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Agent skill

Jev Curation

by yibie in yibie/awesome-jev

Maintains the awesome-jev list by applying strict inclusion rules, sorting evidence into category pages and rebuilding the README from them.

No licenceAuto-check passedKnowledge Management

Install Jev Curation

skills CLI
$ npx skills add yibie/awesome-jev --skill jev-curation -a claude-code

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

GitHub CLI
$ gh skill install yibie/awesome-jev jev-curation --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/yibie/awesome-jev.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/jev-curation .claude/skills/jev-curation && 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-curation
GitHub stars
2.2k
Token cost
~3.7k tokens
SKILL.md length
2,010 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

Maintains the awesome-jev list by applying strict inclusion rules, sorting evidence into category pages and rebuilding the README from them.

  • Works in 4 steps: Search broadly, classify narrowly → Keep queries simple → Industrial and physical-world channels → …
  • Adding a new Jev project or case to the awesome list
  • SKILL.md covers Goal, Source of truth, Hard inclusion rules and Category model, plus 10 more sections
  • Calls gh, python3 and git

What it does

The skill keeps `awesome-jev` a strict list of public projects and practices built on Jev, TypeSafe AI's typed-decision model with Choice, Score and Boolean answers that carry confidence. Before any change the agent reads `README.md`, `CONTRIBUTING.md`, `tags.json` and every file under `categories/`, edits the category files first and regenerates the README with `scripts/build-readme.py` instead of editing it by hand.

Entries must name Jev, cite TypeSafe AI's System One models or clearly implement a typed-decision loop, and they need a public source, a concrete one-sentence description and strict Jev relevance. Generic classifiers, routers, launch-hype commentary and private claims are rejected. Stronger evidence such as repos, project pages, write-ups and benchmark results goes on the main category pages, while X threads, Reddit and Hacker News discussions, interviews and blog mentions go to `categories/related-practices-discussions.md`. New tag values need an evidence rule in `scripts/audit-tags.py`. The excerpt is cut off in the category model section.

When your agent uses it

  • Adding a new Jev project or case to the awesome list
  • Collecting discussion evidence from X, Reddit, Hacker News or blogs
  • Refreshing README counts after category files change

Example prompts

  • “Add this open-source decision router to awesome-jev if it meets the Jev inclusion rules.”
  • “Promote the strongest items in the related-practices discussions file into a main category.”
  • “Rebuild the README from the category files and run the tag audit.”

Requirements

  • A checkout of the awesome-jev repository with its Python scripts

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Search broadly, classify narrowly
  2. Keep queries simple
  3. Industrial and physical-world channels
  4. Chinese + English

What it can do on your machine

Read from SKILL.md and the folder at commit 7fce0f1. 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:

    • gh
    • python3
    • git

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

  • Network

    No URLs in SKILL.md. Its commands use gh and git, which can reach the network depending on how they are called.

    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

Jev Curation loads about 3.7k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 2,010 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 2,010 words (~3,744 tokens).

“Use this skill to maintain awesome-jev as a strict, high-signal list of projects and practices built on Jev.”

— opening of SKILL.md by yibie
name
jev-curation

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/jev-curation of yibie/awesome-jev.

Open the folder on GitHubat commit 7fce0f1

Compare with similar skills

Jev Curation 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 Curation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jev Curation this skillyibie/awesome-jev2.2k—~3.7kAutomated safety check: PassNone
Maintain DisCatSharpAiko-IT-Systems/DisCatSharp140—~1.2kAutomated safety check: PassMIT
Create Readmeelithrar/dotfiles202—~748Automated safety check: PassMIT
GitHub Repojdevalk/skills105—~1.5kAutomated safety check: PassMIT
Repo Docsaiskillstore/marketplace430—~2.3kAutomated safety check: PassNone
Contributing Guide Creatorjeremylongshore/tons-of-skills-marketplace2.8k—~602Automated safety check: PassMIT

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Categories

Questions about Jev Curation

What does Jev Curation do?

Maintains the awesome-jev list by applying strict inclusion rules, sorting evidence into category pages and rebuilding the README from them. The skill keeps `awesome-jev` a strict list of public projects and practices built on Jev, TypeSafe AI's typed-decision model with Choice, Score and Boolean answers that carry confidence.py` instead of editing it by hand.

When should I use Jev Curation?

Jev Curation fits situations like: adding a new Jev project or case to the awesome list; collecting discussion evidence from X, Reddit, Hacker News or blogs; refreshing README counts after category files change.

How do I install Jev Curation in Claude Code?

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

How do I install Jev Curation in Codex?

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

Can I use Jev Curation 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 yibie/awesome-jev --skill jev-curation -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-curation, .gemini/skills/jev-curation, .github/skills/jev-curation and .opencode/skills/jev-curation in your project.

What does Jev Curation need to run?

Going by SKILL.md and its folder, Jev Curation needs the command-line tools its instructions call (gh, python3 and git). Our summary lists: A checkout of the awesome-jev repository with its Python scripts.

Does Jev Curation access the network?

SKILL.md contains no URLs. Its commands use gh and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Jev Curation 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 Curation use?

No licence was found for Jev Curation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Jev Curation use?

About 3.7k tokens (SKILL.md is roughly 15k 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 Curation?

Skills that share tags, products or a category with Jev Curation: Maintain DisCatSharp (Aiko-IT-Systems/DisCatSharp, 140 stars), Create Readme (elithrar/dotfiles, 202 stars), GitHub Repo (jdevalk/skills, 105 stars) and Repo Docs (aiskillstore/marketplace, 430 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jev Curation?

yibie (a GitHub user) maintains it in yibie/awesome-jev, which has 2,235 GitHub stars. The repository was last updated on October 8, 2026.

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