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Agent skill

Jev Lander

by autonomous-ai in autonomous-ai/openharness

Design and verify Jev's landing missions in OpenHarness's viewer, where Jev is the flight computer throttling a booster down to a soft touchdown.

MITAuto-check passed

Install Jev Lander

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

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

GitHub CLI
$ gh skill install autonomous-ai/openharness jev-lander --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-lander/skills/lander .claude/skills/jev-lander && 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-lander
GitHub stars
1.1k
Token cost
~799 tokens
SKILL.md length
367 words
Files
1
Skills in repo
100
Repo updated
First seen
Licence
MIT

At a glance

Design and verify Jev's landing missions in OpenHarness's viewer, where Jev is the flight computer throttling a booster down to a soft touchdown.

  • Works in 3 steps: Update lander.json (title, gravity,… → node "$JEV_DSH/toolchain/check.mjs"… → Watch the descent. Does Jev burn early…
  • SKILL.md covers The loop, Reading the landing, Verifying a mission and Driving Jev yourself
  • Calls node; needs TYPESAFE_API_KEY

What it does

Jev Lander is an agent skill from autonomous-ai/openharness. Design and verify Jev's landing missions in OpenHarness's viewer, where Jev is the flight computer throttling a booster down to a soft touchdown.

Its SKILL.md is about 800 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 landing missions in OpenHarness”
  • “/jev-lander”

Requirements

  • A credential in TYPESAFE_API_KEY

Workflow steps

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

  1. Update lander.json (title, gravity, fuel, altitude, a style line that tells Jev a landing
  2. node "$JEV_DSH/toolchain/check.mjs" verifies the workspace's lander.json is valid. Run it
  3. Watch the descent. Does Jev burn early and hard enough to keep descent in check, flare low, and

What it can do on your machine

Read from SKILL.md and the folder at commit 50da5db. 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 Lander loads about 799 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 367 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~799

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 50da5db, republished under its MIT licence (© autonomous-ai). 367 words, ~799 tokens.

Download SKILL.mdSave it as .claude/skills/jev-lander/SKILL.md (or your agent's skills folder).
name
jev-lander
description
Design and verify Jev's landing missions in OpenHarness's viewer, where Jev is the flight computer throttling a booster down to a soft touchdown.

Jev Lander landing design

Jev Lander runs a live landing: a booster falls out of the sky under gravity and Jev (TypeSafe's System One model) reads the telemetry each tick and sets a throttle — CUT, COAST, HOVER or BURN — to bring it down soft. The agent shapes lander.json: the gravity, the fuel budget, and the launch height.

The loop

  1. Update lander.json (title, gravity, fuel, altitude, a style line that tells Jev a landing strategy). The viewer watches it and Jev adapts live — no restart, no second server.
  2. node "$JEV_DSH/toolchain/check.mjs" verifies the workspace's lander.json is valid. Run it before you call a mission done.
  3. Watch the descent. Does Jev burn early and hard enough to keep descent in check, flare low, and touch down soft — or hover forever (dull) or slam in even at easy gravity (bad)? That observation is the finding.

Reading the landing

The viewer shows a booster coming down at night: a flame that scales with the throttle, smoke and dust, landing legs, a velocity arrow, the height full burn needs to stop it, a fuel tank that drains, and Jev's throttle gauge with four segments filled by probability. A flight ends in SOFT LANDING or CRASHED, and the next booster drops on its own. Good missions produce a readable loop: Jev lets it fall, burns to check the fall, eases off low, and lands soft. gravity is the difficulty dial: the higher it is, the less the engine can brake and the more fuel the descent costs, until the tank runs dry above the pad.

Show full SKILL.md (106 more words)Show less

Verifying a mission

node "$JEV_DSH/toolchain/check.mjs" returns non-zero when lander.json is invalid (no title, or a value outside its range, for example gravity 0.1..5, fuel 5..2000, tickMs 30..2000). It also prints how much the engine can brake at that gravity. It doesn't replace watching the descent: confirm Jev reads the telemetry and touches down soft at the gravity you set, and that cranking gravity up makes it visibly crash.

Driving Jev yourself

toolchain/jev.mjs exports a small client. Example (from the workspace) — ask Jev's read on a mission profile 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: "The booster is falling under gravity. Bring it down to the pad gently: burn early and hard enough to keep descent in check, and ease off so you touch down soft. Telemetry:\nALT 34.2 VY -2.4 G 2.50 FUEL 62% (37 units)\nthrottle, upward push per tick: CUT 0.00, COAST 0.40, HOVER 1.15, BURN 2.60. Each burns that much fuel per tick.\ntouchdown is soft at speed 2.0 or less.\nengine: OK\nWhich throttle do you set for this tick? CUT / COAST / HOVER / BURN",
  questions: {
    thrust: jev.choice(["CUT", "COAST", "HOVER", "BURN"], "Which throttle do you set for this tick?"),
  },
});
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-lander/skills/lander of autonomous-ai/openharness.

Open the folder on GitHubat commit 50da5db

Compare with similar skills

Jev Lander 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 Lander compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jev Lander this skillautonomous-ai/openharness1.1k—~799Automated safety check: PassMIT
Landingalirezarezvani/claude-skills28k—~3.8kAutomated safety check: PassMIT
Landing Page Conversion Auditgithub/awesome-copilot40k1 repos~1.8kAutomated safety check: PassMIT
SEO Aeo Landing Page Writersickn33/agentic-awesome-skills47k1 repos~1.5kAutomated safety check: PassMIT
Ads LandingAgriciDaniel/claude-ads9.8k—~612Automated safety check: PassMIT
Developing PDF ViewerTriliumNext/Trilium38k—~1.8kAutomated safety check: PassAGPL-3.0

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Questions about Jev Lander

What does Jev Lander do?

Design and verify Jev's landing missions in OpenHarness's viewer, where Jev is the flight computer throttling a booster down to a soft touchdown. Jev Lander is an agent skill from autonomous-ai/openharness. Design and verify Jev's landing missions in OpenHarness's viewer, where Jev is the flight computer throttling a booster down to a soft touchdown.

How do I install Jev Lander in Claude Code?

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

How do I install Jev Lander in Codex?

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

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

What does Jev Lander need to run?

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

Jev Lander 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 Lander use?

About 799 tokens (SKILL.md is roughly 3.2k 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 Lander?

Skills that share tags, products or a category with Jev Lander: Landing (alirezarezvani/claude-skills, 28k stars), Landing Page Conversion Audit (github/awesome-copilot, 40k stars), SEO Aeo Landing Page Writer (sickn33/agentic-awesome-skills, 47k stars) and Ads Landing (AgriciDaniel/claude-ads, 9.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jev Lander?

autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,149 GitHub stars. The repository holds 100 skills in this directory. The repository was last updated on October 8, 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.