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building-with-typesafe-jev

Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.

Install / Use

npx skills add aaddrick/building-with-typesafe-jev

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

88/100

Supported Platforms

Claude Code
Gemini CLI
OpenAI Codex

Tags

Our assessment of building-with-typesafe-jev

building-with-typesafe-jev scores 88/100 on our quality scale, 278th of 762 AI & Machine Learning skills we index (top 37%).

Its SKILL.md is 17 KB long, well organised into 8 sections with 24 code examples: a thorough specification that gives an agent plenty to work with.

It has 69 GitHub stars, a meaningful sign that others use it.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
8/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so building-with-typesafe-jev is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review of the same text found nothing harmful.

  • noteInstalls by piping a downloaded script into a shellline 106
    curl -fsSL https://raw.githubusercontent.com/aaddrick/building-with-typesafe-jev/main/scripts/install_muse.sh | bash

AI review by kimi-k2.7-code on 2026-09-27. Automated pattern scan on 2026-09-27. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

building-with-typesafe-jev compared with similar skills

All 4 of these similar skills score higher than building-with-typesafe-jev; compare them before choosing.

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headroomby headroomlabs-ai10073.9ktodayCLAUDE.md
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Frequently asked questions

How do I install building-with-typesafe-jev?
Run npx skills add aaddrick/building-with-typesafe-jev. The install tabs above show the steps for each supported agent.
Which AI agents does building-with-typesafe-jev work with?
It is written for Claude Code, Gemini CLI and OpenAI Codex, as a SKILL.md file. Other agents that read the same format can often use it too.
Is building-with-typesafe-jev safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is building-with-typesafe-jev still maintained?
The repository was last updated today, so building-with-typesafe-jev is actively maintained.
<p align="center"> <strong>Building with TypeSafe Jev</strong><br> <em>Typed decisions with calibrated confidence, for your coding agent.</em><br> <em>Links to 150+ community projects, sorted by shape, with a code sketch for each.</em> </p> <p align="center"> <a href="LICENSE"><img src="https://img.shields.io/github/license/aaddrick/building-with-typesafe-jev?style=flat" alt="License"></a> <a href=".github/workflows/checks.yml"><img src="https://img.shields.io/github/actions/workflow/status/aaddrick/building-with-typesafe-jev/checks.yml?label=checks&style=flat" alt="Checks"></a> </p> <p align="center"> <a href="https://www.linkedin.com/in/aaddrick/">Connect on LinkedIn!</a> </p> <p align="center"> <strong>English</strong> · <a href=".github/readme/README.zh-CN.md">简体中文</a> · <a href=".github/readme/README.ja.md">日本語</a> · <a href=".github/readme/README.ko.md">한국어</a> · <a href=".github/readme/README.vi.md">Tiếng Việt</a> · <a href=".github/readme/README.pt-BR.md">Português (BR)</a> · <a href=".github/readme/README.it.md">Italiano</a> </p>

[!NOTE] This is an unofficial, community skill. It is not made, reviewed, or endorsed by TypeSafe AI. TypeSafe publishes its own skill at typesafe-ai/skills. See How this differs from the official skill.

Coding agents treat Jev like one more chat model. This skill teaches them to design for it: typed questions, calibrated confidence, and links to 150+ community projects, sorted by how they work, with a code sketch for each pattern. It installs in Claude Code, Codex, Antigravity CLI, Muse, and Muse Code.

Jev is a System One model. It does not write text. You send it content and a set of typed questions, and it answers each one with a value and a calibrated probability, usually in 100 to 200 ms:

  • Choice picks one option from a list. Example: route a ticket to billing, shipping, or support.
  • Score places the content on a scale you describe. Example: grade a pull request from "ignores the spec" to "meets the spec".
  • Noul gives the probability that a yes/no statement is true. Example: "this shell command deletes files outside the project."

