Agent skill

Maintainer Testing Release

by VectorSpaceLab in VectorSpaceLab/AREX-Skill

Use this quip-miner sub-skill for maintainer pytest selection, CI invariants, no-inline-sampling lint, multiprocessing/hang debugging, versioning, Docker/PyInstaller release checks, and safe…

AGPL-3.0Auto-check passedDevelopment

Install Maintainer Testing Release

skills CLI
$ npx skills add VectorSpaceLab/AREX-Skill --skill maintainer-testing-release -a claude-code

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

GitHub CLI
$ gh skill install VectorSpaceLab/AREX-Skill maintainer-testing-release --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/quip-miner/sub-skills/maintainer-testing-release .claude/skills/maintainer-testing-release && 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
maintainer-testing-release
GitHub stars
328
Token cost
~697 tokens
SKILL.md length
230 words
Files
5 (incl. scripts, references)
Skills in repo
157
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Use this quip-miner sub-skill for maintainer pytest selection, CI invariants, no-inline-sampling lint, multiprocessing/hang debugging, versioning, Docker/PyInstaller release checks, and safe…

  • Tasks that involve Unit testing
  • SKILL.md covers Route By Task, Common Commands, Key Rules and Boundaries
  • Runs Python scripts from its folder; calls python
  • Tasks that involve Containers

What it does

Maintainer Testing Release is an agent skill from VectorSpaceLab/AREX-Skill. Use this quip-miner sub-skill for maintainer pytest selection, CI invariants, no-inline-sampling lint, multiprocessing/hang debugging, versioning, Docker/PyInstaller release checks, and safe benchmark policy.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/release-and-packaging.md`, `references/testing-and-ci.md` and `references/troubleshooting.md`).

It sits in Development, covering Unit testing, Containers and Linting and formatting. It works with Docker and pytest. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is AGPL-3.0.

When your agent uses it

  • Tasks that involve Unit testing
  • Tasks that involve Containers
  • Tasks that involve Linting and formatting

Example prompts

  • “/maintainer-testing-release”

Requirements

  • Python 3
  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit ac3fe1a. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Maintainer Testing Release loads about 697 tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 230 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~697
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its AGPL-3.0 licence (© VectorSpaceLab). 230 words, ~697 tokens.

Download SKILL.mdSave it as .claude/skills/maintainer-testing-release/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
maintainer-testing-release
description
Use this quip-miner sub-skill for maintainer pytest selection, CI invariants, no-inline-sampling lint, multiprocessing/hang debugging, versioning, Docker/PyInstaller release checks, and safe benchmark policy.
disable-model-invocation
true
metadata.disco-role
operating
license
AGPL 3.0

Maintainer Testing and Release

Use this sub-skill when changing quip-miner source, selecting targeted tests, preserving architecture invariants, debugging hung processes, or preparing release/build validation.

Route By Task

  • Targeted tests and CI: Read references/testing-and-ci.md for safe pytest selections by workflow, no-inline-sampling guard, Docker/build CI notes, and test safety classification.
  • Release and packaging: Read references/release-and-packaging.md for versioning, PyInstaller build/selftest, Docker images, and release checks.
  • Failures and hangs: Read references/troubleshooting.md for faulthandler/SIGABRT, multiprocessing teardown, no-threads rule, optional backend skips, and benchmark safety.
  • No-inline-sampling lint: Run scripts/lint_no_inline_sampling.py --repo-root <checkout> when changing shared/, CPU/, GPU/, QPU/, or substrate/ sampling paths.

Common Commands

bash
python -m pytest tests/test_miner_config.py -q
python -m pytest tests/test_quip_cli.py -q
python -m pytest tests/test_hybrid_signer.py tests/test_system_info.py -q
python -m pytest tests/test_telemetry_process.py -q
python -m pytest tests/test_gpu_scheduler.py -q
python scripts/lint_no_inline_sampling.py --repo-root <checkout>
quip-miner selftest

Use the narrowest relevant tests first. Do not run live QPU benchmarks, Docker compose validator integration, or host-mutating deployment scripts unless the operator explicitly asks.

