Agent skill

Juce Agent Toolkit

by autonomous-ai in autonomous-ai/openharness

Create and inspect audio projects in the JUCE Agent Toolkit Harness workspace, including its local starter and optional upstream integration.

MITAuto-check passed

Install Juce Agent Toolkit

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

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

GitHub CLI
$ gh skill install autonomous-ai/openharness juce-agent-toolkit --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/juce-agent-toolkit/skills/juce-agent-toolkit .claude/skills/juce-agent-toolkit && 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
juce-agent-toolkit
GitHub stars
1.2k
Token cost
~494 tokens
SKILL.md length
244 words
Files
1
Skills in repo
99
Repo updated
First seen
Licence
MIT

At a glance

Create and inspect audio projects in the JUCE Agent Toolkit 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

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

Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with C++. 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

  • “/juce-agent-toolkit”

Requirements

  • Python 3

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

Juce Agent Toolkit loads about 494 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 244 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~494

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). 244 words, ~494 tokens.

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

Instrument maker

Read studio.json to understand the current controls; "$STUDIO_TOOLCHAIN/../studio.config.json" describes their ranges. Run "$STUDIO_TOOLCHAIN/run.sh" render 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 browser audition and Python WAV renderer are local DSP previews. The JUCE action compiles a native offline renderer from the workspace CMake project. JUCE toolkit skills also cover creating full DAW plugins; the starter renderer is not a VST3 plugin.

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.

Make and validate an instrument

Start by changing one audible property: waveform, pitch, attack, or brightness. Render the same four-note phrase before and after. Compare peak/RMS levels and listen to both WAV files. For native DSP changes, edit workspace Source/main.cpp, run juce, and inspect the measured recording. Keep the CMake target and WAV command arguments intact so the viewer can run it.

For full plugins, read $STUDIO_UPSTREAM/skills/juce-project-create/SKILL.md, then the juce-project-starter and juce-build-release skills there. Plugin exports need their own host and audio checks. The offline renderer is the starter's verified native path.

© 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/juce-agent-toolkit/skills/juce-agent-toolkit of autonomous-ai/openharness.

Open the folder on GitHubat commit 74c2733

Compare with similar skills

Juce Agent Toolkit 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.

Juce Agent Toolkit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Juce Agent Toolkit this skillautonomous-ai/openharness1.2k—~494Automated safety check: PassMIT
Paddle BuildPaddlePaddle/Paddle24k—~1kAutomated safety check: PassApache-2.0
Fory Releaseapache/fory4.6k—~2.9kAutomated safety check: PassApache-2.0
ONNX Runtime Shape Inference Safety Auditmicrosoft/onnxruntime22k—~3.3kAutomated safety check: PassMIT
Code Audit3stoneBrother/code-audit8921 repos~2.7kAutomated safety check: PassNone
Qt C++ Code Reviewx-tools-author/x-tools1.1k2 repos~4.3kAutomated safety check: PassBSD-3-Clause

Similar skills

  • Paddle Build

    PaddlePaddle/Paddle

    A skill your agent uses when needing to compile, rebuild, or install Paddle from source after code changes.

    24k GitHub stars~1k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Fory Release

    apache/fory

    Prepare an Apache Fory release candidate from a clean release branch, including the version bump, RC tag, JVM staging, ASF source artifacts, SVN upload, and vote email.

    4.6k GitHub stars~2.9k tokensUpdated yesterday
    Auto-check passed
  • Official

    Finds and fixes out-of-range output writes in ONNX Runtime operator shape-inference functions where a getNumOutputs guard admits too few outputs.

    22k GitHub stars~3.3k tokensUpdated today
    SecurityAuto-check passed
  • Code Audit

    3stoneBrother/code-audit

    Professional code security audit skill covering 55+ vulnerability types.

    892 GitHub starsUsed in 1 repo~2.7k tokens
    SecurityAuto-check passed
  • Qt C++ Code Review

    x-tools-author/x-tools

    Read-only review of Qt6 C++ code that combines a deterministic lint script with six parallel analysis agents and reports only high-confidence issues.

    1.1k GitHub starsUsed in 2 repos~4.3k tokens
    DevelopmentAuto-check passed
  • Translation

    doxygen/doxygen

    Keeps all Doxygen and Doxywizard translations up to date across three mechanisms: translator C++ classes (src/translatorxx.h), Qt .ts locale files for the Doxywizard GUI (addon/doxywizard/i18n/)…

    6.6k GitHub stars~5.2k tokensUpdated 8 days ago
    Writing & ContentAuto-check passed

More from autonomous-ai/openharness

All 99 skills in this repo
  • G-code Slicer Tool

    autonomous-ai/openharness

    Slices 3D mesh files into printer-profiled plain G-code through real slicer CLIs, with backend discovery, input inspection, dry runs and static validation.

    1.2k GitHub stars~1.5k tokensUpdated today
    Auto-check passed
  • Home Assistant Automation Builder

    autonomous-ai/openharness

    Turns a home-automation request into standard, testable automations.yaml, run against Home Assistant Core's real triggers and verified with its own trace tool.

    1.2k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Score Music Composer

    autonomous-ai/openharness

    Turns a musical brief into LilyPond concert-pitch music, checked parts for each instrument and a playable practice pack.

    1.2k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • OrcaSlicer 3MF and G-code Workflow

    autonomous-ai/openharness

    Turns an STL and explicit printer and material requirements into compared OrcaSlicer plans, an editable 3MF project, checked G-code and a portable handoff.

    1.2k GitHub stars~1.5k tokensUpdated today
    Auto-check passed
  • Sheets and Docs Report Builder

    autonomous-ai/openharness

    Builds an editable DOCX report, a formula-driven XLSX workbook and a fresh LibreOffice PDF preview from one structured source file, then checks them together.

    1.2k GitHub stars~708 tokensUpdated today
    Auto-check passed
  • Bambu Labs

    autonomous-ai/openharness

    Dry-run, upload, and cautiously initiate local Bambu Lab print jobs from validated plain .gcode, using Bambu LAN FTPS/MQTT handoffs.

    1.2k GitHub starsUsed in 1 repo~2.1k tokens
    Auto-check: warnings

Works with

Questions about Juce Agent Toolkit

What does Juce Agent Toolkit do?

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

How do I install Juce Agent Toolkit in Claude Code?

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

How do I install Juce Agent Toolkit in Codex?

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

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

What does Juce Agent Toolkit need to run?

SKILL.md names no scripts, command-line tools or credentials: Juce Agent Toolkit is instructions for the agent only. Our summary lists: Python 3.

Does Juce Agent Toolkit 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 Juce Agent Toolkit 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 Juce Agent Toolkit use?

Juce Agent Toolkit 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 Juce Agent Toolkit use?

About 494 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 Juce Agent Toolkit?

Skills that share tags, products or a category with Juce Agent Toolkit: Paddle Build (PaddlePaddle/Paddle, 24k stars), Fory Release (apache/fory, 4.6k stars), ONNX Runtime Shape Inference Safety Audit (microsoft/onnxruntime, 22k stars) and Code Audit (3stoneBrother/code-audit, 892 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Juce Agent Toolkit?

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.