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-slidegit 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-slide)<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-slide"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-slide/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-slide"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-slide.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 YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high Prompt Injection · line 51 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Prompt Injection · line 133 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Prompt Injection · line 53 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Prompt Injection · line 135 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00035 | $0.03401 |
| Opus 5.5 | $0.00014 | $0.01360 |
| Sonnet 5.5 | $0.00007 | $0.00680 |
| Haiku 4.5 | $0.00003 | $0.00340 |
Grade C, and why
oma-slide scanned grade C with 1 finding 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 2d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- oma-docs:ignore-start --> Copies of this mod
1 near-identical copy found in the catalogue:
- oma-slide — 100% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slide Agent — Animation-Rich HTML Deck Generator
Scheduling
Goal
Generate distinctive, anti-"AI slop" HTML presentation decks authored at a fixed 1920×1080 stage,
validate geometry deterministically via the oma slide CLI, and deliver self-contained bundles
exportable to PDF, PNG, and PPTX.
Intent signature
- User asks to create a slide deck, presentation, keynote, or series of slides.
- User provides a topic, outline,
.pptxto import, or existing deck to enhance. - User mentions slide, deck, pptx, keynote, 슬라이드, 발표자료, プレゼン, 幻灯片, 演示文稿.
- User mentions Canva, canva export, canva import, 캔바, キャンバ.
- Another skill needs a visual output artifact (e.g., a research result delivered as a deck).
When to use
- Creating a new presentation from a topic or outline
- Enhancing or reformatting an existing deck
- Generating per-slide HTML with animations and design-doctrine aesthetics
- Exporting a deck to PDF, PNG, or image-backed PPTX after generation
- Applying a named style preset or bold template to a deck
- Exporting a generated deck to Canva as a presentation
- Importing a Canva design as input for enhancement
When NOT to use
- Plain document creation (no slides needed) → use oma-backend or direct output
- Image generation alone → use oma-image directly
- Brand/design-system definition → defer to oma-design
- Deterministic CLI ops (validate/bundle/export) without generation → call
oma slideCLI directly - Long-form scrolling code-change explainer document → use oma-explanation (deck is a fixed 1920×1080 stage)
Expected inputs
- Topic, title, or outline (text or markdown)
- Optional:
.pptxfile to import (oma slide import pptx) - Optional: user-provided images/video in
./assets/ - Optional: slide count, density preference (sparse/balanced/dense), target audience
- Optional: named style preset or
oma slide style get <slug>reference - Optional: Canva design ID or URL for import
- Optional: acknowledgement that exported PPTX and Canva uploads are raster-backed when editable text is not required
What ships with it
11 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.
- resources/animation-patterns.md 6.9 KB
- resources/assets/deck-stage.js 17 KB runs code
- resources/assets/viewport-base.css 7.6 KB
- resources/canva-integration.md 9.6 KB
- resources/checklist.md 1.6 KB
- resources/design-doctrine.md 11 KB
- resources/fixed-stage.md 8.3 KB
- resources/generation-protocol.md 18 KB
- resources/selection-index.json 25 KB
- resources/style-presets.LICENSE 623 B
- resources/style-presets.md 14 KB
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.
- 2d ago Changed 7c7342f6523d
- 20d ago Changed ba390d7200fd
- 25d ago Changed 025416810a31
- 1mo ago Changed · -48 lines · -75 tokens per session cf6eb7d8d925
- 1mo ago Changed c993537158b3
- 1mo ago Changed 87399f64d037
- 2mo ago First seen · 299 lines · 110 tokens per session scan C 557d9c0f0666
oma-slide is a skill published in the GitHub repository first-fluke/oh-my-agent (1,355 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 3,401 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
A set of instructions for working with PDF files, which are documents designed to preserve their layout across devices.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
pandic-office
Convert Markdown to PDF (or DOCX/EPUB/HTML) using the pandoc CLI. Use when asked to produce a PDF report, brief, summary, or any document where the input is Markdown and the output should be a polished, paginated file.
dex-obsidian-setup
Turn on Obsidian mode and migrate the vault to wiki links. Use when the user says 'I use Obsidian', 'enable wiki links', 'make this work in Obsidian'. Not for connecting an external tool/API; use create-mcp/integrate-mcp.
summarize-transcript
Analyze and summarize a transcript, meeting notes, or discussion thread into a clear actionable document.
add-template
Scaffold a new document template inside an existing addon or framework.