Agent skill

Config Supervisor Deployment

by VectorSpaceLab in VectorSpaceLab/AREX-Skill

Use this quip-miner sub-skill for TOML configuration, production supervisor mode, mode resolution, Docker/container deployment, telemetry bind settings, and safe deployment troubleshooting.

AGPL-3.0Auto-check passedDevOps & Cloud

Install Config Supervisor Deployment

skills CLI
$ npx skills add VectorSpaceLab/AREX-Skill --skill config-supervisor-deployment -a claude-code

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

GitHub CLI
$ gh skill install VectorSpaceLab/AREX-Skill config-supervisor-deployment --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/config-supervisor-deployment .claude/skills/config-supervisor-deployment && 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
config-supervisor-deployment
GitHub stars
330
Token cost
~797 tokens
SKILL.md length
304 words
Files
5 (incl. scripts, references)
Skills in repo
159
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Use this quip-miner sub-skill for TOML configuration, production supervisor mode, mode resolution, Docker/container deployment, telemetry bind settings, and safe deployment troubleshooting.

  • Tasks that involve Deployment
  • SKILL.md covers Route By Task, Key Rules, Boundaries and Safe Checks
  • Runs Python scripts from its folder; calls python
  • Tasks that involve Containers

What it does

Config Supervisor Deployment is an agent skill from VectorSpaceLab/AREX-Skill. Use this quip-miner sub-skill for TOML configuration, production supervisor mode, mode resolution, Docker/container deployment, telemetry bind settings, and safe deployment troubleshooting.

Its SKILL.md is about 800 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/config-schema.md`, `references/supervisor-and-deployment.md` and `references/troubleshooting.md`).

It sits in DevOps & Cloud, covering Deployment and Containers. It works with Docker. 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 Deployment
  • Tasks that involve Containers

Example prompts

  • “/config-supervisor-deployment”

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

Config Supervisor Deployment loads about 797 tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 304 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~797
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.3k

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). 304 words, ~797 tokens.

Download SKILL.mdSave it as .claude/skills/config-supervisor-deployment/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
config-supervisor-deployment
description
Use this quip-miner sub-skill for TOML configuration, production supervisor mode, mode resolution, Docker/container deployment, telemetry bind settings, and safe deployment troubleshooting.
disable-model-invocation
true
metadata.disco-role
operating
license
AGPL 3.0

Config, Supervisor, and Deployment

Use this sub-skill when the user needs to create, migrate, lint, or explain a quip-miner TOML config; choose direct subcommands vs production supervisor mode; run a Docker/container deployment; or diagnose config-mode conflicts.

Route By Task

  • TOML schema and validation: Read references/config-schema.md for [miner], [submission], backend inventory tables, validators, signer key, telemetry, aliases, and mempool placement.
  • Production supervisor and deployment: Read references/supervisor-and-deployment.md for quip-miner --config, --mode narrowing, Docker /data/config.toml, shared memory, entrypoint behavior, and systemd cautions.
  • Config errors: Read references/troubleshooting.md for malformed TOML, invalid [miner] mempool, backend conflict errors, invalid validators, and submission tip/retry validation.
  • Template generation: Use scripts/render_config_template.py to draft a safe CPU/CUDA/QPU TOML skeleton, then use the root scripts/quip_config_lint.py against the active installed package.

Key Rules

  • Production mode is quip-miner --config config.toml; the supervisor starts one child per declared backend group and a telemetry aggregator when REST is enabled.
  • Direct subcommands (quip-miner cpu, gpu, qpu) accept CLI flags for focused runs, but if the TOML already declares a backend group, conflicting CLI inventory flags fail fast.
  • --mode cpu|gpu|qpu narrows a multi-backend config at runtime. It is CLI-only and must not be written into TOML.
  • [miner] is for connection, signer, faucet, telemetry, identity, logging, and global submission/reward thresholds. Hardware inventory lives in top-level backend sections.
  • mempool belongs inside backend sections, not [miner]. CPU/GPU default on; QPU default off.
  • Do not put credentials in config files. QPU/cloud credentials belong in environment variables or provider profiles.

Boundaries

  • Route wallet creation, faucet/bootstrap, NodeDescriptor submission, and solver registration to ../identity-wallet-bootstrap/SKILL.md.
  • Route backend tuning semantics such as CUDA utilization, Metal governor, Modal auth, or QPU budget pacing to ../mining-backends/SKILL.md.
  • Route telemetry endpoint diagnosis and snapshot files to ../telemetry-attempt-archive/SKILL.md.
  • Route maintainer tests and release packaging to ../maintainer-testing-release/SKILL.md.

Safe Checks

bash
python scripts/render_config_template.py --backend cpu --num-cpus 4
python scripts/render_config_template.py --backend cuda --cuda-devices 0,1 --rest-port 8086
python scripts/quip_config_lint.py --config config.toml --json
quip-miner resolve-modes --config config.toml

Do not start live miners solely to validate TOML shape; parser and mode-resolution checks are safer first.

© 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/config-supervisor-deployment of VectorSpaceLab/AREX-Skill.

  • SKILL.md
  • references/config-schema.md
  • references/supervisor-and-deployment.md
  • references/troubleshooting.md
  • scripts/render_config_template.py

Open the folder on GitHubat commit ac3fe1a

Compare with similar skills

Config Supervisor Deployment 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.

Config Supervisor Deployment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Config Supervisor Deployment this skillVectorSpaceLab/AREX-Skill330—~797Automated safety check: PassAGPL-3.0
GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb6.7k—~4kAutomated safety check: NotesApache-2.0
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence
LangBot Deployment Guidelangbot-app/LangBot18k—~1.2kAutomated safety check: NotesApache-2.0
Reflexo ReleaseMyriad-Dreamin/typst.ts1.2k—~1.5kAutomated safety check: PassApache-2.0
Classical Poem Silk VideoMr-funny/hbg-classical-poem-silk-video361—~1.6kAutomated safety check: PassMIT

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Works with

Categories

Questions about Config Supervisor Deployment

What does Config Supervisor Deployment do?

Use this quip-miner sub-skill for TOML configuration, production supervisor mode, mode resolution, Docker/container deployment, telemetry bind settings, and safe deployment troubleshooting. Config Supervisor Deployment is an agent skill from VectorSpaceLab/AREX-Skill. Use this quip-miner sub-skill for TOML configuration, production supervisor mode, mode resolution, Docker/container deployment, telemetry bind settings, and safe deployment troubleshooting.

When should I use Config Supervisor Deployment?

Config Supervisor Deployment fits situations like: tasks that involve Deployment; tasks that involve Containers.

How do I install Config Supervisor Deployment in Claude Code?

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

How do I install Config Supervisor Deployment in Codex?

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

Can I use Config Supervisor Deployment 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 config-supervisor-deployment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/config-supervisor-deployment, .gemini/skills/config-supervisor-deployment, .github/skills/config-supervisor-deployment and .opencode/skills/config-supervisor-deployment in your project.

What does Config Supervisor Deployment need to run?

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

Does Config Supervisor Deployment 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 Config Supervisor Deployment 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 Config Supervisor Deployment use?

Config Supervisor Deployment 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 Config Supervisor Deployment use?

About 797 tokens (SKILL.md is roughly 3.2k 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 2.5k tokens, read only when the agent opens those files.

What are the alternatives to Config Supervisor Deployment?

Skills that share tags, products or a category with Config Supervisor Deployment: GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), LangBot Deployment Guide (langbot-app/LangBot, 18k stars) and Reflexo Release (Myriad-Dreamin/typst.ts, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Config Supervisor Deployment?

VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 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.