agentleFS
snuffishsnuffish/dotfiles/skills/manual-testing/SKILL.md

manual-testing

Skill0 starsChanged 5 days agoNo licenceView on GitHub

Writes a runnable manual test plan artifact (<prefix>-manual_test_plan-<suffix>.md) for the current branch, a PR or a work item — environment setup, blocking gotchas, test logins, seeded records, risk-ordered click-path scenarios with checkboxes, a regression watchlist and what cannot be tested by hand. Reads the PR description, linked work item and acceptance criteria first, finds the counterpart PR, then derives every scenario from the actual diff. `--seed-data` also creates the local records the scenarios need. Trigger on /manual-testing, "how do I try this out", "how do I test this branch/PR", "which credentials do I log in with", "what should I click to see this".

  • Reads credentials

8 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use bug-reporting.

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.
  • miovragSkill

    bug-reporting

    Load this skill whenever you are filing, reviewing, or generating accessibility bug reports — whether from automated tool output, manual testing, or AI agent scans. The purpose of this skill is to make accessibility errors easier to report accurately, so that developers can reproduce, understand, and fix them without additional back-and-forth. Absolutely always include the required fields (URL, XPath, HTML snippet, WCAG SC, rule ID, severity, frequency) in every report. Under no circumstances file a vague report that omits the failing element, the WCAG criterion, or the steps to reproduce.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 3 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 8 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

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

No licence file, so all rights are reserved — 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 8 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.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
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.