Agent skill

Acceptance Pipeline Catalog

by pproenca in pproenca/dot-skills

A skill your agent uses when implementing, reviewing, or debugging a Gherkin acceptance-test pipeline with mutation testing.

MITAuto-check passedTesting & QA

Install Acceptance Pipeline Catalog

skills CLI
$ npx skills add pproenca/dot-skills --skill acceptance-pipeline-catalog -a claude-code

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

GitHub CLI
$ gh skill install pproenca/dot-skills acceptance-pipeline-catalog --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/pproenca/dot-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.experimental/acceptance-pipeline-catalog .claude/skills/acceptance-pipeline-catalog && 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
acceptance-pipeline-catalog
GitHub stars
215
Token cost
~2.2k tokens
SKILL.md length
665 words
Files
56 (incl. references)
Skills in repo
41
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when implementing, reviewing, or debugging a Gherkin acceptance-test pipeline with mutation testing.

  • Works in 12 steps: Parser (CRITICAL) → JSON IR (CRITICAL) → Generator (CRITICAL) → …
  • Debugging a Gherkin acceptance-test pipeline with mutation testing
  • SKILL.md covers When to Apply, Pipeline Overview, Rule Categories by Priority and Quick Reference, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Acceptance Pipeline Catalog is an agent skill from pproenca/dot-skills. Use when implementing, reviewing, or debugging a Gherkin acceptance-test pipeline with mutation testing. Covers parser, JSON IR, generator, runtime, step handlers, test runner, mutator, value mutation rules, execution, result classification, reporting, project layout, conformance, and agent setup. Based on Uncle Bob's Acceptance Pipeline Specification. Trigger even when the user mentions Gherkin parsing, acceptance test generation, mutation testing for acceptance tests, or building a portable test pipeline.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 56 other files, including reference files (for example `gotchas.md`, `metadata.json` and `references/_sections.md`).

It sits in Testing & QA, covering End-to-end testing and Test coverage. The repository describes itself as: A collection of AI agent skills following the Agent Skills open format. The licence is MIT.

When your agent uses it

  • Debugging a Gherkin acceptance-test pipeline with mutation testing
  • Even when the user mentions Gherkin parsing
  • Acceptance test generation
  • Mutation testing for acceptance tests

Example prompts

  • “/acceptance-pipeline-catalog”

Workflow steps

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

  1. Parser (CRITICAL)
  2. JSON IR (CRITICAL)
  3. Generator (CRITICAL)
  4. Runtime (HIGH)
  5. Step Handlers (HIGH)
  6. Test Runner (HIGH)
  7. Mutator Core (HIGH)
  8. Value Mutation Rules (HIGH)
  9. Result Classification (HIGH)
  10. Conformance (HIGH)
  11. Agent Setup (HIGH)
  12. Mutation Execution (MEDIUM)

What it can do on your machine

Read from SKILL.md and the folder at commit cf93c57. 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

    No URLs in SKILL.md.

    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

Acceptance Pipeline Catalog loads about 2.2k tokens when it runs, and up to ~38k if it reads all its reference files. Until then it costs about 135 tokens; SKILL.md has 665 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~135
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~38k

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 pproenca/dot-skills at commit cf93c57, republished under its MIT licence (© pproenca). 665 words, ~2,229 tokens.

Download SKILL.mdSave it as .claude/skills/acceptance-pipeline-catalog/SKILL.md (or your agent's skills folder). This skill also uses 55 other files; get the full folder from GitHub.
name
acceptance-pipeline-catalog
description
Use when implementing, reviewing, or debugging a Gherkin acceptance-test pipeline with mutation testing. Covers parser, JSON IR, generator, runtime, step handlers, test runner, mutator, value mutation rules, execution, result classification, reporting, project layout, conformance, and agent setup. Based on Uncle Bob's Acceptance Pipeline Specification. Trigger even when the user mentions Gherkin parsing, acceptance test generation, mutation testing for acceptance tests, or building a portable test pipeline.

Robert C. Martin Acceptance Pipeline Best Practices

Language-neutral specification for a portable acceptance-test pipeline: Gherkin feature files to JSON IR to generated acceptance tests to mutation testing. Based on Robert C. Martin's Acceptance Pipeline Specification. Contains ~50 rules across 14 categories, prioritized by impact.

When to Apply

Reference these rules when:

  • Building a Gherkin parser that outputs JSON IR
  • Implementing an acceptance test generator from JSON IR
  • Writing an acceptance runtime that expands scenarios and dispatches steps
  • Implementing mutation testing for acceptance test example values
  • Setting up the full pipeline (parser, generator, runner, mutator) in a new project
  • Debugging pipeline failures (parse errors, generation issues, mutation classification)

Pipeline Overview

The pipeline has two modes:

Normal acceptance run:

feature file -> gherkin parser -> JSON IR -> acceptance generator -> generated tests -> test runner

Mutation run:

feature file -> gherkin parser -> base JSON IR -> mutator (one changed IR per mutation)
  -> generator (tests per mutation) -> test runner (evaluate each) -> mutation report

The normal run proves the project satisfies the feature. The mutation run probes whether tests are strong enough to fail when example data changes.

