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 agentmods add skills/cyborg-garden/hermes-agent-mt/openhandsnpx skills add cyborg-garden/hermes-agent-mt --skill openhandsgit clone --depth 1 https://github.com/cyborg-garden/hermes-agent-mtWrote 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/cyborg-garden/hermes-agent-mt/openhands)<a href="https://agentmods.dev/skills/cyborg-garden/hermes-agent-mt/openhands"><img src="https://agentmods.dev/badge/skills/cyborg-garden/hermes-agent-mt/openhands.svg" alt="Measured on agentmods" 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 | $0.00019 | $0.02312 |
| Opus 5 | $0.00010 | $0.01156 |
| Sonnet 5 | $0.00004 | $0.00462 |
| Haiku 4.5 | $0.00002 | $0.00231 |
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 6d 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.
This is a copy
100% identical to openhands — 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 — 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.
- 6d ago First seen · 150 lines · 19 tokens per session scan A ff4f504c5cd1
openhands is a skill published in the GitHub repository cyborg-garden/hermes-agent-mt (13 stars, last pushed 5d ago), licensed MIT. It adds 19 tokens to every session and 2,312 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to openhands, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
no-mistakes
Validate your code changes through the no-mistakes pipeline - automated code review, tests, lint, docs, push, PR, and CI - before they reach upstream. Use when the user asks to run no-mistakes, gate or ship or validate their changes, push safely, asks you to do a task and then validate it, or invokes /no-mistakes.
mnemosyne-context
Load this when working on the mnemosyne memory system — its repo, sync server, memory databases, or CI. Covers architecture, the surface/sync data model, dev workflow (tests/ruff/CI matrix), release policy, and known gotchas that are easy to get wrong. Use for any "mnemosyne" dev or devops task, or when a…
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.
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.
wikiskill-evolve
Run the WikiSkill self-evolution loop (arXiv 2608.27454) on a Hermes workspace — raw→maintainer→proposer→gate with strict Rval > Rbest gating.