agentleFS
Agenta-AIAgenta-AI/agenta/.agents/skills/test-design/SKILL.md

test-design

Skill4.9k starsChanged 4 months agoLicence not identifiedView on GitHub

Decide what to test and how to write the tests for a frontend change. Use before you write or review unit tests for web/mobile or the @agenta/* packages, when you fix a bug and add a regression test, and before you say a change is tested. Gives the risk list, the rules for each test, and the mutation check.

18 other projects use a version of this.

Adopted by

Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data

Week of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projectsWeek of Oct 25: 0 new projectsWeek of Nov 1: 0 new projects
Sep 2026Oct 2026Nov 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 0 in all, so this is a hint, not a trend.

Most recently taken up by

Who's talking about Agenta-AI/agenta

The biggest 5 of 53 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 53

Talked about on GitHub and Bluesky (53 times).

On GitHub · 50

45 more on GitHub

Used with

Projects with it also use diff-review.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • MidnightDarlingSkill

    diff-review

    使用场景:按 raw.review.md 清单改完稿后,对 raw.md(OCR 原始)和 final.md(定稿)做对比。说"看我改了哪些""对比一下""diff""校对完了让我看看""我到底接受了哪些建议""我漏改了啥""改动统计""核对一下改动""闭环检查"都走这个 skill。生成段落级 HTML diff,关联 raw.review.md 的 A/B/C 标注,一目了然:接受了哪些 agent 建议、拒绝了哪些、清单外修正了哪些、agent 标过但漏改了哪些。主动触发,不必等用户说 "diff-review"。

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

10 rules. 0 are common, 8 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 12 edited versions we read keep these.

  • 8

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 12 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.