Image to Three.js Model
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Rebuilds the object in a reference image as a procedural, animation-ready Three.js model written entirely in code, using staged sculpting with quality checks.
Stage and verify Jev-on-Jev Reversi duels in OpenHarness's viewer, where Jev plays both sides and a third Jev referees.
Install Jev Duel
$ npx skills add autonomous-ai/openharness --skill jev-duel -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autonomous-ai/openharness jev-duel --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/jev-duel/skills/duel .claude/skills/jev-duel && 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 "jev-duel" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-duel/skills/duel into .claude/skills/jev-duel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-duel", 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/jev-duel/skills/duelType 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 jev-duel -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autonomous-ai/openharness jev-duel --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/jev-duel/skills/duel .agents/skills/jev-duel && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jev-duel" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-duel/skills/duel into .agents/skills/jev-duel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-duel", 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 jev-duel -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autonomous-ai/openharness jev-duel --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/jev-duel/skills/duel .cursor/skills/jev-duel && 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 "jev-duel" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-duel/skills/duel into .cursor/skills/jev-duel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-duel", 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/jev-duel/skills/duel--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 jev-duel -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autonomous-ai/openharness jev-duel --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/jev-duel/skills/duel .gemini/skills/jev-duel && 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 "jev-duel" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-duel/skills/duel into .gemini/skills/jev-duel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-duel", 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 jev-duelInstalls 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 jev-duel -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/jev-duel/skills/duel .github/skills/jev-duel && 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 "jev-duel" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-duel/skills/duel into .github/skills/jev-duel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-duel", 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 jev-duel -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 jev-duel --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/jev-duel/skills/duel .opencode/skills/jev-duel && 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 "jev-duel" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-duel/skills/duel into .opencode/skills/jev-duel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-duel", 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
jev-duel- GitHub stars
- 1.2k
- Token cost
- ~554 tokens
- SKILL.md length
- 226 words
- Files
- 1
- Skills in repo
- 99
- Repo updated
- First seen
- Licence
- MIT
At a glance
Stage and verify Jev-on-Jev Reversi duels in OpenHarness's viewer, where Jev plays both sides and a third Jev referees.
- Works in 3 steps: Update battle.json (two rivals with… → node "$JEV_DSH/toolchain/check.mjs"… → Watch the board. Do the personalities…
- Game Development work in your project
- SKILL.md covers The loop, Reading Jev, Verifying a duel and Driving Jev yourself
- Calls node; needs TYPESAFE_API_KEY
What it does
Jev Duel is an agent skill from autonomous-ai/openharness. Stage and verify Jev-on-Jev Reversi duels in OpenHarness's viewer, where Jev plays both sides and a third Jev referees.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Game Development. The repository describes itself as: The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across… The licence is MIT.
When your agent uses it
- Game Development work in your project
Example prompts
- “/jev-duel”
Requirements
- A credential in TYPESAFE_API_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Update battle.json (two rivals with clashing personalities). The viewer watches it and reframes
- node "$JEV_DSH/toolchain/check.mjs" verifies the workspace's battle.json is valid and
- Watch the board. Do the personalities actually fight? Greed grabs center flips; patience takes
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 Duel loads about 554 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 226 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 74c2733, republished under its MIT licence (© autonomous-ai). 226 words, ~554 tokens.
Download SKILL.mdSave it as
.claude/skills/jev-duel/SKILL.md (or your agent's skills folder).- name
- jev-duel
- description
- Stage and verify Jev-on-Jev Reversi duels in OpenHarness's viewer, where Jev plays both sides and a third Jev referees.
Jev Duel matchmaking
Jev Duel shows a live Reversi board: Jev (TypeSafe's System One model) plays both sides, one move
each turn, and a third Jev referees every move. The agent stages battle.json — the two rivals'
personalities, the referee's focus, the show.
