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-curriculum-designgit 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-curriculum-design)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-curriculum-design"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-curriculum-design/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-curriculum-design"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-curriculum-design.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 | $0.00057 | $0.01227 |
| Opus 5 | $0.00028 | $0.00613 |
| Sonnet 5 | $0.00011 | $0.00245 |
| Haiku 4.5 | $0.00006 | $0.00123 |
Grade A, and why
omh-curriculum-design 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Curriculum Design
This is a Hermes-native curriculum-design workflow skill.
Why This Exists
curriculum-design makes outcomes, sequence, assessment, and constraints reviewable before materials or LMS work.
Do Not Use When
- The user wants an explanation of a supplied academic paper rather than a teachable sequence; use
paper-learning. - The user needs a deck, workbook, PDF, or other exported learning artifact; route packaging to
materials-packageafter the curriculum is accepted. - The user asks to create or publish an LMS course, enroll students, grade work, or change course settings; use
connector-operatorwith explicit authorization and observed evidence. - The user needs only a short rewrite or one isolated worksheet prompt, not curriculum structure; use
content-operator.
Examples
Good example:
- Prompt: Design a six-week onboarding curriculum with learning objectives and practical assessments for new support agents.
- Expected behavior: Prepare learner constraints, scope and sequence, learning objectives, assessments, and adaptation questions.
- Why: The request needs a teachable sequence and assessment plan rather than an LMS course or exported material.
Bad example:
- Prompt: Explain the attached machine-learning paper for a beginner.
- Expected behavior: Route to
paper-learning, notcurriculum-design. - Why: A supplied paper explanation is not a curriculum-design request.
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: Research and company ops (
product-docs,source-finder,web-research,research,best-practice-research,autoresearch-goal,model-optimization,inference-serving,+19 more) - research, signals, ops, and briefings. - 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 ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 e4eff53ebbbc
- 7d ago Changed 12114ea26ac8
- 9d ago Changed 5696c1540991
- 13d ago First seen · 128 lines · 57 tokens per session scan A a8f2aff93ac3
omh-curriculum-design is a skill published in the GitHub repository rlaope/oh-my-hermes (1,677 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 1,227 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 2026-08-30.
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