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Agent skill

Jev Conductor

by autonomous-ai in autonomous-ai/openharness

Curate a live Jev improvisation in OpenHarness's viewer, where Jev composes chords, bass and melody bar by bar in real time.

MITAuto-check passed

Install Jev Conductor

skills CLI
$ npx skills add autonomous-ai/openharness --skill jev-conductor -a claude-code

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

GitHub CLI
$ gh skill install autonomous-ai/openharness jev-conductor --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/jev-conductor/skills/conductor .claude/skills/jev-conductor && 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
jev-conductor
GitHub stars
1.2k
Token cost
~619 tokens
SKILL.md length
273 words
Files
1
Skills in repo
99
Repo updated
First seen
Licence
MIT

At a glance

Curate a live Jev improvisation in OpenHarness's viewer, where Jev composes chords, bass and melody bar by bar in real time.

  • Works in 3 steps: Update piece.json. The viewer watches it… → node "$JEV_DSH/toolchain/check.mjs"… → Listen (or reason about the design): a…
  • SKILL.md covers The loop, Reading Jev, Verifying a piece and Driving Jev yourself
  • Calls node; needs TYPESAFE_API_KEY

What it does

Jev Conductor is an agent skill from autonomous-ai/openharness. Curate a live Jev improvisation in OpenHarness's viewer, where Jev composes chords, bass and melody bar by bar in real time.

Its SKILL.md is about 620 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

  • “/jev-conductor”

Requirements

  • A credential in TYPESAFE_API_KEY

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Update piece.json. The viewer watches it and reshapes Jev's playing live — no restart, no
  2. node "$JEV_DSH/toolchain/check.mjs" verifies the workspace's piece.json is valid and
  3. Listen (or reason about the design): a narrow consonant scale + small harmonic palette yields

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

    Shell commands in SKILL.md call:

    • node

    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 these keys or tokens, usually read from environment variables:

    • TYPESAFE_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Jev Conductor loads about 619 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 273 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~619

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). 273 words, ~619 tokens.

Download SKILL.mdSave it as .claude/skills/jev-conductor/SKILL.md (or your agent's skills folder).
name
jev-conductor
description
Curate a live Jev improvisation in OpenHarness's viewer, where Jev composes chords, bass and melody bar by bar in real time.

Jev Conductor composition

Jev Conductor shows a live scrolling score: Jev (TypeSafe's System One model) picks the next bar's chord, bass note, lead phrase, mood and energy on a bar clock, and the pane performs it with Web Audio. The agent curates piece.json — the musical constraints Jev improvises within.

The loop

  1. Update piece.json. The viewer watches it and reshapes Jev's playing live — no restart, no second server.
  2. node "$JEV_DSH/toolchain/check.mjs" verifies the workspace's piece.json is valid and range-checked, and reports the current verdict. Run it before you call a piece done.
  3. Listen (or reason about the design): a narrow consonant scale + small harmonic palette yields coherent improv; a wide or chromatic scale yields chaos. Name the moods you want to hear.

Reading Jev

The viewer colors each bar by mood and shows Jev's choices (chord, bass, lead, mood, energy). Because Jev's choice questions return a probability distribution, jev.mjs's mock and the real model both pick a choice — but what matters musically is the constraint design: a strong tonic, a small consonant scale, vivid mood labels. Design those well and any path Jev walks sounds like music.

Verifying a piece

node "$JEV_DSH/toolchain/check.mjs" returns non-zero when piece.json is invalid (bad notes, out of range, empty palettes). It does not replace judging the music. The real test is coherence: with a tonic-centered chord list and a consonant scale, Jev's random walks resolve; with a giant chromatic scale they won't.

Driving Jev yourself

toolchain/jev.mjs exports a small client. Example (from the workspace) — audition a chord palette before you commit to it:

bash
node --input-type=module -e '
import { evaluate, jev } from "$JEV_DSH/toolchain/jev.mjs";
const res = await evaluate({
  state: "You are scoring mood music. Palette A resolves to the tonic; palette B is all tension.",
  questions: {
    electric: jev.score({0:"flat",1:"alive",2:"electric"}, "How electric is this palette to improvise in?"),
    cohesive: jev.noul("Will random walks through this palette sound cohesive?"),
  },
});
console.log(JSON.stringify(res.answers, null, 2));
'

Without TYPESAFE_API_KEY this uses the deterministic mock; set the key to hit live Jev.

© 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/jev-conductor/skills/conductor of autonomous-ai/openharness.

Open the folder on GitHubat commit 74c2733

Compare with similar skills

Jev Conductor 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.

Jev Conductor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jev Conductor this skillautonomous-ai/openharness1.2k—~619Automated safety check: PassMIT
Jev Curationyibie/awesome-jev2.2k—~3.7kAutomated safety check: PassNone
Conductor Setupsickn33/agentic-awesome-skills47k2 repos~1kAutomated safety check: NotesMIT
Developing PDF ViewerTriliumNext/Trilium38k—~1.8kAutomated safety check: PassAGPL-3.0
Jev Socialsickn33/agentic-awesome-skills47k1 repos~3.4kAutomated safety check: PassMIT
Jev Usesickn33/agentic-awesome-skills47k1 repos~2.5kAutomated safety check: PassMIT

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Questions about Jev Conductor

What does Jev Conductor do?

Curate a live Jev improvisation in OpenHarness's viewer, where Jev composes chords, bass and melody bar by bar in real time. Jev Conductor is an agent skill from autonomous-ai/openharness. Curate a live Jev improvisation in OpenHarness's viewer, where Jev composes chords, bass and melody bar by bar in real time.

How do I install Jev Conductor in Claude Code?

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

How do I install Jev Conductor in Codex?

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

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

What does Jev Conductor need to run?

Going by SKILL.md and its folder, Jev Conductor needs the command-line tools its instructions call (node) and credentials named TYPESAFE_API_KEY. Our summary lists: A credential in TYPESAFE_API_KEY.

Does Jev Conductor 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 Jev Conductor 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 Jev Conductor use?

Jev Conductor 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 Jev Conductor use?

About 619 tokens (SKILL.md is roughly 2.5k 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 Jev Conductor?

Skills that share tags, products or a category with Jev Conductor: Jev Curation (yibie/awesome-jev, 2.2k stars), Conductor Setup (sickn33/agentic-awesome-skills, 47k stars), Developing PDF Viewer (TriliumNext/Trilium, 38k stars) and Jev Social (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jev Conductor?

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.