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 aivrar/portable-hermes-agent --skill hermes-agentgit clone --depth 1 https://github.com/aivrar/portable-hermes-agentWrote 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/aivrar/portable-hermes-agent/hermes-agent)<a href="https://agentmods.dev/skills/aivrar/portable-hermes-agent/hermes-agent"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/hermes-agent/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/aivrar/portable-hermes-agent/hermes-agent"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/hermes-agent.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 | $0.00018 | $0.03248 |
| Opus 5 | $0.00009 | $0.01624 |
| Sonnet 5 | $0.00004 | $0.00650 |
| Haiku 4.5 | $0.00002 | $0.00325 |
Grade C, and why
hermes-agent scanned grade C with 2 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 9d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Every shipped feature, one line each: https://hermes-agent.nousresearch.com/docs/llms.txt.** Start here for any "can Hermes do X?" or "how do I do X?" — it indexes the entire documentation set with a link to the page This is a copy
100% identical to hermes-agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hermes Agent
Hermes Agent is an open-source AI agent framework by Nous Research that runs in your terminal, a native desktop app, messaging platforms, and IDEs. It's in the same category as Claude Code (Anthropic), Codex (OpenAI), and OpenClaw — autonomous coding and task-execution agents that use tool calling to interact with your system. Hermes works with any LLM provider (OpenRouter, Anthropic, OpenAI, Google, DeepSeek, xAI, local models, and 20+ others) and runs on Linux, macOS, Windows, and WSL.
What makes Hermes different:
- Self-improving through skills — Hermes learns from experience by saving reusable procedures as skills that load into future sessions.
- Persistent memory across sessions — remembers who you are, your preferences, environment details, and lessons learned. Pluggable memory backends.
- Multi-platform gateway — the same agent runs on Telegram, Discord, Slack, WhatsApp, iMessage, Signal, Matrix, Teams, Email, and a dozen more platforms with full tool access, not just chat.
- Many surfaces — the same agent core drives the CLI, the Ink TUI, a native Electron desktop app, a web dashboard, and an ACP server for IDEs (VS Code / Zed / JetBrains).
- Provider-agnostic — swap models and providers mid-workflow; credential pools rotate across multiple API keys automatically.
- Profiles — run multiple independent Hermes instances with isolated configs, sessions, skills, and memory.
- Extensible & themeable — plugins, MCP servers, custom tools, webhook triggers, cron scheduling, skins that theme every surface, desktop UI plugins, TUI widgets, and pet mascots.
This skill is a hub. The body covers identity, quick start, spawning/orchestration, and hard invariants. Everything else lives in reference files — load the matching reference (below) before answering; do not answer detail questions from the body alone.
Docs: https://hermes-agent.nousresearch.com/docs/
Scope & Verification
This skill is a concise operating guide, not the complete source of truth for every Hermes feature. If a Hermes feature, command, or setting is not mentioned here or in a reference, do not treat that absence as evidence that it does not exist. Check the live repository and official docs before giving a negative answer.
What ships with it
21 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/background-systems.md 5.0 KB
- references/cli-reference.md 6.3 KB
- references/configuration.md 4.1 KB
- references/contributor-guide.md 6.4 KB
- references/delegate-task-concurrency-diagnosis.md 4.6 KB
- references/desktop-plugins.md 12 KB
- references/native-mcp.md 12 KB
- references/petdex.md 3.2 KB
- references/portal-auth-for-third-party-apps.md 6.4 KB
- references/project-context-files.md 3.2 KB
- references/providers-and-models.md 2.9 KB
- references/security-privacy.md 3.3 KB
- references/slash-commands.md 5.3 KB
- references/themes.md 6.7 KB
- references/troubleshooting.md 3.6 KB
- references/tui-widgets.md 6.3 KB
- references/webhooks.md 7.7 KB
- references/windows-quirks.md 2.4 KB
- templates/clock.mjs 1.4 KB runs code
- templates/plugin.js 3.1 KB runs code
- templates/skin.yaml 1.4 KB
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.
- 9d ago First seen · 214 lines · 18 tokens per session scan C a111466ce81c
hermes-agent is a skill published in the GitHub repository aivrar/portable-hermes-agent (218 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 3,248 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 100% identical to hermes-agent, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
hermes-memory-providers
Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.
mnemosyne
Persistent cross-session memory via Mnemosyne — store, recall, and consolidate facts, preferences, and context.
knowledge-base
Skill "knowledge-base" from Pinvou/pinvou-agent, covering ima knowledge base, operations, routing rules, examples and file upload guard.
notes
Skill "notes" from Pinvou/pinvou-agent, covering ima notes, operations, write rules, examples and response handling.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
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.