PBI Testing Changes

SkillAI & models

Use when creating or running model tests, applying test packs, capturing baselines or snapshots, exporting test results, checking dependency impact before a refactor, or using checkpoints, changesets, undo, redo, and rollback. For assessing overall model quality, use mcp-engine-model-quality; for authoring the changes themselves, use mcp-engine-schema-authoring or mcp-engine-semantic-authoring; for orchestrating a full multi-object refactor around these safety tools, use mcp-engine-refactoring.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the PBI Testing Changes skill

What this skill tells your AI

The instructions your AI receives, as published by maxanatsko/mcp-engine-public in skills/mcp-engine-testing-changes/SKILL.md and read by ahel’s review.

Proof that model changes are safe, reproducible, and reversible, through manage_tests, manage_model_changes, and manage_dependencies.

Preferred workflow

  1. Inspect what exists: manage_tests { "operation": "list" }; manage_model_changes { "operation": "list_checkpoints" } and { "operation": "list_transactions" }.
  2. Validate definitions before saving: manage_tests { "operation": "validate", "spec": { <complete test definition> } }, then save the same definition with { "operation": "put", "spec": { <same definition> } } — both operations require the definition (put takes spec or bulk items; payload shapes are in the unit-testing guide). Never save a large generated batch unvalidated.
  3. Run the smallest useful scope first: { "operation": "run", "spec": { "tags": [...] } } or { "operation": "run", "spec": { "test_ids": [...] } } before a full-suite run.
  4. Export when the user needs a shareable result: { "operation": "export", "spec": { "format": "markdown" } }, or export_tests for a portable definition bundle.
  5. Before broad edits, pin a rollback point: manage_model_changes { "operation": "pin_checkpoint", "name": "before-<edit>" } (name is required), or stage the batch as a changeset (create_changeset with a nameadd_to_changesetpreview_changesetapply_changeset, threading the returned changeset_id).

Branch by task

  • Test types, canonical payload shapes, packs, baselines, export: unit-testing-guide.
  • Checkpoints, changesets, transaction history, diff_transaction, rollback_transaction, undo/redo: model-changes-guide.
  • Impact before rename or delete: manage_dependencies { "operation": "used_by", "spec": { "target": { "type": "<type>", "table": "<table>", "name": "<name>" } } } (spec.target is required) — dependencies-guide. Use the output to narrow test scope after a planned change.

Guardrails

  • Preserve stable model identity behavior when work touches persisted tests or baselines.
  • Apply test packs with { "operation": "packs_apply", "spec": { "pack_id": "<pack>" }, "dry_run": true } first; apply for real only after reviewing the preview.
  • Pair risky edits with a checkpoint or changeset before, and a targeted test run after.

Report results

After testing or change-tracking work, report:

  1. Tests created, changed, or run, with pass/fail counts and the names of failing tests.
  2. Validation outcomes for saved definitions.
  3. Baselines or snapshots captured or compared.
  4. Checkpoint, changeset, or transaction ids available for rollback.

Signals

GitHub stars
256
Forks
65
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
mcp-engine-testing-changes
Source
github.com/maxanatsko/mcp-engine-public