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-decidegit 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-decide)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-decide"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-decide/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-decide"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-decide.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 | $0.01180 |
| Opus 5 | $0.00028 | $0.00590 |
| Sonnet 5 | $0.00011 | $0.00236 |
| Haiku 4.5 | $0.00006 | $0.00118 |
Grade A, and why
omh-decide 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 3d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy Brief
This is a Hermes-native strategy-brief workflow skill.
Why This Exists
strategy-brief exists to keep strategy work explicit, evidence-backed, and inside the Hermes/executor boundary instead of relying on ad hoc chat narration.
Do Not Use When
- The strategic question is whether an early idea's customer problem and segment are real, and no validated discovery receipt exists yet; use
product-discovery-validation.
Examples
Good example:
- Prompt: strategy-brief: decide whether our onboarding should prioritize solo founders or enterprise buyers.
- Expected behavior: Frame options, tradeoffs, assumptions, rejected paths, and the decision evidence needed.
- Why: The request is strategy-shaped and should not jump directly into implementation.
Bad example:
- Prompt: strategy-brief: treat casual chat or unaccepted work as if this workflow already produced verified results.
- Expected behavior: Ask a clarification question or route to a narrower workflow instead of forcing
strategy-brief. - Why: The request lacks the required inputs or would overclaim work that Hermes did not observe.
Completion Checklist
- The decision, options, tradeoffs, assumptions, and rejected alternatives are named.
- Observed signals are separated from strategic inference.
- Accepted decisions and implementation follow-ups are not conflated.
Recovery Notes
- If evidence is mostly assumption, label it and recommend a research or feedback-triage pass.
- If the decision owner is missing, keep the output as options rather than accepted strategy.
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.
- 3d ago Changed · -1 lines 8a3122bd46ee
- 6d ago Changed 802e5042df53
- 7d ago Changed · +4 lines 4d87a3ad523f
- 11d ago First seen · 121 lines · 57 tokens per session scan A b5982dbfd64b
omh-decide is a skill published in the GitHub repository rlaope/oh-my-hermes (1,648 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 1,180 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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