Rule Categories by Priority

PriorityCategoryImpactPrefixRules
1ParserCRITICALparser-9
2JSON IRCRITICALir-4
3GeneratorCRITICALgen-2
4RuntimeHIGHrt-3
5Step HandlersHIGHhandler-4
6Test RunnerHIGHrunner-2
7Mutator CoreHIGHmut-4
8Value Mutation RulesHIGHval-10
9Result ClassificationHIGHresult-2
10ConformanceHIGHconform-1
11Agent SetupHIGHsetup-1
12Mutation ExecutionMEDIUMexec-4
13ReportsMEDIUMreport-3
14Project LayoutMEDIUMlayout-3

Quick Reference

1. Parser (CRITICAL)
2. JSON IR (CRITICAL)
3. Generator (CRITICAL)
4. Runtime (HIGH)
5. Step Handlers (HIGH)
Show full SKILL.md (272 more words)Show less
6. Test Runner (HIGH)
7. Mutator Core (HIGH)
8. Value Mutation Rules (HIGH)
9. Result Classification (HIGH)
10. Conformance (HIGH)
11. Agent Setup (HIGH)
12. Mutation Execution (MEDIUM)
13. Reports (MEDIUM)
14. Project Layout (MEDIUM)

How to Use

Read individual reference files for detailed spec requirements and rationale:

  • Start with the category relevant to the component you are building
  • Each rule file is self-contained with WHY explanations, spec requirements, and examples
  • For a new project setup, read setup-checklist first
  • For validation, use conform-checklist
  • Check gotchas.md for known failure points

Reference Files

FileDescription
metadata.jsonVersion and reference information
gotchas.mdKnown failure points (append-only)
references/All rule files organized by prefix

© pproenca, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 55 other files (references) in skills/.experimental/acceptance-pipeline-catalog of pproenca/dot-skills.

  • SKILL.md
  • gotchas.md
  • metadata.json
  • references/_sections.md
  • references/conform-checklist.md
  • references/exec-parallelism.md
  • references/exec-timeout.md
  • references/exec-work-directory.md
  • references/exec-workflow.md
  • references/gen-command-interface.md
  • references/gen-requirements.md
  • references/handler-matching.md
  • references/handler-unsupported.md
  • references/handler-value-handling.md
  • references/handler-world-state.md
  • references/ir-example-object.md
  • references/ir-feature-object.md
  • references/ir-scenario-object.md
  • references/ir-step-object.md
  • references/layout-commands.md
  • … and 36 more

Open the folder on GitHubat commit cf93c57

Compare with similar skills

Acceptance Pipeline Catalog 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.

Acceptance Pipeline Catalog compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Acceptance Pipeline Catalog this skillpproenca/dot-skills215—~2.2kAutomated safety check: PassMIT
Atdd Mutateswingerman/engineer154—~2.7kAutomated safety check: PassMIT
E2E Test ThinkerUniClipboard/UniClipboard1.9k—~1.7kAutomated safety check: PassAGPL-3.0
Check Test Coverageopenshift/oc-mirror124—~853Automated safety check: PassApache-2.0
E2E Test Creatorletehaha/moneymatter160—~2.4kAutomated safety check: WarnAGPL-3.0
Platform Dsar Policy Manageforcedotcom/sf-skills1.1k—~5.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Acceptance Pipeline Catalog

What does Acceptance Pipeline Catalog do?

A skill your agent uses when implementing, reviewing, or debugging a Gherkin acceptance-test pipeline with mutation testing. Acceptance Pipeline Catalog is an agent skill from pproenca/dot-skills. Use when implementing, reviewing, or debugging a Gherkin acceptance-test pipeline with mutation testing.

When should I use Acceptance Pipeline Catalog?

Acceptance Pipeline Catalog fits situations like: debugging a Gherkin acceptance-test pipeline with mutation testing; even when the user mentions Gherkin parsing; acceptance test generation; mutation testing for acceptance tests.

How do I install Acceptance Pipeline Catalog in Claude Code?

Run `npx skills add pproenca/dot-skills --skill acceptance-pipeline-catalog -a claude-code`. Or copy the skill folder (skills/.experimental/acceptance-pipeline-catalog in pproenca/dot-skills) into .claude/skills/acceptance-pipeline-catalog in your project. Claude Code loads it when a task matches its description.

How do I install Acceptance Pipeline Catalog in Codex?

Run `npx skills add pproenca/dot-skills --skill acceptance-pipeline-catalog -a codex`. Or copy the skill folder (skills/.experimental/acceptance-pipeline-catalog in pproenca/dot-skills) into .agents/skills/acceptance-pipeline-catalog in your project. Codex loads it when a task matches its description.

Can I use Acceptance Pipeline Catalog 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 pproenca/dot-skills --skill acceptance-pipeline-catalog -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/acceptance-pipeline-catalog, .gemini/skills/acceptance-pipeline-catalog, .github/skills/acceptance-pipeline-catalog and .opencode/skills/acceptance-pipeline-catalog in your project.

What does Acceptance Pipeline Catalog need to run?

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

Does Acceptance Pipeline Catalog access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Acceptance Pipeline Catalog 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 Acceptance Pipeline Catalog use?

Acceptance Pipeline Catalog is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Acceptance Pipeline Catalog use?

About 2.2k tokens (SKILL.md is roughly 8.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 36k tokens, read only when the agent opens those files.

What are the alternatives to Acceptance Pipeline Catalog?

Skills that share tags, products or a category with Acceptance Pipeline Catalog: Atdd Mutate (swingerman/engineer, 154 stars), E2E Test Thinker (UniClipboard/UniClipboard, 1.9k stars), Check Test Coverage (openshift/oc-mirror, 124 stars) and E2E Test Creator (letehaha/moneymatter, 160 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Acceptance Pipeline Catalog?

pproenca (a GitHub user) maintains it in pproenca/dot-skills, which has 215 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on August 15, 2026.

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