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Agent skill

Jev Launcher

by autonomous-ai in autonomous-ai/openharness

Design and verify Jev's command palettes in OpenHarness's viewer, where Jev ranks launch targets live per keystroke.

MITAuto-check passed

Install Jev Launcher

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

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

GitHub CLI
$ gh skill install autonomous-ai/openharness jev-launcher --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-launcher/skills/launcher .claude/skills/jev-launcher && 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-launcher
GitHub stars
1.2k
Token cost
~605 tokens
SKILL.md length
263 words
Files
1
Skills in repo
100
Repo updated
First seen
Licence
MIT

At a glance

Design and verify Jev's command palettes in OpenHarness's viewer, where Jev ranks launch targets live per keystroke.

  • Works in 3 steps: Update launcher.json (title, prompt, and… → node "$JEV_DSH/toolchain/check.mjs"… → Watch the ranking. Does Jev's top pick…
  • SKILL.md covers The loop, Reading Jev, Verifying a palette and Driving Jev yourself
  • Calls node; needs TYPESAFE_API_KEY

What it does

Jev Launcher is an agent skill from autonomous-ai/openharness. Design and verify Jev's command palettes in OpenHarness's viewer, where Jev ranks launch targets live per keystroke.

Its SKILL.md is about 610 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

  • “s command palettes in OpenHarness”
  • “/jev-launcher”

Requirements

  • A credential in TYPESAFE_API_KEY

Workflow steps

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

  1. Update launcher.json (title, prompt, and the target list with categories + aliases). The viewer
  2. node "$JEV_DSH/toolchain/check.mjs" verifies the workspace's launcher.json is valid. Run it
  3. Watch the ranking. Does Jev's top pick track the query you typed — or does it pick the same

What it can do on your machine

Read from SKILL.md and the folder at commit cc4983e. 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 Launcher loads about 605 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 263 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~605

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 cc4983e, republished under its MIT licence (© autonomous-ai). 263 words, ~605 tokens.

Download SKILL.mdSave it as .claude/skills/jev-launcher/SKILL.md (or your agent's skills folder).
name
jev-launcher
description
Design and verify Jev's command palettes in OpenHarness's viewer, where Jev ranks launch targets live per keystroke.

Jev Launcher palette design

Jev Launcher shows a live predictive command palette: Jev (TypeSafe's System One model) reads a query and ranks which launch target to surface first, on every keystroke. The agent designs launcher.json — the palette of targets and the aliases Jev fuzzy-matches against.

The loop

  1. Update launcher.json (title, prompt, and the target list with categories + aliases). The viewer watches it and Jev adapts live — no restart, no second server.
  2. node "$JEV_DSH/toolchain/check.mjs" verifies the workspace's launcher.json is valid. Run it before you call a palette done.
  3. Watch the ranking. Does Jev's top pick track the query you typed — or does it pick the same target regardless? That observation is the finding.

Reading Jev

The viewer shows the full ranking with confidence bars for the current query. A good palette produces movement: Jev should re-rank as the query narrows. Distinct aliases and overlapping ones ("ship", "release", "deploy") give Jev real signals; a query with no alias coverage makes Jev guess no matter what. An idle palette (nothing typed) should lead with featured targets.

Verifying a palette

node "$JEV_DSH/toolchain/check.mjs" returns non-zero when launcher.json is invalid (no title, fewer than two targets, duplicate names). It doesn't replace watching the ranking: type partial queries and confirm Jev's pick moves toward the target whose aliases match, and that a confident short query snaps to a clear winner.

Driving Jev yourself

toolchain/jev.mjs exports a small client. Example (from the workspace) — ask Jev's read on a query 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: "A palette: 1. Open Editor [Apps] aliases: code, vscode, ide — launch. 2. Deploy [Ops] aliases: ship, release, deploy — launch. Current query: \"de\". Pick the ONE target that best matches.",
  questions: {
    pick: jev.choice(["Open Editor", "Deploy"], "Which launch target is the best match?"),
  },
});
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-launcher/skills/launcher of autonomous-ai/openharness.

Open the folder on GitHubat commit cc4983e

Compare with similar skills

Jev Launcher 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 Launcher compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jev Launcher this skillautonomous-ai/openharness1.2k—~605Automated safety check: PassMIT
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
Jev Memorysuperdesigndev/treg4.9k—~1.7kAutomated safety check: PassCustom licence
Omh Jev Askrlaope/oh-my-hermes3.2k—~673Automated safety check: PassMIT

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Questions about Jev Launcher

What does Jev Launcher do?

Design and verify Jev's command palettes in OpenHarness's viewer, where Jev ranks launch targets live per keystroke. Jev Launcher is an agent skill from autonomous-ai/openharness. Design and verify Jev's command palettes in OpenHarness's viewer, where Jev ranks launch targets live per keystroke.

How do I install Jev Launcher in Claude Code?

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

How do I install Jev Launcher in Codex?

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

Can I use Jev Launcher 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-launcher -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-launcher, .gemini/skills/jev-launcher, .github/skills/jev-launcher and .opencode/skills/jev-launcher in your project.

What does Jev Launcher need to run?

Going by SKILL.md and its folder, Jev Launcher 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 Launcher 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 Launcher 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 Launcher use?

Jev Launcher 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 Launcher use?

About 605 tokens (SKILL.md is roughly 2.4k 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 Launcher?

Skills that share tags, products or a category with Jev Launcher: Developing PDF Viewer (TriliumNext/Trilium, 38k stars), Jev Social (sickn33/agentic-awesome-skills, 47k stars), Jev Use (sickn33/agentic-awesome-skills, 47k stars) and Jev Memory (superdesigndev/treg, 4.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jev Launcher?

autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,210 GitHub stars. The repository holds 100 skills in this directory. The repository was last updated on October 10, 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.