Node Inspect Debugger
openclaw/openclaw
Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.
Create and inspect robotics projects in the DimOS Harness workspace, including its local starter and optional upstream integration.
MITAuto-check passed
Install Dimos
$ npx skills add autonomous-ai/openharness --skill dimos -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autonomous-ai/openharness dimos --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/store/agents/dimos/skills/dimos .claude/skills/dimos && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dimos" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/dimos/skills/dimos into .claude/skills/dimos/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dimos", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/autonomous-ai/openharness/tree/main/store/agents/dimos/skills/dimosType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add autonomous-ai/openharness --skill dimos -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autonomous-ai/openharness dimos --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/store/agents/dimos/skills/dimos .agents/skills/dimos && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dimos" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/dimos/skills/dimos into .agents/skills/dimos/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dimos", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/openharness --skill dimos -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autonomous-ai/openharness dimos --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/store/agents/dimos/skills/dimos .cursor/skills/dimos && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dimos" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/dimos/skills/dimos into .cursor/skills/dimos/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dimos", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/autonomous-ai/openharness.git --path store/agents/dimos/skills/dimos--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add autonomous-ai/openharness --skill dimos -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autonomous-ai/openharness dimos --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/store/agents/dimos/skills/dimos .gemini/skills/dimos && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dimos" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/dimos/skills/dimos into .gemini/skills/dimos/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dimos", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install autonomous-ai/openharness dimosInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add autonomous-ai/openharness --skill dimos -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .github/skills && cp -r skills-src/store/agents/dimos/skills/dimos .github/skills/dimos && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dimos" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/dimos/skills/dimos into .github/skills/dimos/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dimos", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/openharness --skill dimos -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install autonomous-ai/openharness dimos --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/store/agents/dimos/skills/dimos .opencode/skills/dimos && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dimos" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/dimos/skills/dimos into .opencode/skills/dimos/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dimos", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dimos- GitHub stars
- 1.1k
- Token cost
- ~503 tokens
- SKILL.md length
- 248 words
- Files
- 1
- Skills in repo
- 100
- Repo updated
- First seen
- Licence
- MIT
At a glance
Create and inspect robotics projects in the DimOS Harness workspace, including its local starter and optional upstream integration.
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Dimos is an agent skill from autonomous-ai/openharness. Create and inspect robotics projects in the DimOS Harness workspace, including its local starter and optional upstream integration.
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across… The licence is MIT.
Example prompts
- “/dimos”
What it can do on your machine
Read from SKILL.md and the folder at commit 50da5db. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dimos loads about 503 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 248 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from autonomous-ai/openharness at commit 50da5db, republished under its MIT licence (© autonomous-ai). 248 words, ~503 tokens.
Download SKILL.mdSave it as
.claude/skills/dimos/SKILL.md (or your agent's skills folder).- name
- dimos
- description
- Create and inspect robotics projects in the DimOS Harness workspace, including its local starter and optional upstream integration.
Mission control
Read studio.json to understand the current controls; "$STUDIO_TOOLCHAIN/../studio.config.json"
describes their ranges. Run "$STUDIO_TOOLCHAIN/run.sh" simulate to make a new result.
Successful artifacts and their measurements are in out/runs/<id>/; out/latest.json names the
current result. A failed run preserves the last success and records the error in the verdict.
The starter performs A* route planning and real MuJoCo dynamics in an original two-dimensional office rover model. It is not a Unitree robot or physical execution. DimOS is fetched at a pinned source commit; its full daemon and perception stack are an optional, larger installation.
Use "$STUDIO_TOOLCHAIN/../README.md" for the integration contract and commands. Read the relevant
files under $STUDIO_UPSTREAM before using an upstream API. Keep controls within their documented
ranges, preserve the data needed to reproduce a comparison, and distinguish preview results from
native service or hardware output. The viewer supports history and artifact downloads; tell the
user which run contains the result, and what was actually measured.
Plan, execute, inspect
Choose an open destination in the office or gallery. Run simulate, then inspect
mission.json and mission.xml. Check arrival, final position, travel time, distance, and wall
contacts. Replay uses the recorded MuJoCo positions. A destination inside the inflated
obstacle boundary must fail explicitly; choose another destination instead of inventing a path.
Read $STUDIO_UPSTREAM/docs/quickstart.md and docs/installation/osx.md before working with
DimOS itself. The local starter is an original planar rover, not a Unitree simulation. The
optional dimos action only reads daemon status. Simulation success never implies a physical
robot reached its destination.
© autonomous-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in store/agents/dimos/skills/dimos of autonomous-ai/openharness.
Open the folder on GitHubat commit 50da5db
Compare with similar skills
Dimos next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dimos this skillautonomous-ai/openharness | 1.1k | — | ~503 | Automated safety check: Pass | MIT | |
| Node Inspect Debuggeropenclaw/openclaw | 392k | 1 repos | ~894 | Automated safety check: Pass | MIT | |
| Robots Meta Conflictthedaviddias/Front-End-Checklist | 74k | — | ~555 | Automated safety check: Pass | MIT | |
| Blender Motion State Inspectionaffaan-m/ECC | 275k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Inspect Diskfelixrieseberg/windows95 | 24k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Robot Framework Skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT |
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affaan-m/ECC
A skill your agent uses when inspecting Blender characters, rigs, poses, animation retargeting, ground contact, facing direction, or model-vs-motion alignment where screenshots alone are not enough.
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Inspect or modify the Windows 95 disk image offline with mtools — no QEMU, no Electron, no boot.
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Questions about Dimos
What does Dimos do?
Create and inspect robotics projects in the DimOS Harness workspace, including its local starter and optional upstream integration. Dimos is an agent skill from autonomous-ai/openharness. Create and inspect robotics projects in the DimOS Harness workspace, including its local starter and optional upstream integration.
How do I install Dimos in Claude Code?
Run `npx skills add autonomous-ai/openharness --skill dimos -a claude-code`. Or copy the skill folder (store/agents/dimos/skills/dimos in autonomous-ai/openharness) into .claude/skills/dimos in your project. Claude Code loads it when a task matches its description.
How do I install Dimos in Codex?
Run `npx skills add autonomous-ai/openharness --skill dimos -a codex`. Or copy the skill folder (store/agents/dimos/skills/dimos in autonomous-ai/openharness) into .agents/skills/dimos in your project. Codex loads it when a task matches its description.
Can I use Dimos in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add autonomous-ai/openharness --skill dimos -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dimos, .gemini/skills/dimos, .github/skills/dimos and .opencode/skills/dimos in your project.
What does Dimos need to run?
SKILL.md names no scripts, command-line tools or credentials: Dimos is instructions for the agent only.
Does Dimos access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Dimos safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Dimos use?
Dimos is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dimos use?
About 503 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Dimos?
Skills that share tags, products or a category with Dimos: Node Inspect Debugger (openclaw/openclaw, 392k stars), Robots Meta Conflict (thedaviddias/Front-End-Checklist, 74k stars), Blender Motion State Inspection (affaan-m/ECC, 275k stars) and Inspect Disk (felixrieseberg/windows95, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dimos?
autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,149 GitHub stars. The repository holds 100 skills in this directory. The repository was last updated on October 8, 2026.
Source: autonomous-ai/openharness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.