The loop
- Update
battle.json(two rivals with clashing personalities). The viewer watches it and reframes both Jevs live — no restart, no second server. node "$JEV_DSH/toolchain/check.mjs"verifies the workspace'sbattle.jsonis valid and reports the verdict. Run it before you call a duel done.- Watch the board. Do the personalities actually fight? Greed grabs center flips; patience takes corners. If their play looks identical, sharpen the personalities.
Reading Jev
The viewer shows each side "thinking" (blinking), the move it makes, and the referee's per-move
call (strong · aggressive/quiet · decided). The drama is the contrast: two distinct Jevs on one
board. A corner-taker and a flip-grabber will visibly differ; two identical prompts will not.
Verifying a duel
node "$JEV_DSH/toolchain/check.mjs" returns non-zero when battle.json is invalid (bad size,
missing rivals). It doesn't replace watching the game: confirm the board fills, turns alternate, and
a winner or draw eventually appears.
Driving Jev yourself
toolchain/jev.mjs exports a small client. Example (from the workspace) — audition personalities
with the referee before you stage the duel:
node --input-type=module -e '
import { evaluate, jev } from "$JEV_DSH/toolchain/jev.mjs";
const res = await evaluate({
state: "A greedy Reversi player who grabs center flips vs a patient corner-taker.",
questions: {
clash: jev.score({0:"boring",1:"fun",2:"electric"}, "How much would these two personalities clash on a board?"),
fair: jev.noul("Is this a fair, winnable matchup for either side?"),
},
});
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-duel/skills/duel of autonomous-ai/openharness.
Open the folder on GitHubat commit 74c2733
Compare with similar skills
Jev Duel 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 |
|---|---|---|---|---|---|---|
| Jev Duel this skillautonomous-ai/openharness | 1.2k | — | ~554 | Automated safety check: Pass | MIT | |
| Image to Three.js Modelimg2threejs/img2threejs | 18k | 1 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 | |
| Web CloneJane-xiaoer/claude-skill-web-clone | 1k | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Threejs Game Directormajidmanzarpour/threejs-game-skills | 2.5k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Game Asset Generatorhtdt/godogen | 7.1k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Threejs Gameplay Systemsvalkor-ai/loom | 1.2k | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Jev Duel
What does Jev Duel do?
Stage and verify Jev-on-Jev Reversi duels in OpenHarness's viewer, where Jev plays both sides and a third Jev referees. Jev Duel is an agent skill from autonomous-ai/openharness. Stage and verify Jev-on-Jev Reversi duels in OpenHarness's viewer, where Jev plays both sides and a third Jev referees.
When should I use Jev Duel?
Jev Duel fits situations like: game Development work in your project.
How do I install Jev Duel in Claude Code?
Run `npx skills add autonomous-ai/openharness --skill jev-duel -a claude-code`. Or copy the skill folder (store/agents/jev-duel/skills/duel in autonomous-ai/openharness) into .claude/skills/jev-duel in your project. Claude Code loads it when a task matches its description.
How do I install Jev Duel in Codex?
Run `npx skills add autonomous-ai/openharness --skill jev-duel -a codex`. Or copy the skill folder (store/agents/jev-duel/skills/duel in autonomous-ai/openharness) into .agents/skills/jev-duel in your project. Codex loads it when a task matches its description.
Can I use Jev Duel 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-duel -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-duel, .gemini/skills/jev-duel, .github/skills/jev-duel and .opencode/skills/jev-duel in your project.
What does Jev Duel need to run?
Going by SKILL.md and its folder, Jev Duel 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 Duel 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 Duel 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 Duel use?
Jev Duel 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 Duel use?
About 554 tokens (SKILL.md is roughly 2.2k 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 Jev Duel?
Skills that share tags, products or a category with Jev Duel: Image to Three.js Model (img2threejs/img2threejs, 18k stars), Web Clone (Jane-xiaoer/claude-skill-web-clone, 1k stars), Threejs Game Director (majidmanzarpour/threejs-game-skills, 2.5k stars) and Game Asset Generator (htdt/godogen, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jev Duel?
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.