Agent skill

Awesome Jev

by AbdelStark in AbdelStark/awesome-typesafe-jev

Discover and compare Jev and TypeSafe SDKs, integrations, applications, and evaluations.

MITAuto-check passed

Install Awesome Jev

skills CLI
$ npx skills add AbdelStark/awesome-typesafe-jev --skill awesome-jev -a claude-code

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

GitHub CLI
$ gh skill install AbdelStark/awesome-typesafe-jev awesome-jev --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/AbdelStark/awesome-typesafe-jev.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/awesome-jev .claude/skills/awesome-jev && 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
awesome-jev
GitHub stars
575
Token cost
~458 tokens
SKILL.md length
184 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Discover and compare Jev and TypeSafe SDKs, integrations, applications, and evaluations.

  • Works in 4 steps: Fetch the README for the introductory… → Filter categories[].resources[] by the… → Open the underlying sources for… → …
  • Selecting public resources for a typed-decision workflow
  • Reaches abdelstark.github.io
  • Checking what evidence exists for a Jev claim

What it does

Awesome Jev is an agent skill from AbdelStark/awesome-typesafe-jev. Discover and compare Jev and TypeSafe SDKs, integrations, applications, and evaluations. Use when selecting public resources for a typed-decision workflow or checking what evidence exists for a Jev claim.

Its SKILL.md is about 460 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: Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations. The licence is MIT.

When your agent uses it

  • Selecting public resources for a typed-decision workflow
  • Checking what evidence exists for a Jev claim

Example prompts

  • “/awesome-jev”

Workflow steps

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

  1. Fetch the README for the introductory guide, official resources, patterns, and research notes. Use the JSON directory for community…
  2. Filter categories[].resources[] by the user's task. Each entry has a name, url, description_markdown, and permalink. The project page URL…
  3. Open the underlying sources for promising entries. Check current functionality, maintenance, license, data flow, and evaluation evidence…
  4. Recommend the candidates that fit the user's criteria with a short reason, a material limitation, and direct links to the underlying…

What it can do on your machine

Read from SKILL.md and the folder at commit 95e8974. 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

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • abdelstark.github.io

    Also links to:

    • docs.typesafe.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Awesome Jev loads about 458 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 184 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~458

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 AbdelStark/awesome-typesafe-jev at commit 95e8974, republished under its MIT licence (© AbdelStark). 184 words, ~458 tokens.

Download SKILL.mdSave it as .claude/skills/awesome-jev/SKILL.md (or your agent's skills folder).
name
awesome-jev
description
Discover and compare Jev and TypeSafe SDKs, integrations, applications, and evaluations. Use when selecting public resources for a typed-decision workflow or checking what evidence exists for a Jev claim.
license
MIT

Awesome Jev

Use this independent community directory to find relevant sources. A listing is not an endorsement, a quality ranking, or evidence that a project works in production.

Find resources

  1. Fetch the README for the introductory guide, official resources, patterns, and research notes. Use the JSON directory for community projects. Its last_updated field records the editorial update date.
  2. Filter categories[].resources[] by the user's task. Each entry has a name, url, description_markdown, and permalink. The project page URL is https://abdelstark.github.io/awesome-typesafe-jev plus the permalink; the entry's url leads to the underlying source.
  3. Open the underlying sources for promising entries. Check current functionality, maintenance, license, data flow, and evaluation evidence against the user's requirements. For current Jev API behavior, consult the official documentation directly.
  4. Recommend the candidates that fit the user's criteria with a short reason, a material limitation, and direct links to the underlying sources. State when evidence or a relevant project is missing. Distinguish TypeSafe's own claims from independent findings.

If the user asks to add an entry, follow the repository's contribution guide and verify the candidate before editing the README.

© AbdelStark, 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 skills/awesome-jev of AbdelStark/awesome-typesafe-jev.

Open the folder on GitHubat commit 95e8974

Compare with similar skills

Awesome Jev 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.

Awesome Jev compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Awesome Jev this skillAbdelStark/awesome-typesafe-jev575—~458Automated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
Integration Testingthedaviddias/Front-End-Checklist74k—~514Automated safety check: PassMIT
LLM Evaluationdavila7/claude-code-templates32k12 repos~3.5kAutomated safety check: PassMIT
Agent Evaluation Reportingsickn33/agentic-awesome-skills47k1 repos~2.1kAutomated safety check: PassMIT
Integrate Context Maticgithub/awesome-copilot40k1 repos~1.6kAutomated safety check: NotesMIT

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  • Integration Testing

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  • Agent Evaluation Reporting

    sickn33/agentic-awesome-skills

    A skill your agent uses when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.

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  • Integrate Context Matic

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Questions about Awesome Jev

What does Awesome Jev do?

Discover and compare Jev and TypeSafe SDKs, integrations, applications, and evaluations. Awesome Jev is an agent skill from AbdelStark/awesome-typesafe-jev. Discover and compare Jev and TypeSafe SDKs, integrations, applications, and evaluations.

When should I use Awesome Jev?

Awesome Jev fits situations like: selecting public resources for a typed-decision workflow; checking what evidence exists for a Jev claim.

How do I install Awesome Jev in Claude Code?

Run `npx skills add AbdelStark/awesome-typesafe-jev --skill awesome-jev -a claude-code`. Or copy the skill folder (skills/awesome-jev in AbdelStark/awesome-typesafe-jev) into .claude/skills/awesome-jev in your project. Claude Code loads it when a task matches its description.

How do I install Awesome Jev in Codex?

Run `npx skills add AbdelStark/awesome-typesafe-jev --skill awesome-jev -a codex`. Or copy the skill folder (skills/awesome-jev in AbdelStark/awesome-typesafe-jev) into .agents/skills/awesome-jev in your project. Codex loads it when a task matches its description.

Can I use Awesome Jev 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 AbdelStark/awesome-typesafe-jev --skill awesome-jev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/awesome-jev, .gemini/skills/awesome-jev, .github/skills/awesome-jev and .opencode/skills/awesome-jev in your project.

What does Awesome Jev need to run?

SKILL.md names no scripts, command-line tools or credentials: Awesome Jev is instructions for the agent only.

Does Awesome Jev access the network?

SKILL.md names 2 domains. In commands or code: abdelstark.github.io; the agent is likely to contact it when it follows the instructions. As links in the text: docs.typesafe.ai. This is read from the text; nothing was executed.

Is Awesome Jev 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 Awesome Jev use?

Awesome Jev is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Awesome Jev use?

About 458 tokens (SKILL.md is roughly 1.8k 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 Awesome Jev?

Skills that share tags, products or a category with Awesome Jev: Arize Evaluator (github/awesome-copilot, 40k stars), Integration Testing (thedaviddias/Front-End-Checklist, 74k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars) and Agent Evaluation Reporting (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Awesome Jev?

AbdelStark (a GitHub user) maintains it in AbdelStark/awesome-typesafe-jev, which has 575 GitHub stars. The repository was last updated on October 6, 2026.

Source: AbdelStark/awesome-typesafe-jev on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.