Agent skill

Test Before Ship

by aiming-lab in aiming-lab/MetaClaw

A skill your agent uses when implementing a new feature or fixing a bug.

MITAuto-check passedTesting & QA

Install Test Before Ship

skills CLI
$ npx skills add aiming-lab/MetaClaw --skill test-before-ship -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aiming-lab/MetaClaw test-before-ship --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/memory_data/skills/test-before-ship .claude/skills/test-before-ship && rm -rf skills-src

Use ~/.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/

Facts

Skill name
test-before-ship
GitHub stars
3.5k
Token cost
~232 tokens
SKILL.md length
102 words
Files
1
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when implementing a new feature or fixing a bug.

  • Implementing a new feature
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Test Before Ship is an agent skill from aiming-lab/MetaClaw. Use this skill when implementing a new feature or fixing a bug. Write or update tests before marking the task done. Never consider code complete without verifying it works through automated tests.

Its SKILL.md is about 230 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. The repository describes itself as: 🦞 Just talk to your agent — it learns and EVOLVES 🧬. The licence is MIT.

When your agent uses it

  • Implementing a new feature

Example prompts

  • “/test-before-ship”

What it can do on your machine

Read from SKILL.md and the folder at commit 922caf3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Test Before Ship loads about 232 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 102 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~232

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from aiming-lab/MetaClaw at commit 922caf3, republished under its MIT licence (© aiming-lab). 102 words, ~232 tokens.

Download SKILL.mdSave it as .claude/skills/test-before-ship/SKILL.md (or your agent's skills folder).
name
test-before-ship
description
Use this skill when implementing a new feature or fixing a bug. Write or update tests before marking the task done. Never consider code complete without verifying it works through automated tests.
category
coding

Test Before Ship

Test pyramid:

  • Unit tests for pure functions and business logic (fast, many).
  • Integration tests for service interactions and DB queries (medium).
  • End-to-end tests for critical user journeys (slow, few).

Test quality checklist:

  • Does the test actually fail when the code is broken?
  • Does it cover the happy path AND the most likely error cases?
  • Is the test name descriptive enough to diagnose a failure from the name alone?

For bug fixes: add a regression test that reproduces the bug before fixing it.

Anti-patterns:

  • Tests that only test the mock, not the real behavior.
  • Skipping tests because "it probably works".

© aiming-lab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in memory_data/skills/test-before-ship of aiming-lab/MetaClaw.

Open the folder on GitHubat commit 922caf3

Compare with similar skills

Test Before Ship 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.

Test Before Ship compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Test Before Ship this skillaiming-lab/MetaClaw3.5k—~232Automated safety check: PassMIT
Create Taskmelandlabs/openloomi1k—~4.6kAutomated safety check: PassApache-2.0
Early Experience DataOSU-NLP-Group/EarlyExperience102—~4.1kAutomated safety check: PassMIT
EvaluationPrimeIntellect-ai/prime-envs130—~4.6kAutomated safety check: PassApache-2.0
5 Persona Advisory Boardharryvondiesel-web/5-persona-advisory-board131—~2.8kAutomated safety check: PassMIT
Veomni Patchgen ModelByteDance-Seed/VeOmni2.2k—~9.6kAutomated safety check: PassApache-2.0

Similar skills

  • Create Task

    melandlabs/openloomi

    Create an end-to-end Continual Learning Bench task. An agent skill from melandlabs/openloomi.

    1k GitHub stars~4.6k tokensUpdated 14 days ago
    Testing & QAAuto-check passed
  • Early Experience Data

    OSU-NLP-Group/EarlyExperience

    A skill your agent uses whenever the user asks to generate, collect, inspect, or prepare early-experience training data (Implicit World Modeling or Self-Reflection, in the sense of arXiv:2510.08558)…

    102 GitHub stars~4.1k tokensUpdated 3 mo ago
    Testing & QAAuto-check passed
  • Evaluation

    PrimeIntellect-ai/prime-envs

    Install and run a verifiers environment — smoke testing during development and full benchmark evals.

    130 GitHub stars~4.6k tokensUpdated today
    Testing & QAAuto-check passed
  • 5 Persona Advisory Board

    harryvondiesel-web/5-persona-advisory-board

    Run a 5 Persona Advisory Board review, board review, strategic decision stress-test, offer critique, risk check, or pricing/timing/positioning decision review.

