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Agent skill

Jev Shopper

by autonomous-ai in autonomous-ai/openharness

Design and verify Jev's shop windows in OpenHarness's viewer, where Jev calls the best buy as prices stream in and spends on paper.

MITAuto-check passed

Install Jev Shopper

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

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

GitHub CLI
$ gh skill install autonomous-ai/openharness jev-shopper --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-shopper/skills/shopper .claude/skills/jev-shopper && 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-shopper
GitHub stars
1.2k
Token cost
~750 tokens
SKILL.md length
370 words
Files
1
Skills in repo
99
Repo updated
First seen
Licence
MIT

At a glance

Design and verify Jev's shop windows in OpenHarness's viewer, where Jev calls the best buy as prices stream in and spends on paper.

  • Works in 3 steps: Update shopper.json (title, products… → node "$JEV_DSH/toolchain/check.mjs"… → Watch the board. The top bar shows the…
  • SKILL.md covers The loop, Reading the shop, Verifying a shop and Driving Jev yourself
  • Calls node; needs TYPESAFE_API_KEY

What it does

Jev Shopper is an agent skill from autonomous-ai/openharness. Design and verify Jev's shop windows in OpenHarness's viewer, where Jev calls the best buy as prices stream in and spends on paper.

Its SKILL.md is about 750 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 shop windows in OpenHarness”
  • “/jev-shopper”

Requirements

  • A credential in TYPESAFE_API_KEY

Workflow steps

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

  1. Update shopper.json (title, products with price/drift, vol, tickMs, and a style line that
  2. node "$JEV_DSH/toolchain/check.mjs" verifies the workspace's shopper.json is valid. Run it
  3. Watch the board. The top bar shows the share of deal calls Jev got right and what its buys saved

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 Shopper loads about 750 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 370 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~750

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). 370 words, ~750 tokens.

Download SKILL.mdSave it as .claude/skills/jev-shopper/SKILL.md (or your agent's skills folder).
name
jev-shopper
description
Design and verify Jev's shop windows in OpenHarness's viewer, where Jev calls the best buy as prices stream in and spends on paper.

Jev Shopper shop design

Jev Shopper runs a live shop window: a few products stream price ticks and Jev (TypeSafe's System One model) reads the window each tick and calls the best buy — the product furthest below its own usual price — showing confidence and spending on paper when the signal is strong. The agent shapes shopper.json — the products, the price noise, the budget and the deal bar. The shop and its prices are made up.

The loop

  1. Update shopper.json (title, products with price/drift, vol, tickMs, and a style line that tells Jev a buying 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 shopper.json is valid. Run it before you call a shop done.
  3. Watch the board. The top bar shows the share of deal calls Jev got right and what its buys saved against the usual price. Does Jev buy real sales, or wobbles (little saved), or nothing (dull)? That observation is the finding.

Reading the shop

The viewer shows each product as a price card with a live chart, a spotlight on Jev's "best buy", a probability bar per product, purchase stamps, the budget left and receipts. Every product has a hidden fair price (list price, slow drift, now and then a real sale). Jev reads that price plus noise. vol is the noise and the difficulty dial: at 0.01 Jev's deal calls are right almost every time and buys save about 16%; at 0.15 wobbles pass for deals, calls are right about half the time and buys save about 3%.

Show full SKILL.md (104 more words)Show less

Verifying a shop

node "$JEV_DSH/toolchain/check.mjs" returns non-zero when shopper.json is invalid (no title, fewer than two products, a non-positive price, duplicate names, out-of-range vol, tickMs, cash, minDeal or drift, more than 8 products). It doesn't replace watching the calls: confirm Jev buys during real sales (tick "show the hidden fair price" in the pane to see them), and that turning vol up makes it buy wobbles instead.

Driving Jev yourself

toolchain/jev.mjs exports a small client. Example (from the workspace) — ask Jev's read on a window 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: "Pick the best value. Prices tick live: Espresso Machine: 240.62 (+2.1% over 6 ticks) vol 8% — Hiking Boots: 119.50 (-4.2% over 6 ticks) vol 8% — Desk Lamp: 45.00 (-3.1% over 6 ticks) vol 8%. Which is the best buy to act on now?",
  questions: {
    buy: jev.choice(["Espresso Machine", "Hiking Boots", "Desk Lamp"], "Which product is the best buy to act on right now?"),
  },
});
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-shopper/skills/shopper of autonomous-ai/openharness.

Open the folder on GitHubat commit 74c2733

Compare with similar skills

Jev Shopper 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 Shopper compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jev Shopper this skillautonomous-ai/openharness1.2k—~750Automated safety check: PassMIT
Shoppingasgeirtj/system_prompts_leaks69k—~3.7kAutomated safety check: PassCC0-1.0
Windows Desktop E2Eaffaan-m/ECC276k1 repos~7.6kAutomated safety check: PassMIT
Windows Desktop E2Eaffaan-m/ECC276k—~5.5kAutomated safety check: PassMIT
Shoppingcodewhale-hq/Codewhale41k—~265Automated safety check: PassMIT
Windows Hardeningsickn33/agentic-awesome-skills47k2 repos~4.4kAutomated safety check: PassMIT

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Questions about Jev Shopper

What does Jev Shopper do?

Design and verify Jev's shop windows in OpenHarness's viewer, where Jev calls the best buy as prices stream in and spends on paper. Jev Shopper is an agent skill from autonomous-ai/openharness. Design and verify Jev's shop windows in OpenHarness's viewer, where Jev calls the best buy as prices stream in and spends on paper.

How do I install Jev Shopper in Claude Code?

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

How do I install Jev Shopper in Codex?

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

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

What does Jev Shopper need to run?

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

Jev Shopper 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 Shopper use?

About 750 tokens (SKILL.md is roughly 3k 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 Shopper?

Skills that share tags, products or a category with Jev Shopper: Shopping (asgeirtj/system_prompts_leaks, 69k stars), Windows Desktop E2E (affaan-m/ECC, 276k stars), Windows Desktop E2E (affaan-m/ECC, 276k stars) and Shopping (codewhale-hq/Codewhale, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jev Shopper?

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.