PBI Testing Changes
SkillAI & modelsUse 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.
No other account needed.
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
- Inspect what exists:
manage_tests{ "operation": "list" };manage_model_changes{ "operation": "list_checkpoints" }and{ "operation": "list_transactions" }. - 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 (puttakesspecor bulkitems; payload shapes are in the unit-testing guide). Never save a large generated batch unvalidated. - Run the smallest useful scope first:
{ "operation": "run", "spec": { "tags": [...] } }or{ "operation": "run", "spec": { "test_ids": [...] } }before a full-suite run. - Export when the user needs a shareable result:
{ "operation": "export", "spec": { "format": "markdown" } }, orexport_testsfor a portable definition bundle. - Before broad edits, pin a rollback point:
manage_model_changes{ "operation": "pin_checkpoint", "name": "before-<edit>" }(nameis required), or stage the batch as a changeset (create_changesetwith aname→add_to_changeset→preview_changeset→apply_changeset, threading the returnedchangeset_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.targetis 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:
- Tests created, changed, or run, with pass/fail counts and the names of failing tests.
- Validation outcomes for saved definitions.
- Baselines or snapshots captured or compared.
- Checkpoint, changeset, or transaction ids available for rollback.
Signals
- GitHub stars
- 256
- Forks
- 65
- Last commit
- Aug 2026
Advanced
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mcp-engine-testing-changes- Source
- github.com/maxanatsko/mcp-engine-public