acceptance-pipeline-catalog

acceptance-pipeline-catalog is a skill for Claude Code, Codex from pproenca/dot-skills. It costs 103 tokens per session (2,133 once invoked), scanned A, original, MIT.

A set of rules for building and checking acceptance-test pipelines. It covers turning Gherkin feature files—plain-language descriptions of behavior—into runnable tests, then changing example values to see whether the tests catch faults.

In plain words
What is it for?
Use it when building or reviewing a Gherkin parser, test generator, acceptance-test runner, step handlers, mutation tester, or the project structure that connects them.
Why use it?
It gives developers a shared reference for designing, debugging, and checking each stage of the pipeline. This helps locate failures in parsing, test generation, execution, mutation testing, or result reporting.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when building or reviewing a Gherkin parser, test generator, acceptance-test runner, step handlers, mutation tester, or the project structure that connects them.

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Install with agentmods
npx agentmods add skills/pproenca/dot-skills/acceptance-pipeline-catalog
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add pproenca/dot-skills --skill acceptance-pipeline-catalog
Clone the repo
git clone --depth 1 https://github.com/pproenca/dot-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for acceptance-pipeline-catalog

README.md
[![agentmods](https://agentmods.dev/badge/skills/pproenca/dot-skills/acceptance-pipeline-catalog/github.svg)](https://agentmods.dev/skills/pproenca/dot-skills/acceptance-pipeline-catalog)
Your own site
<a href="https://agentmods.dev/skills/pproenca/dot-skills/acceptance-pipeline-catalog"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/acceptance-pipeline-catalog/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for acceptance-pipeline-catalog

Your own site · 80×15
<a href="https://agentmods.dev/skills/pproenca/dot-skills/acceptance-pipeline-catalog"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/acceptance-pipeline-catalog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,133 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.02133
Opus 5 $0.00051 $0.01066
Sonnet 5 $0.00021 $0.00427
Haiku 4.5 $0.00010 $0.00213

Measured 9d ago against content hash c845bac02994, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

acceptance-pipeline-catalog scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/.experimental/acceptance-pipeline-catalog/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Priority Category Impact Prefix Rules
1 Parser CRITICAL parser- 9
2 JSON IR CRITICAL ir- 4
3 Generator CRITICAL gen- 2
4 Runtime HIGH rt- 3
5 Step Handlers HIGH handler- 4
6 Test Runner HIGH runner- 2
7 Mutator Core HIGH mut- 4
8 Value Mutation Rules HIGH val- 10
9 Result Classification HIGH result- 2
10 Conformance HIGH conform- 1
11 Agent Setup HIGH setup- 1
12 Mutation Execution MEDIUM exec- 4
13 Reports MEDIUM report- 3
14 Project Layout MEDIUM layout- 3

Read the full file on GitHub · 169 lines

Files

What ships with it

55 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 169 lines · 103 tokens per session scan A c845bac02994

Subscribe to this mod's changes

acceptance-pipeline-catalog is a skill published in the GitHub repository pproenca/dot-skills (205 stars, last pushed 24d ago), licensed MIT. It adds 103 tokens to every session and 2,133 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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