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-agent-boardgit 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-agent-board)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-agent-board"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-agent-board/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-agent-board"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-agent-board.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 | $0.00069 | $0.01801 |
| Opus 5.5 | $0.00028 | $0.00720 |
| Sonnet 5.5 | $0.00014 | $0.00360 |
| Haiku 4.5 | $0.00007 | $0.00180 |
Grade A, and why
omh-agent-board 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Board
This is a Hermes-native agent-board workflow skill.
Why This Exists
agent-board exists so Hermes users can ask for this workflow in chat and get a structured, checkable answer instead of an improvised one.
Do Not Use When
- The request is already handled by a narrower explicit skill with stronger evidence.
- The user asks OMH to secretly run external platforms, connectors, schedulers, file exports, or runtime agents.
- The only safe answer is to ask for missing authority, credentials, target, or observed evidence first.
- A multi-lane implementation of an accepted plan is ultrawork, which prepares its durable lanes through this board.
- The turn is a Kanban worker that the review dispatcher started on a review-lane task to verify a review-requested handoff; that worker loads Hermes' bundled
sdlc-reviewskill, not this one.
Examples
Good example:
- Prompt: agent-board coordinate PM, CTO, QA, and release agents on this launch checklist.
- Expected behavior: Produce
prepare_agent_board_cardwith required context, wrapper actions, and not-evidence boundaries. - Why: The prompt names a real workflow surface that Hermes can orchestrate without hiding execution.
Bad example:
- Prompt: agent-board mark the other agent complete without an observed heartbeat or result.
- Expected behavior: Report the missing observed evidence or authority instead of claiming the external step happened.
- Why: Prepared OMH guidance is not platform, runtime, connector, file, memory, or delivery evidence.
Completion Checklist
- Choose the coordination from the request:
durable(restart survival, cross-profile pickup) prepares akanban_*action on the named board;bounded_researchprepares onedelegate_taskaction. Never substitute one route for the other when its surface is missing. - Call
omh_agent_boardprepare, then invoke the returnednative_actionthrough the normal Hermes tool loop; OMH never calls a native tool itself and grants no host permission. - Report the request state exactly:
prepared,unavailable(namedmissing_capabilities, zero native calls),denied,observed, orfailed. Acompletereceipt implies no review approval, CI, or merge; arunningreadback is a claim, not dispatch proof. - Agent/operator reference: docs/AGENT-BOARD.md; wrapper actions example: examples/agent-board/native-actions.json.
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 6058590dc162
- 12d ago Changed 0353e10df217
- 13d ago Changed · +4 lines f3b888328d10
- 26d ago Changed 060da7386d85
- 1mo ago Changed · +2 tokens per session 662fe7156fd6
- 1mo ago Changed · +1 lines b46a4871c2d3
- 1mo ago Changed · +1 lines ff562b576be4
- 1mo ago Changed 367fac7f839e
- 1mo ago Changed 6bce4fa3b181
- 1mo ago First seen · 124 lines · 67 tokens per session scan A 929c5bbc4ec5
omh-agent-board is a skill published in the GitHub repository rlaope/oh-my-hermes (4,314 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 1,801 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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