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-translatorgit 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-translator)<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-translator"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-translator/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-translator"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-translator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00052 | $0.04820 |
| Opus 5 | $0.00026 | $0.02410 |
| Sonnet 5 | $0.00010 | $0.00964 |
| Haiku 4.5 | $0.00005 | $0.00482 |
Grade A, and why
oma-translator 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 11d 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.
This is a copy
86% identical to oma-translation — 497 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 431 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Translator - Context-Aware Translation
Scheduling
Goal
Translate, review, or adapt multilingual content while preserving meaning, register, placeholders, structure, domain terminology, and natural target-language word order.
Intent signature
- User asks to translate, localize, review translation quality, create a glossary, or adapt UI/docs/marketing copy.
- User needs context-aware translation rather than mechanical word substitution.
When to use
- Translating UI strings, error messages, or microcopy
- Translating documentation, README, or guides
- Translating marketing copy or landing pages
- Reviewing existing translations for naturalness
- Creating glossaries or translation style guides
- Any task involving multilingual content
When NOT to use
- i18n infrastructure setup (key extraction, routing, build) -> use dev-workflow
- Adding new locale to framework config -> use dev-workflow
- Code-level l10n patterns (date formatting, pluralization API) -> use relevant agent
Expected inputs
- Source text, target language, and optional locale or audience
- Existing locale files, glossary, code context, or style constraints
- Placeholder syntax, formatting constraints, and output mode
Expected outputs
- Natural target-language translation or review findings
- Preserved placeholders, code spans, links, headings, lists, and file structure
- Translator notes when source concepts need explanation
- Batch-safe output for i18n files when requested
Dependencies
- Existing translations and surrounding code for register and terminology
resources/translation-rubric.mdandresources/anti-ai-patterns.md- Project locale files when translating UI strings
Control-flow features
- Branches by content type, target language, batch size, register uncertainty, and placeholder/structure requirements
- Reads locale files and source context; may write translated content only when explicitly editing files
- Blocks output until mechanical verification passes
What ships with it
2 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.
- 11d ago First seen · 431 lines · 52 tokens per session scan A 67c164f3874f
oma-translator is a skill published in the GitHub repository first-fluke/oh-my-agent (1,283 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 4,820 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to oma-translation, differing in 497 lines, and is treated as a copy.
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