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-codebase-onboardinggit 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-codebase-onboarding)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-codebase-onboarding"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-codebase-onboarding/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-codebase-onboarding"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-codebase-onboarding.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 | $0.00076 | $0.01364 |
| Opus 5.5 | $0.00030 | $0.00546 |
| Sonnet 5.5 | $0.00015 | $0.00273 |
| Haiku 4.5 | $0.00008 | $0.00136 |
Grade A, and why
omh-codebase-onboarding 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 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.
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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codebase Onboarding
This is an OMH codebase-onboarding workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
Why This Exists
codebase-onboarding adapts ECC's code-tour and onboarding surfaces into an OMH-native first-read workflow so unfamiliar repos become navigable before implementation pressure starts.
Do Not Use When
- The user already named a concrete implementation task and acceptance criteria; use
ulw-workoromh-idea-to-deploy. - The user needs a whole-workspace capability inventory; use
omh-workspace-audit. - The user wants a code diff review; use
omh-code-review.
Examples
Good example:
- Prompt: codebase-onboarding 처음 보는 레포라서 구조, 주요 모듈, 테스트, 첫 작업 후보를 잡아줘.
- Expected behavior: Prepare repo_map/v1, reading_path/v1, domain_glossary/v1, risk map, and first_task_runway/v1 from observed files.
- Why: The request is repo orientation before implementation.
Bad example:
- Prompt: codebase-onboarding 파일 안 읽고 이 레포 아키텍처를 확정해줘.
- Expected behavior: Mark architecture as unobserved and inspect source evidence before making claims.
- Why: Onboarding is only useful when grounded in current repo evidence.
Completion Checklist
- The plan names goals, non-goals, assumptions, acceptance criteria, and verification shape.
- Draft recommendations, accepted decisions, and executor handoffs are separate states.
- Rejected options or unresolved tradeoffs are recorded before handoff.
Recovery Notes
- If acceptance criteria or verification are missing, route back to clarification before handoff.
- If assumptions materially affect the plan, keep them visible and avoid treating the plan as accepted.
When to Use
Use when Hermes should help an operator or coding executor understand an unfamiliar repository before planning implementation.
Strong routing signals: `codebase-onboarding`, `codebase onboarding`, `repo onboarding`, `repository onboarding`, `codebase tour`, `code tour`, `new repo orientation`, `understand this repo`, `how this repo works`, `first task runway`, `개발자 온보딩`, `레포 온보딩`, `코드베이스 온보딩`, `처음 보는 레포`, `레포 구조 설명`
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 · +1 lines 84e9000a201f
- 11d ago Changed · +1 lines 2ee3e97e5113
- 24d ago Changed · +3 lines 109fa2086983
- 29d ago Changed · +2 tokens per session ae5e53abdfc7
- 1mo ago Changed · +6 lines 5518df4ea487
- 1mo ago Changed · -15 lines fbd6a4c190ea
- 1mo ago Changed ad50a185e1cc
- 1mo ago Changed bec0f2d2f1fb
- 1mo ago First seen · 134 lines · 74 tokens per session scan A ced8f583f750
omh-codebase-onboarding is a skill published in the GitHub repository rlaope/oh-my-hermes (3,912 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 1,364 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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