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 model-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/model-onboarding)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/model-onboarding"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/model-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/model-onboarding"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/model-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 | $0.00107 | $0.00661 |
| Opus 5 | $0.00053 | $0.00331 |
| Sonnet 5 | $0.00021 | $0.00132 |
| Haiku 4.5 | $0.00011 | $0.00066 |
Grade A, and why
model-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 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.
What it actually says
Model onboarding
The procedure lives in docs/MODEL-ONBOARDING.md.
Read that file and follow it in order.
It is kept there rather than here because Codex, Hermes handoffs, and generic
executor profiles run the same loop, and AGENTS.md requires that no single
executor own a shared surface. This file exists so the loop is reachable as
/model-onboarding; it holds no rules of its own.
Start by reading, in this order:
cat docs/MODEL-ONBOARDING.md
cat MODEL_OPTI.md
Six things the loop gets wrong most often:
- Recognition before research. Probe every served id and every bare chat
name with
omh coding model-routefirst; amodel_familyofunknownmeans the calibration never attaches. - Chains move as a set. The Hermes-lane table, its plugin mirror, the
Maestro-lane table, the
model-setupskill text, seven public doc surfaces, the release budget note, and the pinned-chain tests all name the old id; grep for it and move every site in the same commit. - Machine config stays provider-neutral. Chains name aliases; the
provider row is a separate concern in
model-providers.json. Place the id withomh model-chains set, never by hand-editing the JSON, and let the older generation stay behind it as fall-through. - Served is not released. Prove the route with one
hermes --oneshotcall and read the usage file (model,provider,cost_status) before any measurement or placement; gateways want the vendor-prefixed id. - The override is measured against the block it replaced, on cost. Run the
familyarm next tobaselineandoptimized; expect pass rate to tie and read the paired token delta, tool calls, and turns. Same pass with more tokens on the tasks it fails is a sentence that pushes — cut it. - A routing signal is only as good as the tier's chain head. Measure the head on the request class it will receive before shipping the signal, and name the head in every routing claim.
Arguments pass through verbatim: the model ids as served (for example
claude-fable-5-1 claude-mythos-5-1).
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 · +10 lines 43ef6be29151
- 7d ago First seen · 47 lines · 107 tokens per session scan A 29415a32faea
model-onboarding is a skill published in the GitHub repository rlaope/oh-my-hermes (1,648 stars, last pushed today), licensed MIT. It adds 107 tokens to every session and 661 once invoked, about $0.0005 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 2026-09-03.
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