Agent skill

Foam Agent

by autonomous-ai in autonomous-ai/openharness

Create and inspect simulation projects in the Foam-Agent Harness workspace, including its local starter and optional upstream integration.

MITAuto-check passed

Install Foam Agent

skills CLI
$ npx skills add autonomous-ai/openharness --skill foam-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install autonomous-ai/openharness foam-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/store/agents/foam-agent/skills/foam-agent .claude/skills/foam-agent && rm -rf skills-src

Use ~/.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/

Facts

Skill name
foam-agent
GitHub stars
1.2k
Token cost
~523 tokens
SKILL.md length
253 words
Files
1
Skills in repo
99
Repo updated
First seen
Licence
MIT

At a glance

Create and inspect simulation projects in the Foam-Agent 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

Foam Agent is an agent skill from autonomous-ai/openharness. Create and inspect simulation projects in the Foam-Agent Harness workspace, including its local starter and optional upstream integration.

Its SKILL.md is about 520 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

  • “/foam-agent”

What it can do on your machine

Read from SKILL.md and the folder at commit 74c2733. 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

Foam Agent loads about 523 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 253 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~523

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 74c2733, republished under its MIT licence (© autonomous-ai). 253 words, ~523 tokens.

Download SKILL.mdSave it as .claude/skills/foam-agent/SKILL.md (or your agent's skills folder).
name
foam-agent
description
Create and inspect simulation projects in the Foam-Agent Harness workspace, including its local starter and optional upstream integration.

Wind tunnel

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 local workflow solves a two-dimensional D2Q9 lattice Boltzmann model on a coarse grid. It is an exploratory simulation, not a converged engineering drag analysis. The optional OpenFOAM action reproduces the supplied lid-driven cavity benchmark; Foam-Agent instructions and sources are pinned for richer cases.

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.

Compare flow cases

Save a baseline, then vary shape or radius while holding inlet speed, viscosity, and solver steps fixed. Read flow.csv and field.json; check finite velocities, solid-boundary velocities, and the convergence record. A coarse flow picture does not establish drag or mesh convergence. Wind strength in studio.json is divided by 100 for the lattice inlet velocity.

For real OpenFOAM work, read $STUDIO_UPSTREAM/.claude/skills/foam.md before constructing a case. The optional openfoam action checks the supplied cavity benchmark with active blockMesh and icoFoam. Preserve its boundary conditions when reproducing the benchmark. Upstream model/MCP planning requires its separate dependencies and credentials.

© 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/foam-agent/skills/foam-agent of autonomous-ai/openharness.

Open the folder on GitHubat commit 74c2733

Compare with similar skills

Foam Agent 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.

Foam Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Foam Agent this skillautonomous-ai/openharness1.2k—~523Automated safety check: PassMIT
Node Inspect Debuggeropenclaw/openclaw392k1 repos~894Automated safety check: PassMIT
Eas Simulatorsickn33/agentic-awesome-skills47k1 repos~6kAutomated safety check: NotesMIT
Blender Motion State Inspectionaffaan-m/ECC276k1 repos~2kAutomated safety check: PassMIT
Inspect Diskfelixrieseberg/windows9524k—~1.3kAutomated safety check: PassCustom licence
Inspect AIa2ui-project/a2ui17k1 repos~226Automated safety check: PassApache-2.0

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Questions about Foam Agent

What does Foam Agent do?

Create and inspect simulation projects in the Foam-Agent Harness workspace, including its local starter and optional upstream integration. Foam Agent is an agent skill from autonomous-ai/openharness. Create and inspect simulation projects in the Foam-Agent Harness workspace, including its local starter and optional upstream integration.

How do I install Foam Agent in Claude Code?

Run `npx skills add autonomous-ai/openharness --skill foam-agent -a claude-code`. Or copy the skill folder (store/agents/foam-agent/skills/foam-agent in autonomous-ai/openharness) into .claude/skills/foam-agent in your project. Claude Code loads it when a task matches its description.

How do I install Foam Agent in Codex?

Run `npx skills add autonomous-ai/openharness --skill foam-agent -a codex`. Or copy the skill folder (store/agents/foam-agent/skills/foam-agent in autonomous-ai/openharness) into .agents/skills/foam-agent in your project. Codex loads it when a task matches its description.

Can I use Foam Agent 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 foam-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/foam-agent, .gemini/skills/foam-agent, .github/skills/foam-agent and .opencode/skills/foam-agent in your project.

What does Foam Agent need to run?

SKILL.md names no scripts, command-line tools or credentials: Foam Agent is instructions for the agent only.

Does Foam Agent 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 Foam Agent 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 Foam Agent use?

Foam Agent 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 Foam Agent use?

About 523 tokens (SKILL.md is roughly 2.1k 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 Foam Agent?

Skills that share tags, products or a category with Foam Agent: Node Inspect Debugger (openclaw/openclaw, 392k stars), Eas Simulator (sickn33/agentic-awesome-skills, 47k stars), Blender Motion State Inspection (affaan-m/ECC, 276k 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 Foam Agent?

autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,194 GitHub stars. The repository holds 99 skills in this directory. The repository was last updated on October 9, 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.