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Hermes Plugin Evaluation

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AtlasOmnia
hermes-plugin-evaluation

hermes-plugin-evaluation — Evaluate third-party Hermes Agent plugins before installation: cost, licensing, required services, data flow, dependencies, and setup risk.

Overview

PublisherAtlasOmnia
Repositorydonna-starter
Skill namehermes-plugin-evaluation
Stars
131
Forks
9
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AtlasOmnia on GitHub. Read the source before you install it.

Installation

Install the Hermes Plugin Evaluation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AtlasOmnia/donna-starter/tree/main/skills/autonomous-ai-agents/hermes-plugin-evaluation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AtlasOmnia/donna-starter.git /tmp/donna-starter
mkdir -p .claude/skills
cp -r /tmp/donna-starter/skills/autonomous-ai-agents/hermes-plugin-evaluation .claude/skills/hermes-plugin-evaluation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hermes Plugin Evaluation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hermes Plugin Evaluation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hermes Plugin Evaluation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Hermes Plugin Evaluation

Use this when the user asks about installing, trusting, pricing, or using a third-party Hermes Agent plugin or integration.

Goal

Give a practical go/no-go read before touching the live Hermes gateway. Separate:

  • Plugin code cost/license — whether the repository itself is public/open-source/free to install.
  • Service cost — required SaaS account, usage billing, phone/SMS/voice costs, model API costs, tunnels, hosted routing, or paid feature gates.
  • Operational risk — what data leaves Hermes, whether the plugin opens public webhooks/tunnels, and whether it modifies gateway behavior.

Fast evaluation workflow

  1. Load authoritative Hermes context first when the task involves Hermes plugins:
  • Load hermes-agent if available.
  • Prefer official Hermes docs for CLI syntax and plugin lifecycle.
  1. Inspect the repository without installing it:
  • README / docs
  • plugin.yaml
  • pyproject.toml, package.json, lockfiles
  • LICENSE, NOTICE, or equivalent
  • setup wizard files and after-install notes
  • tool definitions, platform adapter files, webhook/tunnel code
  1. Answer cost precisely:
  • Say “plugin appears free/public” only for the repo/installable code.
  • Do not infer the hosted service is free just because the plugin is public.
  • Identify paid dependencies: phone numbers, SMS/MMS, voice minutes, hosted tunnels, OpenAI/Anthropic/etc. APIs, storage, or managed accounts.
  1. Check for a public pricing page, but treat absence as unknown, not free:
  • If pricing is missing/404/gated, say “pricing not publicly obvious; confirm with vendor.”
  1. Report required credentials and data paths:
  • Required env vars/API keys.
  • Optional credentials that change cost or data flow.
  • Whether inbound messages/calls pass through vendor infrastructure.
  1. Recommend a safe rollout:
  • Test in a non-critical Hermes profile or disabled gateway first.
  • Avoid putting it on the main gateway until pricing, credentials, and data flow are understood.
  • Run plugin-specific doctor/diagnostics before enabling public channels.

Response shape the user prefers

Keep it concise and decisive:

  • Short answer first: free, paid, mixed, or unclear.
  • What I verified as bullets.
  • Cost implication as bullets.
  • Recommended next step if installation/security matters.

Avoid broad explanations of Hermes unless he asks. He usually wants the practical answer.

Pitfalls

  • Public repo ≠ free service. Many plugins are just glue to a paid platform.
  • No LICENSE file means unclear license, even if GitHub visibility is public.
  • Phone/SMS/voice are rarely free at scale. Assume carrier/service costs unless docs explicitly say otherwise.
  • Hosted tunnels/webhooks imply external data flow. Flag this before installation.
  • Do not install first just to answer pricing/trust questions. Inspect first, then ask/confirm before side effects.

Frequently asked questions

What does the Hermes Plugin Evaluation AI skill do?

hermes-plugin-evaluation — Evaluate third-party Hermes Agent plugins before installation: cost, licensing, required services, data flow, dependencies, and setup risk.

Why use Hermes Plugin Evaluation on TypingMind?

Because you install it once and use it with any model. Hermes Plugin Evaluation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hermes Plugin Evaluation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AtlasOmnia/donna-starter/tree/main/skills/autonomous-ai-agents/hermes-plugin-evaluation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hermes Plugin Evaluation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hermes Plugin Evaluation?

As many as you like. As long as a model supports skills, you can use Hermes Plugin Evaluation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hermes Plugin Evaluation AI skill free?

Yes. It is published on GitHub by AtlasOmnia under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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