Trigger: "run Materialize locally", "start environmentd", "check compilation", "format code", "lint", "cargo check", "cargo fmt", "cargo clippy", "bin/fmt", "bin/lint", or mentions compiling…

Custom licenceAuto-check passedDevelopment

Install Mz Run

skills CLI
$ npx skills add MaterializeInc/materialize --skill mz-run -a claude-code

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

GitHub CLI
$ gh skill install MaterializeInc/materialize mz-run --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/MaterializeInc/materialize.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/mz-run .claude/skills/mz-run && 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
mz-run
GitHub stars
6.4k
Token cost
~970 tokens
SKILL.md length
439 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
Custom licence

At a glance

Trigger: "run Materialize locally", "start environmentd", "check compilation", "format code", "lint", "cargo check", "cargo fmt", "cargo clippy", "bin/fmt", "bin/lint", or mentions compiling…

  • Tasks that involve Linting and formatting
  • SKILL.md covers Compiling, Running locally, Formatting and linting and Log filters, plus 1 more section
  • Calls cargo, docker and psql

What it does

Mz Run is an agent skill from MaterializeInc/materialize. Trigger: "run Materialize locally", "start environmentd", "check compilation", "format code", "lint", "cargo check", "cargo fmt", "cargo clippy", "bin/fmt", "bin/lint", or mentions compiling, building, running, formatting, linting, log filters, jemalloc, CockroachDB setup in Materialize. Also "how do I run this" or "it won't compile".

Its SKILL.md is about 970 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 Development, covering Linting and formatting. It works with PostgreSQL. The repository describes itself as: The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL.

When your agent uses it

  • Tasks that involve Linting and formatting

Example prompts

  • “run Materialize locally”
  • “start environmentd”
  • “check compilation”
  • “/mz-run”

Requirements

  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit b760ecc. 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

    Shell commands in SKILL.md call:

    • cargo
    • docker
    • psql

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

  • Network

    No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.

    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

Mz Run loads about 970 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 439 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~970

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 439 words (~970 tokens).

“Check compilation with cargo check. Do not use cargo build or cargo run to build or run Materialize. Use bin/environmentd --build-only to build without running.”

— opening of SKILL.md by MaterializeInc, Custom licence
name
mz-run

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/mz-run of MaterializeInc/materialize.

Open the folder on GitHubat commit b760ecc

Compare with similar skills

Mz Run 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.

Mz Run compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mz Run this skillMaterializeInc/materialize6.4k—~970Automated safety check: PassCustom licence
New Lintsupabase/splinter280—~2.9kAutomated safety check: NotesNone
Rsigmatimescale/rsigma159—~1.2kAutomated safety check: PassMIT
Repo Guardsimovilab/databus101—~1.3kAutomated safety check: PassApache-2.0
Diesel Guardayarotsky/diesel-guard121—~3.1kAutomated safety check: PassMIT
Gateguardana/guardana129—~776Automated safety check: PassApache-2.0

Similar skills

  • New Lint

    supabase/splinter

    Official

    Create a new splinter lint — a SQL view that checks for a database anti-pattern.

    280 GitHub stars~2.9k tokensUpdated 8 days ago
    DevelopmentAuto-check: notes
  • Rsigma

    timescale/rsigma

    Use the rsigma CLI and MCP server: engine eval, engine daemon, rule lint, rule draft, rule tune, rule backtest, backend convert, mcp serve.

    159 GitHub stars~1.2k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Repo Guard

    simovilab/databus

    Keep the databus repo clean as it grows — verify new/changed backend code meets the project's docstring, type-hint, and structural conventions, and update any docs the change made stale.

    101 GitHub stars~1.3k tokensUpdated 1 mo ago
    DevelopmentAuto-check passed
  • Diesel Guard

    ayarotsky/diesel-guard

    Lints Diesel and SQLx Postgres migrations for unsafe schema changes that lock tables or cause downtime, and authors custom Rhai checks.

