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-running-work-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-running-work-board)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-running-work-board"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-running-work-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-running-work-board"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-running-work-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 | $0.00083 | $0.01092 |
| Opus 5 | $0.00042 | $0.00546 |
| Sonnet 5 | $0.00017 | $0.00218 |
| Haiku 4.5 | $0.00008 | $0.00109 |
Grade A, and why
omh-running-work-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 7d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Running Work Board
This is a Hermes-native running-work-board workflow skill.
Why This Exists
running-work-board exists because multi-session coding work was invisible: the runtime was tracked but the model was dropped, token counts had no write site at all, and a blocking dispatch could not report that it was still running. The board answers which model on which runtime, or says unknown.
Do Not Use When
- The user wants to start, plan, or dispatch coding work rather than observe it.
- The user wants review, CI, or merge evidence, which a status board never provides.
- The user is asking about their own application's runtime status rather than OMH coding units.
Examples
Good example:
- Prompt: what is running right now
- Expected behavior: One line per unit: label, runtime, model, status, elapsed, tokens, with unknown printed where nothing was observed.
- Why: The request is about observed local coding activity, not about starting work.
Bad example:
- Prompt: is the deploy done and did CI pass
- Expected behavior: Route to verification or CI evidence instead of the activity board.
- Why: Observed activity is not result, review, CI, or merge evidence.
Completion Checklist
- Runtime and model are named per unit, or explicitly reported as unknown.
- Token counts and session references are observed values or the literal unknown, never estimates.
- Elapsed time for an unfinished unit comes from its start marker, which cannot prove the unit is still alive.
- The board is labelled observed activity, not result, verification, review, CI, or merge evidence.
Recovery Notes
- If no units are found, say so plainly rather than implying nothing ever ran.
- If a marker is stale because a process died, report it as observed-start-without-end instead of claiming the unit is running.
- If tokens are unknown for a runtime with no structured output, say the runtime does not report them.
Workflow Lane
- Current lane: Automation and status (
achievements,workspace-audit,production-audit,automation-blueprint,github-event-ops,github-issue-intake,buzz,agent-board,+35 more) - schedules, status, health, and ops review. - 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 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.
- 7d ago Changed b744c3c6646b
- 9d ago First seen · 118 lines · 83 tokens per session scan A 9d2349f70b61
omh-running-work-board is a skill published in the GitHub repository rlaope/oh-my-hermes (1,677 stars, last pushed today), licensed MIT. It adds 83 tokens to every session and 1,092 once invoked, about $0.0004 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.
Other skills, from other repositories
starting-a-new-project
Use when the workspace is empty — no code yet — and the user brings a raw idea: the brand-new branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for features in an existing project — use brainstorming instead.
configuration
Use when a Project Agent reads or changes managed presets, game modules, automations, Skills, or Agent profiles through configread and configapply.
incident-commander
Coordinate active incidents through severity assessment, roles, mitigation, communications, recovery verification, and postmortem handoff.
interview-system-designer
Design hiring interviews, competency matrices, question banks, scoring rubrics, and interviewer calibration for a specified role.
lark-task
A task-management skill for Lark, the collaboration platform, covering tasks, checklists, subtasks, assignments, attachments, and task-focused agents.
linear
A skill for managing Linear, a project-management tool for software teams, through its API. It works with issues, projects, teams, and collaboration data.