feat(review-spec): add mechanical-test-generation focus + tighten conditional topics

The skill now loads mechanical-test-generation.md as a 6th core file alongside
spec-driven-development, test-driven-development, api-design, llm-code-security,
and security-architecture. The previous "load related files based on the stack"
hint is replaced with an explicit conditional triage table covering agent-repos,
ai-parallel-agents, api-integration, secrets-management, database-selection,
docker, kubernetes, and validation, plus a skip list of implementation-time
topics that don't add value at spec-review time.

Adds a new "Review: mechanical test derivation" section with seven checks
(module layout, integration boundaries, library semantics, concrete interfaces,
error messages as test data, parametric pattern tables, pre-dispatch testability)
and a corresponding scorecard row.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Paul O'Reilly
2026-04-28 08:24:06 +12:00
parent 7d7856a079
commit 28ae10ea90

View File

@@ -2,8 +2,9 @@
name: review-spec
description: >
Review a spec file against best practices: API design, LLM code security, spec-driven
development, test-driven development, and security architecture. Checks spec structure,
requirement quality, security coverage, and testability. Invoke with the spec filename,
development, test-driven development, security architecture, and mechanical test
generation. Checks spec structure, requirement quality, security coverage, testability,
and whether the spec enables mechanical test derivation. Invoke with the spec filename,
e.g. /review-spec spec/authentication.md
allowed-tools: Read, Glob, Grep, Bash(cat *), Bash(ls *), Bash(find *)
---
@@ -25,15 +26,31 @@ You are reviewing the spec file **$ARGUMENTS** against established best practice
## Best practice files to load
Read ALL of the following best practice files before starting the review:
Read ALL of the following core best practice files before starting the review:
1. `~/dev/claude/projects/best-practices/spec-driven-development.md` -- Spec structure, requirements, scenarios, writing guidelines
2. `~/dev/claude/projects/best-practices/test-driven-development.md` -- Test derivation, edge cases, property testing
3. `~/dev/claude/projects/best-practices/api-design.md` -- Transport security, auth, API patterns, input validation, zero-trust
4. `~/dev/claude/projects/best-practices/llm-code-security.md` -- LLM-generated code vulnerabilities, review checklists
5. `~/dev/claude/projects/best-practices/security-architecture.md` -- Server boundary rule, credential proxying
3. `~/dev/claude/projects/best-practices/mechanical-test-generation.md` -- Spec properties that enable mechanical test writing (module layout, integration boundaries, error messages as test data, pattern tables as parametric matrices, pre-dispatch testability review)
4. `~/dev/claude/projects/best-practices/api-design.md` -- Transport security, auth, API patterns, input validation, zero-trust, RFC 9457 errors, contract testing
5. `~/dev/claude/projects/best-practices/llm-code-security.md` -- LLM-generated code vulnerabilities, review checklists
6. `~/dev/claude/projects/best-practices/security-architecture.md` -- Server boundary rule, credential proxying
Also read any additional best practice files relevant to the spec's technology stack (check the index for Kubernetes, Helm, Docker, secrets management, etc.).
### Conditional topic files
Read these ONLY when the spec under review touches that area. Skim the spec first, then load the matching files:
| Load when the spec involves... | File |
|---|---|
| Agent task dispatch, branch-per-task persistence, agent repo lifecycle | `agent-repos.md` |
| Parallel/wave dispatch, multi-agent orchestration, comparative dispatch | `ai-parallel-agents.md` |
| Third-party APIs (consumer side: capability verification, polling sync, SoR mapping) | `api-integration.md` |
| Credential handling beyond the security-architecture basics (SOPS, age, secret scoping, env vs file injection) | `secrets-management.md` |
| Persistence (DB selection, concurrent access, FQDNs/services backed by storage) | `database-selection.md` |
| Container lifecycle, image pinning, UID matching for mounted volumes | `docker.md`, `docker-uid-matching.md` |
| K8s resources, NetworkPolicy, securityContext, probe behaviour, Cilium/Istio | `kubernetes.md` |
| Pre-deploy validation, integration failure categorisation, migration safety | `validation.md` |
Skip for spec review (these are implementation-time concerns, not spec-quality concerns): `debugging`, `linting`, `scripting`, `documentation`, `milestones`, `networking`, `ansible`, `octopus-process-templates`, `git-source-control`, `python-patterns`, `helm`, `ci-container-builds`, `skills-development`. If the spec under review *is* about one of those areas, load the corresponding file then — but don't load them by default.
## Review: spec structure quality
@@ -111,6 +128,18 @@ Evaluate how well this spec supports test-driven development:
- [ ] Data model examples are concrete enough to use as test fixtures
- [ ] Extension points describe how to test new extensions
## Review: mechanical test derivation
Evaluate whether a tester (human or agent) could write the test suite from the spec without inventing structure. Source: `mechanical-test-generation.md`.
- [ ] **Module layout is explicit** -- A table maps subsystems → source files → test files (or the spec names them inline). Without this, testers invent module boundaries.
- [ ] **Integration boundaries are marked** -- Requirements that cross a process/network boundary are flagged as integration tests. Pure-logic requirements are flagged as unit tests. No ambiguity about which level a requirement belongs at.
- [ ] **Library/framework semantics are explicit** -- If the spec says "use X library", it states which behaviours the library guarantees vs which the spec adds on top. Testers should not have to read library source to know what to test.
- [ ] **Concrete interfaces over "implementation detail"** -- Function signatures, data shapes, and error types are spelled out. Avoid "the implementation handles this" hand-waves.
- [ ] **Error messages are test data** -- Where the spec specifies error responses, the exact string/code/structure is given (or referenced from a stable source). Tests can assert against these without guessing.
- [ ] **Pattern tables work as parametric matrices** -- Tables of inputs → expected outputs are formatted such that a `@pytest.mark.parametrize` can be derived directly. Avoid prose lists where a table would do.
- [ ] **Pre-dispatch testability review** -- Each requirement has been read with "could I write a failing test for this right now?" If not, the requirement is too vague to dispatch to an implementation agent.
## Output format
Structure your review as:
@@ -126,6 +155,7 @@ One paragraph: overall quality of the spec and its readiness for implementation.
| Requirement quality | 1-5 | ... |
| Security coverage | 1-5 | ... |
| Testability | 1-5 | ... |
| Mechanical test derivation | 1-5 | ... |
| Clarity for AI agents | 1-5 | ... |
(1 = major gaps, 3 = adequate, 5 = exemplary)