Formalize acceptance testing by generating hypotheses and evidence bundles for PR changes.
npx skills add https://github.com/guardian-intelligence/apm2 --skill aat
Please help me install this Agent Skill. Skill: aat Source: https://github.com/guardian-intelligence/apm2/tree/main/documents/skills/aat Command: npx skills add https://github.com/guardian-intelligence/apm2 --skill aat
This skill standardizes the PR acceptance process by enabling teams to specify hypotheses, perform structured verifications, and prevent merges that do not meet predefined criteria.
Activate the AAT protocol against a pull request, define hypotheses, run verification on the PR changes, and generate the evidence bundle to guide the merge decision.
High-intent search queries and answers about installing and using this skill.
Acceptance testing for pull request verification involves creating testable hypotheses about PR changes, executing structured validation steps, and generating an evidence bundle to support the merge decision. This ensures changes meet predefined criteria under varying inputs.
Hypothesis-driven PR validation is a structured acceptance testing method where you formulate testable predictions about code changes, run deterministic verification against those hypotheses, and produce an evidence bundle of outcomes for auditability and QA governance.
To prevent hardcoded values from passing PR verification, apply anti-gaming static analysis checks during acceptance testing. These checks detect inconsistencies, hidden pitfalls, and artificial test pass conditions to ensure PR integrity before merging.
Generate an evidence bundle for QA governance by running structured hypothesis verification on PR changes, which automatically captures outcomes, timestamps, and deterministic test results into a reproducible audit report for merge decision support.
Hypothesis-driven acceptance testing is highly effective for large pull requests. The protocol guides testers to systematically craft hypotheses, execute verification steps across varying inputs, and generate a reproducible evidence report to manage complexity.
The best way to standardize PR acceptance criteria is implementing a hypothesis-driven validation protocol that enforces structured verification, automated evidence-bundle production, and anti-gaming checks aligned with your team's QA governance standards.
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