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 | $0.00074 | $0.01421 |
| Opus 5 | $0.00037 | $0.00711 |
| Sonnet 5 | $0.00015 | $0.00284 |
| Haiku 4.5 | $0.00007 | $0.00142 |
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 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codebase Onboarding
This is a Hermes-native codebase-onboarding workflow skill.
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
ultraworkoridea-to-deploy. - The user needs a whole-workspace capability inventory; use
workspace-audit. - The user wants a code diff review; use
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.
Workflow Lane
- Current lane: Intent -> plan (
oh-my-hermes,meta-router,deep-interview,context,plan,ralplan,adversarial-consensus,codebase-onboarding,+9 more) - clarify, plan, ship, or loop goals. - If intent belongs to another lane, hand back to
oh-my-hermesor name the adjacent workflow. - Shared product, routing, compatibility, and evidence rules:
omh-routing/references/skill-common-rail.md.
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 ad50a185e1cc
- 5d ago Changed bec0f2d2f1fb
- 9d 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 (1,582 stars, last pushed today), licensed MIT. It adds 74 tokens to every session and 1,421 once invoked, about $0.0004 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.
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