oh-my-hermes is an operating layer for Hermes Agent that organizes requests into workflows for planning, research, creation, coding handoffs, operations, and project memory. Hermes users run these workflows through the desktop app, CLI, or messenger app, while the catalogue add-ons extend its native capabilities.
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 rlaope/oh-my-hermes --skill omh-localization-reviewgit clone --depth 1 https://github.com/rlaope/oh-my-hermesWrote 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/rlaope/oh-my-hermes/omh-localization-review)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-localization-review"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-localization-review/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/rlaope/oh-my-hermes/omh-localization-review"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-localization-review.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 | $0.00063 | $0.01184 |
| Opus 5.5 | $0.00025 | $0.00474 |
| Sonnet 5.5 | $0.00013 | $0.00237 |
| Haiku 4.5 | $0.00006 | $0.00118 |
Grade A, and why
omh-localization-review 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 4d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Localization Review
This is an OMH localization-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
Why This Exists
localization-review makes terminology, context, cultural fit, and locale QA reviewable without treating a drafted translation as a published or visually validated release.
Do Not Use When
- The request is a short sentence or word translation or rewrite with no product or locale QA context; answer directly or use
omh-content-operator. - The user needs fresh rendered UI evidence, clipping checks, or a visual PASS/REVISE/BLOCK verdict; use
omh-visual-qa. - The user asks to edit locale files, push a translation-management-system job, publish strings, or configure localization settings; use
omh-filesoromh-appswith explicit target and authority. - The request asks for a regulatory or contractual conclusion about translated legal text; use
omh-legal-compliance-review.
Examples
Good example:
- Prompt: Review our Korean checkout strings for terminology consistency, cultural fit, and context gaps before launch.
- Expected behavior: Prepare the locale and source-version brief, glossary choices, issue matrix, and locale QA criteria.
- Why: The product-release context needs localization review beyond a one-off translation.
Bad example:
- Prompt: Translate 'Your trial ends tomorrow' into Korean.
- Expected behavior: Answer directly or route to
content-operator, notlocalization-review. - Why: A one-off sentence has no product locale QA or release-review objective.
Completion Checklist
- Findings or no-issue results are grounded in concrete file, artifact, command, or source evidence.
- Open questions, residual risk, and missing verification are named.
- Fixes or follow-up work are separate handoffs unless the user explicitly asked to implement them.
Recovery Notes
- If the reviewed target is missing, inspect the requested artifact or ask one target question.
- If independent verification is unavailable, report the gap and avoid an approval-style claim.
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.
- 4d ago Changed · +1 lines 7a96bc554132
- 13d ago Changed · +1 lines 4b8bd3dddca5
- 26d ago Changed · +3 lines 28af9199ea87
- 1mo ago Changed · +7 tokens per session 8a64d40c4411
- 1mo ago Changed · +6 lines 045d53ee5c96
- 1mo ago Changed · -11 lines b34b22c357d1
- 1mo ago Changed 98e433e1d6d3
- 1mo ago Changed c32ec2966331
- 1mo ago First seen · 126 lines · 56 tokens per session scan A 622c439eb339
omh-localization-review is a skill published in the GitHub repository rlaope/oh-my-hermes (4,314 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 1,184 once invoked, about $0.0003 per session on Opus 5.5. 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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