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-support-operationsgit 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-support-operations)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-support-operations"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-support-operations/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-support-operations"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-support-operations.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 | $0.01280 |
| Opus 5 | $0.00032 | $0.00640 |
| Sonnet 5 | $0.00013 | $0.00256 |
| Haiku 4.5 | $0.00006 | $0.00128 |
Grade A, and why
omh-support-operations 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Support Operations
This is a Hermes-native support-operations workflow skill.
Why This Exists
support-operations turns a bounded customer case into response and escalation guidance without treating drafts or recommendations as helpdesk actions.
Do Not Use When
- The request clusters a backlog of customer signals to find product patterns or roadmap candidates; use
feedback-triage. - The user only needs a generic, non-support marketing or email rewrite with no case, severity, or escalation context; use
content-operator. - The request asks to send a reply, change ticket priority or status, issue a refund, modify an account, or update a helpdesk; use
connector-operatorwith an explicit target and observed result. - The request is an active reliability incident or postmortem rather than a support-case response; use
reliability-review.
Examples
Good example:
- Prompt: Draft a calm reply for this login-outage customer and tell me whether it needs an engineering escalation.
- Expected behavior: Prepare a customer-safe reply, severity matrix, engineering escalation recommendation, and owner handoff.
- Why: The request is one support case with reply and escalation decisions, not a feedback backlog or ticket mutation.
Bad example:
- Prompt: Cluster last quarter's support feedback into roadmap opportunities.
- Expected behavior: Route to
feedback-triage, notsupport-operations. - Why: A historical signal backlog needs product-pattern triage rather than case-level support guidance.
Completion Checklist
- The source boundary, signal clusters, severity, and follow-up lane are named.
- Bug, feature, research, strategy, and coding handoff outcomes stay separate.
- The next workflow is recommended before any implementation claim.
Recovery Notes
- If feedback lacks source or severity, ask for the missing signal before coding handoff.
- If the item is actually a plan or research request, route to that workflow instead of triage.
Workflow Lane
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 b170211d791f
- 7d ago Changed 668c8132d502
- 9d ago First seen · 132 lines · 63 tokens per session scan A 79641f2c5e25
omh-support-operations is a skill published in the GitHub repository rlaope/oh-my-hermes (1,716 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 1,280 once invoked, about $0.0003 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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