Hermes Agent is an AI assistant that learns from its use by creating and improving skills, retaining knowledge, searching past conversations, and adapting to its users. It is for people who want to run an agent through a terminal or messaging platforms while connecting it to different AI models and scheduled tasks.
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 NousResearch/hermes-agent --skill openhandsgit clone --depth 1 https://github.com/NousResearch/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/nousresearch/hermes-agent/openhands)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/openhands"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/openhands/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/nousresearch/hermes-agent/openhands"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/openhands.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Excessive Agency · line 93 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 101 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00019 | $0.02318 |
| Opus 5.5 | $0.00008 | $0.00927 |
| Sonnet 5.5 | $0.00004 | $0.00464 |
| Haiku 4.5 | $0.00002 | $0.00232 |
Grade A, and why
openhands 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 26d 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.
Copies of this mod
6 near-identical copies found in the catalogue:
How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenHands CLI
Delegate coding tasks to the OpenHands CLI via the terminal tool. OpenHands is model-agnostic: any LiteLLM-supported provider (OpenAI, Anthropic, OpenRouter, DeepSeek, Ollama, vLLM, etc.).
This skill is the headless-mode wrapper for batch / one-shot delegation. The interactive textual UI is not used from Hermes.
When to Use
- User wants a coding task delegated to OpenHands specifically.
- User wants a coding agent that can run on a non-Anthropic / non-OpenAI provider (DeepSeek, Qwen, Ollama, vLLM, Nous, etc.) — sibling skills
claude-codeandcodexare tied to one vendor. - Multi-step file edits + shell commands inside a workspace.
For Claude-native, prefer claude-code. For OpenAI-native, prefer codex. For Hermes-native subagents, use delegate_task.
Prerequisites
-
Install upstream (requires Python 3.12+ and
uv):terminal(command="uv tool install openhands --python 3.12")Verify:
openhands --version(currentlyOpenHands CLI 1.16.0/SDK v1.21.0at time of writing). -
Pick a model and set env vars for
--override-with-envs:export LLM_MODEL=openrouter/openai/gpt-4o-mini # or any LiteLLM slug export LLM_API_KEY=$OPENROUTER_API_KEY export LLM_BASE_URL=https://openrouter.ai/api/v1 # omit for native OpenAILLM_MODELuses LiteLLM's full slug. When the provider is OpenRouter the slug is doubly-prefixed:openrouter/<vendor>/<model>(e.g.openrouter/anthropic/claude-sonnet-4.5). For native Anthropic:anthropic/claude-sonnet-4-5. For native OpenAI:openai/gpt-4o-mini. -
Suppress the startup banner so JSON output isn't preceded by ASCII art:
export OPENHANDS_SUPPRESS_BANNER=1
How to Run
Always invoke through the terminal tool. Always pass --headless --json --override-with-envs --exit-without-confirmation for automation.
One-shot task
terminal(
command="OPENHANDS_SUPPRESS_BANNER=1 LLM_MODEL=openrouter/openai/gpt-4o-mini LLM_API_KEY=$OPENROUTER_API_KEY LLM_BASE_URL=https://openrouter.ai/api/v1 openhands --headless --json --override-with-envs --exit-without-confirmation -t 'Add error handling to all API calls in src/'",
workdir="/path/to/project",
timeout=600
)
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.
- 26d ago Changed 7abd61ab5c9b
- 1mo ago First seen · 150 lines · 19 tokens per session scan A ff4f504c5cd1
openhands is a skill published in the GitHub repository NousResearch/hermes-agent (254,120 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 2,318 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
xlsx
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from…
options
Present multiple design options as a vertical stack of anchored turns.
notion
Search, read, create, and update Notion pages via the Notion MCP.
content-engine
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
article-writing
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
mem0-test-integration
Verify a Mem0 integration produced by /mem0-integrate. Runs in the same workspace on the same branch (loose coupling) — installs dependencies, runs the repo's native test suite, then exercises a real end-to-end smoke flow against the user's API key. Produces a scorecard. TRIGGER when: user has just run /mem0-integrate…