    121 GitHub stars~3.1k tokensUpdated 9 days ago
    DatabasesAuto-check passed
  • Gate

    guardana/guardana

    Run this project's verification — the full local CI mirror (ruff, mypy, import contract, pytest with PostgreSQL, coverage floors, dogfood, generated docs and site, the isolated example suites, the…

    129 GitHub stars~776 tokensUpdated today
    Testing & QAAuto-check passed
  • Installs, updates or migrates the vendored anti-slop Oxlint plugin in a repository, keeping local rule changes and the plugin's license and provenance files.

    5.3k GitHub starsUsed in 1 repo~2.2k tokens
    DevelopmentAuto-check passed

More from MaterializeInc/materialize

All 15 skills in this repo
  • Mz Release Signoff

    MaterializeInc/materialize

    Verify a release candidate on the Grafana dashboards and sign off in release.

    6.4k GitHub stars~7.2k tokensUpdated today
    Auto-check passed
  • Mz Benchmark

    MaterializeInc/materialize

    Add/modify/debug Materialize perf benchmark scenarios. An agent skill from MaterializeInc/materialize.

    6.4k GitHub stars~2.8k tokensUpdated today
    Auto-check passed
  • Mz Commit

    MaterializeInc/materialize

    Trigger: "commit", "prepare commit", "create PR", "push", "open pull request", or mentions committing, pre-commit checks, pull requests in Materialize.

    6.4k GitHub stars~2.3k tokensUpdated today
    Auto-check passed
  • Mz Dbt Release

    MaterializeInc/materialize

    Cut a dbt-materialize PyPI release: bump the version in version.py and setup.py, date the Unreleased CHANGELOG entry, and open the release PR with a Ship: <url body.

    6.4k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Mz Debug CI

    MaterializeInc/materialize

    Investigate CI failures on PR via gh + Buildkite MCP or bk CLI.

    6.4k GitHub stars~3.9k tokensUpdated today
    Auto-check passed
  • Mz Limits Test

    MaterializeInc/materialize

    Add/modify/debug limits test. An agent skill from MaterializeInc/materialize.

    6.4k GitHub stars~808 tokensUpdated today
    Auto-check passed

Works with

Categories

Questions about Mz Run

What does Mz Run do?

Trigger: "run Materialize locally", "start environmentd", "check compilation", "format code", "lint", "cargo check", "cargo fmt", "cargo clippy", "bin/fmt", "bin/lint", or mentions compiling…. Mz Run is an agent skill from MaterializeInc/materialize. Trigger: "run Materialize locally", "start environmentd", "check compilation", "format code", "lint", "cargo check", "cargo fmt", "cargo clippy", "bin/fmt", "bin/lint", or mentions compiling, building, running, formatting, linting, log filters, jemalloc, CockroachDB setup in Materialize.

When should I use Mz Run?

Mz Run fits situations like: tasks that involve Linting and formatting.

How do I install Mz Run in Claude Code?

Run `npx skills add MaterializeInc/materialize --skill mz-run -a claude-code`. Or copy the skill folder (.agents/skills/mz-run in MaterializeInc/materialize) into .claude/skills/mz-run in your project. Claude Code loads it when a task matches its description.

How do I install Mz Run in Codex?

Run `npx skills add MaterializeInc/materialize --skill mz-run -a codex`. Or copy the skill folder (.agents/skills/mz-run in MaterializeInc/materialize) into .agents/skills/mz-run in your project. Codex loads it when a task matches its description.

Can I use Mz Run 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 MaterializeInc/materialize --skill mz-run -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mz-run, .gemini/skills/mz-run, .github/skills/mz-run and .opencode/skills/mz-run in your project.

What does Mz Run need to run?

Going by SKILL.md and its folder, Mz Run needs the command-line tools its instructions call (cargo, docker and psql). Our summary lists: Docker.

Does Mz Run access the network?

SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Mz Run 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 Mz Run use?

Mz Run has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Mz Run use?

About 970 tokens (SKILL.md is roughly 3.9k 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 Mz Run?

Skills that share tags, products or a category with Mz Run: New Lint (supabase/splinter, 280 stars), Rsigma (timescale/rsigma, 159 stars), Repo Guard (simovilab/databus, 101 stars) and Diesel Guard (ayarotsky/diesel-guard, 121 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mz Run?

MaterializeInc (a GitHub organization) maintains it in MaterializeInc/materialize, which has 6,377 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 8, 2026.

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