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-workspace-auditgit 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-workspace-audit)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-workspace-audit"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-workspace-audit/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-workspace-audit"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-workspace-audit.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 | $0.00073 | $0.01384 |
| Opus 5 | $0.00036 | $0.00692 |
| Sonnet 5 | $0.00015 | $0.00277 |
| Haiku 4.5 | $0.00007 | $0.00138 |
Grade A, and why
omh-workspace-audit 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workspace Audit
This is a Hermes-native workspace-audit workflow skill.
Why This Exists
workspace-audit gives OMH an ECC-inspired but OMH-native front door for understanding a large agent workspace before strengthening it, without turning inventory into hidden mutation or runtime proof.
Do Not Use When
- The user already named a concrete implementation task with files and acceptance criteria; use the coding handoff or delivery workflow.
- The request is local OMH installation health only; use
doctor. - The request is a source acquisition or current web lookup; use
source-finderorresearch.
Examples
Good example:
- Prompt: workspace-audit OMH에 스킬/프롬프트/플러그인 표면이 어디 비어있는지 먼저 점검해줘.
- Expected behavior: Prepare workspace_audit_plan/v1, observed surface_inventory/v1, gap matrix, redacted config findings, and downstream workflow recommendation.
- Why: The user asks for repo/workspace capability strengthening based on observed local surfaces.
Bad example:
- Prompt: workspace-audit 발견한 config 파일을 바로 고치고 secret 값도 출력해줘.
- Expected behavior: Refuse secret disclosure, keep the audit read-only, and prepare a separate remediation handoff if needed.
- Why: Workspace audit is inventory and risk mapping, not unsafe config mutation or secret extraction.
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.
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 17354f7bcb59
- 9d ago First seen · 129 lines · 73 tokens per session scan A 63bebf1ac9b2
omh-workspace-audit is a skill published in the GitHub repository rlaope/oh-my-hermes (1,677 stars, last pushed today), licensed MIT. It adds 73 tokens to every session and 1,384 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.
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