Key Rules

  • New background work in this repo should use multiprocessing (spawn) or asyncio, not new threading.Thread workers.
  • Threads from third-party libraries or existing stdlib internals can exist, but document exceptions inline when relevant.
  • The unified streaming stack is mandatory. Reintroduced inline sampling symbols are a regression.
  • Enable faulthandler before long or potentially wedged Python runs; use SIGABRT for traceback dump on hard hangs.
  • For CUDA changes, run actual CUDA tests only when compatible hardware/dependencies exist. Record optional backend skips separately from passes.

Boundaries

  • Route operator config/deployment tasks to ../config-supervisor-deployment/SKILL.md.
  • Route live mining behavior to ../mining-backends/SKILL.md.
  • Route topology/proof data tools to ../topology-proof-validation/SKILL.md.
  • Route telemetry runtime diagnosis to ../telemetry-attempt-archive/SKILL.md.

© VectorSpaceLab, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in skills/repositories/repo-skills/quip-miner/sub-skills/maintainer-testing-release of VectorSpaceLab/AREX-Skill.

  • SKILL.md
  • references/release-and-packaging.md
  • references/testing-and-ci.md
  • references/troubleshooting.md
  • scripts/lint_no_inline_sampling.py

Open the folder on GitHubat commit ac3fe1a

Compare with similar skills

Maintainer Testing Release 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.

Maintainer Testing Release compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Maintainer Testing Release this skillVectorSpaceLab/AREX-Skill328—~697Automated safety check: PassAGPL-3.0
Flowfile Debugging PlaybookEdwardvaneechoud/Flowfile373—~6.3kAutomated safety check: PassMIT
Code PatternsAedelon/claude-code-blueprint120—~1.2kAutomated safety check: PassCustom licence
Slow TestsUKGovernmentBEIS/inspect_ai3k—~1.4kAutomated safety check: PassMIT
Pre Pushartcc/freelingo160—~732Automated safety check: PassAGPL-3.0
Run Testsartcc/freelingo160—~976Automated safety check: PassAGPL-3.0

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Works with

Questions about Maintainer Testing Release

What does Maintainer Testing Release do?

Use this quip-miner sub-skill for maintainer pytest selection, CI invariants, no-inline-sampling lint, multiprocessing/hang debugging, versioning, Docker/PyInstaller release checks, and safe…. Maintainer Testing Release is an agent skill from VectorSpaceLab/AREX-Skill. Use this quip-miner sub-skill for maintainer pytest selection, CI invariants, no-inline-sampling lint, multiprocessing/hang debugging, versioning, Docker/PyInstaller release checks, and safe benchmark policy.

When should I use Maintainer Testing Release?

Maintainer Testing Release fits situations like: tasks that involve Unit testing; tasks that involve Containers; tasks that involve Linting and formatting.

How do I install Maintainer Testing Release in Claude Code?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill maintainer-testing-release -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/quip-miner/sub-skills/maintainer-testing-release in VectorSpaceLab/AREX-Skill) into .claude/skills/maintainer-testing-release in your project. Claude Code loads it when a task matches its description.

How do I install Maintainer Testing Release in Codex?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill maintainer-testing-release -a codex`. Or copy the skill folder (skills/repositories/repo-skills/quip-miner/sub-skills/maintainer-testing-release in VectorSpaceLab/AREX-Skill) into .agents/skills/maintainer-testing-release in your project. Codex loads it when a task matches its description.

Can I use Maintainer Testing Release 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 VectorSpaceLab/AREX-Skill --skill maintainer-testing-release -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/maintainer-testing-release, .gemini/skills/maintainer-testing-release, .github/skills/maintainer-testing-release and .opencode/skills/maintainer-testing-release in your project.

What does Maintainer Testing Release need to run?

Going by SKILL.md and its folder, Maintainer Testing Release needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; Docker.

Does Maintainer Testing Release 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 Maintainer Testing Release 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Maintainer Testing Release use?

Maintainer Testing Release is published under the AGPL-3.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Maintainer Testing Release use?

About 697 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Maintainer Testing Release?

Skills that share tags, products or a category with Maintainer Testing Release: Flowfile Debugging Playbook (Edwardvaneechoud/Flowfile, 373 stars), Code Patterns (Aedelon/claude-code-blueprint, 120 stars), Slow Tests (UKGovernmentBEIS/inspect_ai, 3k stars) and Pre Push (artcc/freelingo, 160 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Maintainer Testing Release?

VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.

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