Install

<details> <summary><strong>Claude Code</strong></summary>
claude plugin marketplace add aaddrick/building-with-typesafe-jev
claude plugin install building-with-typesafe-jev@building-with-typesafe-jev

The skill loads on its own when you work on Jev code. To load it by hand, type:

/building-with-typesafe-jev:building-with-typesafe-jev
</details> <details> <summary><strong>Codex</strong></summary>
codex plugin marketplace add aaddrick/building-with-typesafe-jev
codex plugin add building-with-typesafe-jev@building-with-typesafe-jev

Start a new thread. Codex loads the skill when the task matches. To load it by hand, type:

$building-with-typesafe-jev:building-with-typesafe-jev
</details> <details> <summary><strong>Antigravity CLI</strong></summary>
agy plugin install https://github.com/aaddrick/building-with-typesafe-jev

Check that it installed:

agy plugin list

Start a new session. Antigravity CLI loads the skill when the task matches. To load it by hand, type:

/building-with-typesafe-jev:building-with-typesafe-jev

Coming from Gemini CLI? If agy plugin import gemini brought this extension over, run the install command above anyway so the current copy replaces the imported one.

</details> <details> <summary><strong>Muse (muse.ai)</strong></summary>

Muse loads skills from ~/workspace/skills/ on its own computer. Paste this command into a Muse chat and ask Muse to run it:

curl -fsSL https://raw.githubusercontent.com/aaddrick/building-with-typesafe-jev/main/scripts/install_muse.sh | bash

The script copies the skill folder there and rewrites the SKILL.md header into the shape Muse reads. Start a new chat. Muse loads the skill when the task matches. To update, run the command again.

</details> <details> <summary><strong>Muse Code</strong></summary>

Clone the repository:

git clone https://github.com/aaddrick/building-with-typesafe-jev.git

Install the skill for every project:

muse skills install building-with-typesafe-jev/skills/building-with-typesafe-jev --scope user

Check that it installed:

muse skills list

Start a new session. Muse Code loads the skill when the task matches. To load it by hand, type:

/building-with-typesafe-jev
</details> <details> <summary><strong>Any other agent that reads SKILL.md</strong></summary>

Copy the skills/building-with-typesafe-jev/ folder into your agent's skills folder. Keep the whole folder. SKILL.md links to the files beside it.

</details>

Set up an API key (optional, recommended)

The skill works without a key. With TYPESAFE_API_KEY set in the agent's shell, the agent can check its design against the live API before the code reaches your project. That catches wrong field names, and questions Jev reads differently than you meant. Each call costs a fraction of a cent.

<details> <summary><strong>Create, store, and troubleshoot a key</strong></summary> <br> <details> <summary><strong>Create a key</strong> (four steps in the TypeSafe console)</summary>

Step 1. Sign in at console.typesafe.ai and open API Keys in the sidebar.

<img src=".github/assets/api-key/step-1.png" alt="The TypeSafe console home page. An amber box and arrow point at API Keys in the left sidebar." width="100%">

Step 2. Click Create key at the top right.

<img src=".github/assets/api-key/step-2.png" alt="The API keys page. Existing keys are blurred. An amber box and arrow point at the Create key button at the top right." width="100%">

Step 3. Name the key after where it will live, such as the machine or the agent. Then click Create key.

<img src=".github/assets/api-key/step-3.png" alt="The Create API key dialog with the name my-coding-agent typed in. An amber box and arrow point at the name field and the Create key button." width="100%">

Step 4. Copy the key now. The console shows it once. If you lose it, create a new one and revoke the old one.

<img src=".github/assets/api-key/step-4.png" alt="The API key created dialog. The key value is masked. An amber box and arrow point at the Copy button." width="100%"> </details> <details> <summary><strong>Store the key</strong> (macOS, Linux, Windows)</summary>

Keep the key in its own file, readable only by you, and export it as TYPESAFE_API_KEY. Agents often start shells without a terminal, so each section puts the key where those shells can see it. Pick your system.

<details> <summary><strong>macOS</strong> (zsh, the default shell)</summary>

Save the key to a private file:

mkdir -p ~/.config/typesafe && umask 077 && printf 'export TYPESAFE_API_KEY=%s\n' 'YOUR_KEY' > ~/.config/typesafe/env

Load it from ~/.zshenv. Every zsh reads that file, including shells that agents start without a terminal. ~/.zshrc is read only by interactive shells.

echo '[ -f ~/.config/typesafe/env ] && . ~/.config/typesafe/env' >> ~/.zshenv

Open a new terminal and check it. The command prints the length of the key, not the key:

echo ${#TYPESAFE_API_KEY}
</details> <details> <summary><strong>Linux with bash</strong> (Ubuntu, Debian, Mint, Fedora, Arch)</summary>

