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-people-opsgit 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-people-ops)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-people-ops"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-people-ops/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-people-ops"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-people-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to critical
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- critical Prompt Injection · line 115 This content may contain harmful instructions that could cause physical harm if followed. CRITICAL: Review carefully before use.Fix: Remove all content that could lead to harmful outcomes. Add safety guardrails and human oversight for any high-risk operations.
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 | $0.00060 | $0.01233 |
| Opus 5 | $0.00030 | $0.00616 |
| Sonnet 5 | $0.00012 | $0.00247 |
| Haiku 4.5 | $0.00006 | $0.00123 |
Grade A, and why
omh-people-ops 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
People Ops
This is a Hermes-native people-ops workflow skill.
Why This Exists
people-ops keeps recruiting and people-process guidance fair, structured, and evidence bounded before any human decision or external HR action.
Do Not Use When
- The request asks for a jurisdiction-specific employment-law conclusion, policy compliance ruling, or contract interpretation; use
legal-compliance-review. - The user only needs a one-off job-ad, rejection, or interview-email rewrite; use
content-operator. - The user asks to create ATS records, send invitations, book interviews, change employment status, or modify HRIS settings; use
connector-operatorwith explicit authorization and observed results. - The prompt asks the workflow to make an unsupported candidate decision from protected characteristics or missing interview evidence; retain the process and evidence gap instead.
Examples
Good example:
- Prompt: Create an interview scorecard and debrief plan for our first senior support hire.
- Expected behavior: Prepare role criteria, a structured scorecard, a debrief template, and decision-owner plan.
- Why: The request needs a fair hiring-process brief, not a claim that a candidate was evaluated or hired.
Bad example:
- Prompt: Send calendar invitations to every candidate for next Tuesday.
- Expected behavior: Route to
connector-operator, notpeople-ops. - Why: Sending invitations is an explicit external calendar action.
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: 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 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 6efc70a51c98
- 7d ago Changed 8c173b3b39ee
- 9d ago First seen · 126 lines · 60 tokens per session scan A 8b83de3e235b
omh-people-ops is a skill published in the GitHub repository rlaope/oh-my-hermes (1,677 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 1,233 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 2026-09-03.
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configuration
Use when a Project Agent reads or changes managed presets, game modules, automations, Skills, or Agent profiles through configread and configapply.
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