    131 GitHub stars~2.8k tokensUpdated yesterday
    Testing & QAAuto-check passed
  • Veomni Patchgen Model

    ByteDance-Seed/VeOmni

    Author or refresh a VeOmni model's patchgen-generated modeling under generated/ — GPU and/or NPU config, dense or MoE, text / VLM / Omni.

    2.2k GitHub stars~9.6k tokensUpdated today
    Testing & QAAuto-check passed
  • Rsibench Data Factory

    evolvent-ai/RSIBench-Data

    Use inside RSIBench-Data when testing whether an automation agent can improve a target model on a configured benchmark through synthetic Tinker SFT data, Tinker sampling, and E2B-based Harbor…

    169 GitHub stars~640 tokensUpdated 1 mo ago
    Testing & QAAuto-check: notes

More from aiming-lab/MetaClaw

All 36 skills in this repo
  • Data Validation First

    aiming-lab/MetaClaw

    Use this skill before any data analysis, transformation, or modeling.

    3.5k GitHub stars~230 tokensUpdated 4 mo ago
    Auto-check passed
  • A skill your agent uses when implementing any endpoint, form handler, CLI tool, or function that accepts external input.

    3.5k GitHub stars~251 tokensUpdated 4 mo ago
    Auto-check passed
  • A skill your agent uses when writing shell scripts, Python automation, or any unattended batch job.

    3.5k GitHub stars~225 tokensUpdated 4 mo ago
    Auto-check passed
  • A skill your agent uses when building production services, pipelines, or automation that needs to be debugged, monitored, or audited.

    3.5k GitHub stars~247 tokensUpdated 4 mo ago
    Auto-check passed
  • Agent Task Handoff

    aiming-lab/MetaClaw

    A skill your agent uses when delegating a subtask to a sub-agent, spawning a parallel worker, or handing off work across sessions.

    3.5k GitHub stars~258 tokensUpdated 4 mo ago
    Auto-check passed
  • A skill your agent uses when writing messages in async channels (Slack, GitHub issues, email threads) where the reader may not have context and cannot ask follow-up questions immediately.

    3.5k GitHub stars~224 tokensUpdated 4 mo ago
    Auto-check passed

Questions about Test Before Ship

What does Test Before Ship do?

A skill your agent uses when implementing a new feature or fixing a bug. Test Before Ship is an agent skill from aiming-lab/MetaClaw. Use this skill when implementing a new feature or fixing a bug.

When should I use Test Before Ship?

Test Before Ship fits situations like: implementing a new feature.

How do I install Test Before Ship in Claude Code?

Run `npx skills add aiming-lab/MetaClaw --skill test-before-ship -a claude-code`. Or copy the skill folder (memory_data/skills/test-before-ship in aiming-lab/MetaClaw) into .claude/skills/test-before-ship in your project. Claude Code loads it when a task matches its description.

How do I install Test Before Ship in Codex?

Run `npx skills add aiming-lab/MetaClaw --skill test-before-ship -a codex`. Or copy the skill folder (memory_data/skills/test-before-ship in aiming-lab/MetaClaw) into .agents/skills/test-before-ship in your project. Codex loads it when a task matches its description.

Can I use Test Before Ship in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiming-lab/MetaClaw --skill test-before-ship -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/test-before-ship, .gemini/skills/test-before-ship, .github/skills/test-before-ship and .opencode/skills/test-before-ship in your project.

What does Test Before Ship need to run?

SKILL.md names no scripts, command-line tools or credentials: Test Before Ship is instructions for the agent only.

Does Test Before Ship access the network?

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.

Is Test Before Ship safe to install?

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.

What licence does Test Before Ship use?

Test Before Ship is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Test Before Ship use?

About 232 tokens (SKILL.md is roughly 928 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Test Before Ship?

Skills that share tags, products or a category with Test Before Ship: Create Task (melandlabs/openloomi, 1k stars), Early Experience Data (OSU-NLP-Group/EarlyExperience, 102 stars), Evaluation (PrimeIntellect-ai/prime-envs, 130 stars) and 5 Persona Advisory Board (harryvondiesel-web/5-persona-advisory-board, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Test Before Ship?

aiming-lab (a GitHub organization) maintains it in aiming-lab/MetaClaw, which has 3,458 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on June 7, 2026.

Source: aiming-lab/MetaClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.