Save the key to a private file:

mkdir -p ~/.config/typesafe && umask 077 && printf 'export TYPESAFE_API_KEY=%s\n' 'YOUR_KEY' > ~/.config/typesafe/env

Load it from the top of ~/.bashrc. Ubuntu, Debian, Mint, and Arch start ~/.bashrc with a line that stops early when no terminal is attached. A line below that guard never runs for agent shells. The top of the file is safe on every distribution:

sed -i '1i [ -f ~/.config/typesafe/env ] \&\& . ~/.config/typesafe/env' ~/.bashrc

Open a new terminal and check it:

echo ${#TYPESAFE_API_KEY}
</details> <details> <summary><strong>Linux with zsh</strong></summary>

Follow the macOS steps. zsh reads ~/.zshenv the same way on Linux.

</details> <details> <summary><strong>Linux with fish</strong></summary>

fish reads every file in ~/.config/fish/conf.d/, with or without a terminal:

mkdir -p ~/.config/fish/conf.d; and echo 'set -gx TYPESAFE_API_KEY YOUR_KEY' > ~/.config/fish/conf.d/typesafe.fish; and chmod 600 ~/.config/fish/conf.d/typesafe.fish
string length -- $TYPESAFE_API_KEY
</details> <details> <summary><strong>Windows</strong> (PowerShell)</summary>

Store the key as a user environment variable. New terminals and apps see it. Terminals that are already open do not:

[Environment]::SetEnvironmentVariable('TYPESAFE_API_KEY', 'YOUR_KEY', 'User')

Open a new terminal and check it:

$env:TYPESAFE_API_KEY.Length

WSL: Windows variables do not reach WSL by default. Inside WSL, follow the Linux with bash steps.

</details> <details> <summary><strong>Desktop apps and IDE extensions</strong></summary>

An app you start from the dock, the start menu, or a desktop launcher does not read your shell files.

  • Windows: the user environment variable above already covers these apps.
  • Linux (systemd): add the line TYPESAFE_API_KEY=YOUR_KEY to ~/.config/environment.d/typesafe.conf, then log out and back in.
  • macOS: start the app from a terminal, or set the variable in the app's own settings. macOS has no simple per-user file that desktop apps read.
</details> </details> <details> <summary><strong>If the agent cannot see the key</strong></summary>

Ask the agent to run echo ${#TYPESAFE_API_KEY} (or $env:TYPESAFE_API_KEY.Length on Windows). If it prints 0 or nothing, check these in order:

  • You started the agent before you stored the key. Agent shells copy the environment of the program that started them. Quit the agent and start it from a new terminal.
  • You started the agent from the dock, the start menu, or an IDE. Those apps do not read your shell files. See "Desktop apps and IDE extensions" above.
  • Codex filters the environment. If ~/.codex/config.toml sets include_only under [shell_environment_policy], add TYPESAFE_API_KEY to it. If it sets ignore_default_excludes = false, Codex drops every variable with KEY in its name. Remove that line.
  • WSL. Windows variables do not reach WSL. Store the key inside WSL with the Linux steps.
</details> </details>

How it was tested

We gave a coding agent six Jev tasks, such as a support-ticket triage function and an approval gate for shell commands. Each task ran 10 times with this skill, with no skill, and with the official skill, each arm in its own isolated container. The agent had the docs but no API key, so graders checked the code it wrote. Checks that need judgment went to three LLM judges from three providers (Claude Opus, GPT-6 Sol, Kimi K3), and the majority decided.

| | No skill | This skill | Official skill | |---|---:|---:|---:| | Average score | 0.65 ± 0.05 | 0.96 ± 0.02 | 0.77 ± 0.04 |

Score is the share of checks passed, averaged over 10 runs per task.

Where the skill made the difference (runs out of 10 that passed):

| The agent's code... | No skill | This skill | Official skill | |---|---:|---:|---:| | counted in code, instead of asking Jev for a number | 1 | 8 | 0 | | named a field of the input in its questions | 0 | 10 | 1 | | pinned or logged the Jev model version | 0 | 10 | 0 | | gave the department list a catch-all option | 3 | 10 | 6 | | kept more than one path while walking 1,200 categories | 1 | 10 | 7 | | kept a plain-code backstop for destructive commands | 7 | 10 | 2 | | read score as a position from

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars69
CategoryAI
Updated5h ago
Forks4

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions