Specx Tests
maksimzayats/specx
Add or refine tests for specx Python services. An agent skill from maksimzayats/specx.
5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples
$ npx skills add nWave-ai/nWave --skill nw-hexagonal-testing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nWave-ai/nWave nw-hexagonal-testing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .claude/skills && cp -r skills-src/nWave/skills/nw-hexagonal-testing .claude/skills/nw-hexagonal-testing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "nw-hexagonal-testing" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-hexagonal-testing into .claude/skills/nw-hexagonal-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-hexagonal-testing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-hexagonal-testingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nWave-ai/nWave --skill nw-hexagonal-testing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nWave-ai/nWave nw-hexagonal-testing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .agents/skills && cp -r skills-src/nWave/skills/nw-hexagonal-testing .agents/skills/nw-hexagonal-testing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nw-hexagonal-testing" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-hexagonal-testing into .agents/skills/nw-hexagonal-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-hexagonal-testing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nWave-ai/nWave --skill nw-hexagonal-testing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nWave-ai/nWave nw-hexagonal-testing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/nWave/skills/nw-hexagonal-testing .cursor/skills/nw-hexagonal-testing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nw-hexagonal-testing" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-hexagonal-testing into .cursor/skills/nw-hexagonal-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-hexagonal-testing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nWave-ai/nWave.git --path nWave/skills/nw-hexagonal-testing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nWave-ai/nWave --skill nw-hexagonal-testing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nWave-ai/nWave nw-hexagonal-testing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/nWave/skills/nw-hexagonal-testing .gemini/skills/nw-hexagonal-testing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nw-hexagonal-testing" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-hexagonal-testing into .gemini/skills/nw-hexagonal-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-hexagonal-testing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nWave-ai/nWave nw-hexagonal-testingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nWave-ai/nWave --skill nw-hexagonal-testing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .github/skills && cp -r skills-src/nWave/skills/nw-hexagonal-testing .github/skills/nw-hexagonal-testing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nw-hexagonal-testing" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-hexagonal-testing into .github/skills/nw-hexagonal-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-hexagonal-testing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nWave-ai/nWave --skill nw-hexagonal-testing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nWave-ai/nWave nw-hexagonal-testing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/nWave/skills/nw-hexagonal-testing .opencode/skills/nw-hexagonal-testing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nw-hexagonal-testing" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-hexagonal-testing into .opencode/skills/nw-hexagonal-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-hexagonal-testing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
nw-hexagonal-testing5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples
Nw Hexagonal Testing is an agent skill from nWave-ai/nWave. 5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering LLM guardrails and Unit testing. The repository describes itself as: AI agents that guide you from idea to working code, with you in control at every step. The licence is MIT.
Read from SKILL.md and the folder at commit da401a8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml and python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Nw Hexagonal Testing loads about 1.4k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 508 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from nWave-ai/nWave at commit da401a8, republished under its MIT licence (© nWave-ai). 508 words, ~1,372 tokens.
.claude/skills/nw-hexagonal-testing/SKILL.md (or your agent's skills folder).Validates agent OUTPUTS, not TDD testing methodology.
Validate individual software-crafter outputs.
structural_checks:
- required_elements_present: true
- format_compliance: true
- quality_standards_met: true
quality_checks:
- completeness: "All required components present"
- clarity: "Unambiguous and understandable"
- testability: "Can be validated"
test_data_quality:
real_data: "Use real API responses as golden masters"
edge_cases: "Test null, empty, malformed, boundary conditions"
assertions: "Assert expected counts, not just 'any results'"Validate handoffs to next agent. Next agent must consume outputs without clarification.
Challenge output quality through adversarial scrutiny of generated code:
Pass criteria: all critical challenges addressed, edge cases documented and handled.
For peer review and escalation protocols, load the review-dimensions skill.
Complete business capability per slice: UI -> Application -> Domain -> Infrastructure for a specific feature. Slices developed and deployed independently. Focus on business capability over technical layer.
For test doubles policy and violation examples, load the tdd-methodology skill.
| Layer | Test Strategy | Adapter Selection | Rationale |
|---|---|---|---|
| Domain | Pure unit test, zero I/O | N/A (no adapters) | Domain is pure functions — test with pure inputs |
| Application | InMemory ports for focused scenarios | InMemory doubles | Application orchestrates — test logic, not I/O |
| Adapter | REAL I/O ALWAYS* | Real system (tmp_path, subprocess, DB) | Adapter IS the I/O boundary — testing with InMemory defeats the purpose |
*Exception: costly subprocesses (claude -p, LLM) and paid external APIs use contract smoke tests tagged @requires_external instead of real I/O. See nw-tdd-methodology Mandate 6 for the full adapter type → test type table.
| WS/E2E | Per declared strategy (A/B/C/D) | Real for local, fake for costly | WS proves wiring — InMemory proves nothing about wiring |
A pure function stub at a driven port boundary models the port's CONTRACT, not the external system's BEHAVIOR. For every driven port stub, verify that an adapter integration test with real I/O covers the behavioral gap.
If the system's primary job is coordinating external processes (orchestrators, ETL, deployment scripts), invest MORE in WS and adapter integration tests than unit tests. If the system's primary job is domain computation (pricing, validation, parsing), the traditional pyramid applies.
# conftest.py
import os
import pytest
@pytest.fixture
def subprocess_runner():
"""Returns real or fake subprocess runner based on E2E mode."""
if os.getenv("NWAVE_E2E_REAL_SUBPROCESS") == "1":
from myapp.adapters.real_subprocess_runner import RealSubprocessRunner
return RealSubprocessRunner()
from tests.doubles.fake_subprocess_runner import FakeSubprocessRunner
return FakeSubprocessRunner(exit_code=0, stdout="OK")Naming convention for multi-port Strategy D: NWAVE_E2E_REAL_{PORT_NAME} per driven port (e.g., NWAVE_E2E_REAL_SUBPROCESS, NWAVE_E2E_REAL_DATABASE). Use NWAVE_E2E_MODE=real as composite flag to enable ALL real adapters at once for full E2E.
© nWave-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in nWave/skills/nw-hexagonal-testing of nWave-ai/nWave.
Open the folder on GitHubat commit da401a8
Nw Hexagonal Testing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nw Hexagonal Testing this skillnWave-ai/nWave | 617 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Specx Testsmaksimzayats/specx | 202 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Specx Project Toolingmaksimzayats/specx | 202 | — | ~965 | Automated safety check: Pass | MIT | |
| TDD WorkflowhellangleZ/burn-in-cceverywhere-ralph | 112 | 11 repos | ~2.4k | Automated safety check: Pass | None | |
| Testing OpenLogi UIAprilNEA/OpenLogi | 23k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Go Testingcxuu/golang-skills | 170 | 1 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 |
maksimzayats/specx
Add or refine tests for specx Python services. An agent skill from maksimzayats/specx.
maksimzayats/specx
Add strict Python project tooling for a specx service. An agent skill from maksimzayats/specx.
hellangleZ/burn-in-cceverywhere-ralph
A skill your agent uses when writing new features, fixing bugs, or refactoring code.
AprilNEA/OpenLogi
Verifies OpenLogi's native GPUI interface with focused tests, the component gallery and a mock agent, choosing the evidence that fits each change.
cxuu/golang-skills
A skill your agent uses when writing, reviewing, or improving Go test code — including table-driven tests, subtests, parallel tests, test helpers, test doubles, and assertions with cmp.Diff.
samchon/nestia
Defines self-acknowledgments for production declarations and tests.
nWave-ai/nWave
DELIVER wave orchestration workflow -- 9 phases from baseline to finalization.
nWave-ai/nWave
Generates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML.
nWave-ai/nWave
Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence.
nWave-ai/nWave
Creates evidence-based documentation following DIVIO/Diataxis principles.
nWave-ai/nWave
A skill your agent uses when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle.
nWave-ai/nWave
Applies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring.
Categories
5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples. Nw Hexagonal Testing is an agent skill from nWave-ai/nWave.
Nw Hexagonal Testing fits situations like: tasks that involve LLM guardrails; tasks that involve Unit testing.
Run `npx skills add nWave-ai/nWave --skill nw-hexagonal-testing -a claude-code`. Or copy the skill folder (nWave/skills/nw-hexagonal-testing in nWave-ai/nWave) into .claude/skills/nw-hexagonal-testing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add nWave-ai/nWave --skill nw-hexagonal-testing -a codex`. Or copy the skill folder (nWave/skills/nw-hexagonal-testing in nWave-ai/nWave) into .agents/skills/nw-hexagonal-testing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nWave-ai/nWave --skill nw-hexagonal-testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nw-hexagonal-testing, .gemini/skills/nw-hexagonal-testing, .github/skills/nw-hexagonal-testing and .opencode/skills/nw-hexagonal-testing in your project.
SKILL.md names no scripts, command-line tools or credentials: Nw Hexagonal Testing is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Nw Hexagonal Testing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Nw Hexagonal Testing: Specx Tests (maksimzayats/specx, 202 stars), Specx Project Tooling (maksimzayats/specx, 202 stars), TDD Workflow (hellangleZ/burn-in-cceverywhere-ralph, 112 stars) and Testing OpenLogi UI (AprilNEA/OpenLogi, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
nWave-ai (a GitHub organization) maintains it in nWave-ai/nWave, which has 617 GitHub stars. The repository holds 106 skills in this directory. The repository was last updated on September 16, 2026.
Source: nWave-ai/nWave on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.