code, Codex, Gemini CLI)
- Other skills needing image generation infrastructure (shared invocation)
- Regenerating a new image that follows a supplied reference's subject, style, lighting, or composition
When NOT to use
- Pixel-level editing, masking, inpainting, object removal, compositing, cropping, resizing, or format conversion -> out of scope; use an image editor or a tool that explicitly supports that operation.
- Generating videos or audio -> out of scope
- Inline vector art / SVG composition from structured data -> use a templating skill
- Simple asset resizing or format conversion -> use a dedicated image library
Expected inputs
- Image prompt or creative brief
- Optional vendor, size, quality, count, output directory, and reference images
- Authentication/environment state for Codex, Pollinations, or Gemini
Expected outputs
- Generated image files under
.agents/results/images/or requested output directory manifest.jsonwith prompt, vendor, model, and reproducibility metadata- Vendor comparison outputs when
--vendor allis used
Dependencies
oma image generateCLI and vendor authentication- Codex image generation, Pollinations API, or Gemini API/CLI strategy
resources/vendor-matrix.md,resources/prompt-tips.md, and theimage:section of.agents/oma-config.yaml
What ships with it
5 files 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.
- today Changed · +3 lines 6ca749ebb82a
- 3d ago Changed 222aba0e9b84
- 10d ago First seen · 283 lines · 90 tokens per session scan A 5239ab60860d
oma-image is a skill published in the GitHub repository first-fluke/oh-my-agent (1,278 stars, last pushed today), licensed MIT. It adds 90 tokens to every session and 4,211 once invoked, about $0.0005 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.
Other skills, from other repositories
scroll-video
Build the foundation of an Apple-style scroll-driven video website — extract frames from a video, render them on canvas, and bind playback to scroll progress with a circle-wipe hero reveal.
motion-animations
Use when building website animations, scroll effects, entrance reveals, layout transitions, gesture interactions, parallax, hero choreography, or any animated UI component. Auto-trigger on any website build or frontend feature that involves motion, transitions, or animated elements.
huggingface-lora-space-builder
Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other diffusion base models. Also triggers…
technical-basic
Core technical indicator collection (trend EMA/ADX + mean-reversion BB/RSI + volume-price OBV/volume ratio), generates a composite signal via three-dimensional voting. Pure pandas implementation for any OHLCV data.
qveris
Paid capability marketplace for global multi-asset data; use it when free Vibe-Trading sources lack coverage, depth, or provider quality, and keep free sources as the default for routine OHLCV.
seedance-antislop
This skill should be used when a Seedance 2.0 prompt contains generic AI filler, hollow superlatives, vague cinematic language, bloated adjectives, weak verbs, or needs sharper production-specific wording.