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-cto-loopgit 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-cto-loop)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-cto-loop"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-cto-loop/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-cto-loop"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-cto-loop.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 | $0.01184 |
| Opus 5.5 | $0.00030 | $0.00474 |
| Sonnet 5.5 | $0.00015 | $0.00237 |
| Haiku 4.5 | $0.00007 | $0.00118 |
Grade A, and why
omh-cto-loop 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cto Loop
This is an OMH cto-loop workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
Why This Exists
cto-loop exists to keep leadership work explicit, evidence-backed, and inside the Hermes/executor boundary instead of relying on ad hoc chat narration.
Do Not Use When
- The request is a settings-only change, one bounded edit that is explicitly low-risk and has a direct owner and verification path, or a direct answer/diagnosis; handle it directly or use
omh-decidefor a decision brief instead of starting a leadership operating loop.
Examples
Good example:
- Prompt: cto-loop: run the PM, dev, QA, security, and ops loop for this risky billing launch.
- Expected behavior: Prepare the CTO operating model with role responsibilities, gates, blockers, and status boundaries.
- Why: The request needs a leadership operating loop, not just a generic plan.
Bad example:
- Prompt: cto-loop: 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
cto-loop. - Why: The request lacks the required inputs or would overclaim work that Hermes did not observe.
Completion Checklist
- Confirm the workflow target, evidence boundary, and stop condition are named.
- Report which outputs are prepared, observed, blocked, or missing.
- Name the smallest next verification or handoff instead of claiming completion from narration.
Recovery Notes
- If required context is missing, ask one blocking question or route back to the narrower workflow.
- If runtime or wrapper evidence is unavailable, keep the status as not_observed and expose the next observable action.
When to Use
Use when Hermes should run a leadership-style operating loop that turns signals into roadmap decisions, technical tradeoffs, delivery risk, release readiness, and explicit follow-up handoffs.
Strong routing signals: `cto-loop`, `cto loop`, `cto`, `cto pm`, `pm dev qa security ops`, `roadmap technical tradeoffs`, `technical tradeoff`, `delivery risk`, `release readiness`, `technical leadership loop`, `leadership operating loop`, `engineering leadership`, `CTO 구조`, `PM 구조`, `로드맵`, `아키텍처 트레이드오프`, `기술 리더십`, `출시 준비`
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 · +1 lines db73f356ccdd
- 13d ago Changed · +1 lines 110d0aca3a68
- 26d ago Changed · +3 lines 6093861aebb8
- 1mo ago Changed · +2 tokens per session 0366350ce2f2
- 1mo ago Changed · +6 lines aad205ac9e48
- 1mo ago Changed · -11 lines 72467a1db871
- 1mo ago Changed 9a59b5e029d7
- 1mo ago First seen · 122 lines · 72 tokens per session scan A d7095cb9c654
omh-cto-loop is a skill published in the GitHub repository rlaope/oh-my-hermes (4,314 stars, last pushed today), licensed MIT. It adds 74 tokens to every session and 1,184 once invoked, about $0.0003 per session on Opus 5.5. 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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