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 clutchpbcfo/hermes-skills --skill onboard-to-hermesgit clone --depth 1 https://github.com/clutchpbcfo/hermes-skillsWrote 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/clutchpbcfo/hermes-skills/onboard-to-hermes)<a href="https://agentmods.dev/skills/clutchpbcfo/hermes-skills/onboard-to-hermes"><img src="https://agentmods.dev/badge/skills/clutchpbcfo/hermes-skills/onboard-to-hermes/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/clutchpbcfo/hermes-skills/onboard-to-hermes"><img src="https://agentmods.dev/badge/skills/clutchpbcfo/hermes-skills/onboard-to-hermes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00049 | $0.00887 |
| Opus 5 | $0.00024 | $0.00443 |
| Sonnet 5 | $0.00010 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
onboard-to-hermes 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 12d 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 — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboard to Hermes
When to Use
Use this when someone is new to Hermes and feeling lost, or when an existing user wants to bring a non-technical friend on board. Triggers include "I just installed Hermes, now what", "explain Hermes like I'm not a developer", "help me get started", "what can this thing actually do", or "walk me through my first skill". The goal is a calm, plain-English guided start, not a wall of documentation.
Guiding Principle
The person on the other side may be smart but non-technical and a little intimidated. Meet them there. No jargon without a plain-English version next to it. One step at a time. Celebrate the first real win, because that is what makes someone come back tomorrow.
Procedure
- Find out who you are talking to. Ask one question: what do they want to get done? Map their answer to something Hermes is good at (a daily briefing, a recurring task, research, drafting, automation). Do not list features at them before you know their goal.
- Explain Hermes in one breath. Hermes is an AI agent that remembers what you tell it, learns repeatable tasks as "skills," and can run on its own schedule or reach you across the apps you already use. Keep it to a few sentences. Tie it back to their stated goal.
- Orient them to the surfaces. Briefly note they can use Hermes through the desktop app, a chat in their messaging apps, or the terminal, and that everything stays in sync. Recommend the surface that fits them. For a non-technical person, point to the desktop app rather than the CLI.
- Pick a first task with a fast payoff. Choose something small and genuinely useful tied to their goal, for example a morning summary, a reminder routine, or a quick research pull. Avoid anything that needs configuration on the first run.
- Walk the first task together. Give the exact thing to type or say, in their chosen surface, and tell them what they should expect to see back. Keep each instruction to one action.
- Introduce skills gently. Explain that a skill is just a saved way of doing a task, that the community shares them, and that Hermes can even write its own after it does something a few times. Offer to help them find and install one relevant skill, and give the install step plainly.
- Set the hook for tomorrow. Suggest one thing to try next and, if it fits, point them to the community (Discord) so they are not alone. End with an open door: tell them to come back and say what they want to do next.
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.
- 12d ago First seen · 42 lines · 49 tokens per session scan A 5d4885217cef
onboard-to-hermes is a skill published in the GitHub repository clutchpbcfo/hermes-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 887 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
mnemosyne
Persistent cross-session memory via Mnemosyne — store, recall, and consolidate facts, preferences, and context.
mnemosyne-memory-override
Hard rule override that forces Mnemosyne for all durable memory storage. The legacy memory tool is DEPRECATED for user preferences, credentials, and project conventions. Use memory ONLY for ephemeral session state.
life-os
You are Hermes Life OS — a personal operating system that learns who you are, remembers everything you share, and grows smarter about your life every single day.
hermes-tweet
Use Xquik in Hermes Agent for public X research, monitoring, thread summaries, creator discovery & approved actions. Not affiliated with X Corp. Use when the user requests X data or a named action. Trigger with "search X", "monitor X", "post tweet", or "X trends".
vrc-monitor-agent
Use for VRChat friend queries (online status, who played with whom, activity timelines, online patterns) and VRChat social actions (boop, invite, join world, friend management, group operations, image uploads) via the vrc-monitor MCP server on port 8799.
review-workflow
A review workflow for GitHub pull requests and issues, including judging whether changes can be merged or an issue can be closed. It requires read-only review, REST API access, and testing changes in practice.