audit-lab-functionalities

Testing & Quality

Audit a Lab (MVE or Project) to identify missing user-facing functionalities — setup, infrastructure, execution methods, debugging, testing, validation and clean up. Use when asked to find what a Lab is missing, check Lab completeness, or compare a Lab against the functionality matrix. Produces a status matrix, a prioritized gap list and an actionable task list.

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Audit Lab Functionalities

Identify which user-facing functionalities a Lab is missing and report them in a consumable format (status matrix + gaps + task list).

A "functionality" is an option the user has to: bring up infrastructure, auto-install tools/deps via setup.sh, execute the Lab (multiple methods), debug it (multiple scenarios), test every part, validate results (multiple tools), and clean up.

Inputs

Lab path: src/[provider]/[mves|projects]/[name].
Its docs: docs/src/content/docs/[provider]/[mves|projects]/[name].mdx (EN) and the es/ counterpart.
Its global integration test dir: tests/[provider]/[mves|projects]/[name]/.

References to read first

.claude/rules/example-structure.md — required files/scripts per Lab.
.claude/rules/docs-style-guide.md — required doc sections and their order.
.claude/rules/tests-style-guide.md — local and global test conventions.

The Functionality Matrix (primary guide)

This matrix — not a twin Lab — is the source of truth for completeness. A twin Lab (same service, e.g. s3-minio for s3-garage) is only a convenience for near-1:1 copying when one exists; most Labs have no twin, so audit against the matrix directly.

The matrix is extensible: when a new common functionality is identified across Labs, add a row here.

#	Functionality	Signal in `src/`	Signal in `docs/`
1	Setup — Dev Container	`.devcontainer/devcontainer.json` with `dockerComposeFile` + `postCreateCommand: scripts/setup.sh`	Tab "Dev Container (recommended)" in How to execute
2	Setup — Manual (mise)	`scripts/setup.sh` installing mise + `mise.toml` with a complete `setup` task	Tab "Manually"
3	Infrastructure	`docker-compose.yml` (or SAM/firebase equivalent)	Step "Start Infrastructure"/"Start Host"
4	Execution — multiple methods	`scripts/run_main.sh`; `main.py`; optional `http/*.http`, CLI scripts	Step "Run the Example" using `<Tabs>` (Python / cURL / REST Client / CLI)
5	Debug	`.vscode/launch.json` with configs (main.py, function/service, tests)	Section "How to debug"
6	Test — local	`tests/` mirroring `src/`, `tests/conftest.py`, `.env.test`, `scripts/run_tests.sh`	Section "How to test"
7	Test — global integration	`tests/[provider]/[mves\|projects]/[name]/test_[name].py` using `run_tests`/`run_main` fixtures	—
8	Validate results — multiple tools	CLI/GUI scripts (`_cli.sh`, `-gui.sh`), VS Code extensions	Section "Validate results" using `<Tabs>` (≥2 tools)
9	Clean Up	`docker compose down -v` (or service-specific teardown)	Section "Clean Up"
10	Docs parity EN/ES	—	`es/` page exists with the same sections as the EN page
11	VS Code recommended extensions	`.vscode/extensions.json` whose `recommendations` mirror the `extensions` in `.devcontainer/devcontainer.json`	—

Notes:

Some functionalities are not applicable to every Lab (e.g. SAM Labs are incompatible with Dev Containers; a pure CLI Lab may have a single execution method). Mark these N/A with a one-line reason rather than as a gap.
Reference "complete" Labs to consult as benchmarks: aws/mves/lambda-sam, aws/mves/s3-minio, azure/mves/functions, google-cloud/mves/firebase-cloud-functions, hybrid/mves/mongo, hybrid/mves/redis.

Procedure

Inventory the Lab: list files in src/[lab], read its EN+ES docs pages, and check for tests/[provider]/[mves|projects]/[name]/.
Score each matrix row as ✅ (present), ⚠️ (partial), ❌ (missing) or N/A (with reason) — checking both the src/ signal and the docs/ signal. A row is only ✅ when both code and docs are present.
Cite evidence: the exact file path that satisfies (or the absence that fails) each row.
Twin compare (optional): if a same-service twin exists, diff structure to surface anything the twin offers that this Lab lacks; otherwise rely on the matrix.
Check EN/ES parity: same sections in both doc pages.

Output format

Produce Markdown with three parts:

1. Status matrix

Reproduce the matrix table with a Status column and an Evidence column per row.

2. Prioritized gaps

Critical: an entire functionality dimension absent (e.g. no tests at all, no debug).
Improvement: partial coverage (e.g. a single execution method where more apply, missing optional validation tool).

3. Task list

Concrete, ordered, actionable items to close every gap — each naming the file(s) to create or edit and, when a twin exists, the file to copy from (adjusting service-specific values such as ports, endpoints, profiles, and dynamic credentials).