Safe SQL Execution
supabase/supabase
A skill your agent uses whenever code will build, return, fetch, or execute SQL that runs against a user's real Postgres database — even when the request reads like an ordinary feature or bug fix…
Analyze and optimize a Console/catalog SQL query in user space — diagnose its plan on real relations, then measure candidate rewrites with a faithful synthetic-fleet sweep.
Install Mz Query Perf
$ npx skills add MaterializeInc/materialize --skill mz-query-perf -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MaterializeInc/materialize mz-query-perf --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/MaterializeInc/materialize.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/mz-query-perf .claude/skills/mz-query-perf && 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 "mz-query-perf" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-query-perf into .claude/skills/mz-query-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-query-perf", 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/MaterializeInc/materialize/tree/main/.agents/skills/mz-query-perfType 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 MaterializeInc/materialize --skill mz-query-perf -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MaterializeInc/materialize mz-query-perf --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaterializeInc/materialize.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/mz-query-perf .agents/skills/mz-query-perf && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mz-query-perf" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-query-perf into .agents/skills/mz-query-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-query-perf", 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 MaterializeInc/materialize --skill mz-query-perf -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MaterializeInc/materialize mz-query-perf --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaterializeInc/materialize.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/mz-query-perf .cursor/skills/mz-query-perf && 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 "mz-query-perf" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-query-perf into .cursor/skills/mz-query-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-query-perf", 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/MaterializeInc/materialize.git --path .agents/skills/mz-query-perf--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 MaterializeInc/materialize --skill mz-query-perf -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MaterializeInc/materialize mz-query-perf --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaterializeInc/materialize.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/mz-query-perf .gemini/skills/mz-query-perf && 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 "mz-query-perf" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-query-perf into .gemini/skills/mz-query-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-query-perf", 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 MaterializeInc/materialize mz-query-perfInstalls 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 MaterializeInc/materialize --skill mz-query-perf -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MaterializeInc/materialize.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/mz-query-perf .github/skills/mz-query-perf && 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 "mz-query-perf" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-query-perf into .github/skills/mz-query-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-query-perf", 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 MaterializeInc/materialize --skill mz-query-perf -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MaterializeInc/materialize mz-query-perf --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaterializeInc/materialize.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/mz-query-perf .opencode/skills/mz-query-perf && 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 "mz-query-perf" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-query-perf into .opencode/skills/mz-query-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-query-perf", 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.
Facts
- Skill name
mz-query-perf- GitHub stars
- 6.4k
- Token cost
- ~2.1k tokens
- SKILL.md length
- 1,142 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Analyze and optimize a Console/catalog SQL query in user space — diagnose its plan on real relations, then measure candidate rewrites with a faithful synthetic-fleet sweep.
- Works in 2 steps: diagnose the plan on the REAL relations… → measure magnitude with a FAITHFUL…
- Asked to find performance improvements for a query that reads mzcatalog / mzinternal relations
- SKILL.md covers Phase 1 — diagnose the plan on…, Phase 2 — measure magnitude…, Pitfalls (learned the hard way) and Harness shape (for the Phase-2…, plus 1 more section
- Calls psql
What it does
Mz Query Perf is an agent skill from MaterializeInc/materialize. Analyze and optimize a Console/catalog SQL query in user space — diagnose its plan on real relations, then measure candidate rewrites with a faithful synthetic-fleet sweep. Use when asked to find performance improvements for a query that reads mzcatalog / mzinternal relations.
Its SKILL.md is about 2.1k 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 Databases, covering SQL. It works with SQL and 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
- Asked to find performance improvements for a query that reads mzcatalog / mzinternal relations
- Tasks that involve SQL
Example prompts
- “/mz-query-perf”
Requirements
- Python 3
Workflow steps
2 steps, taken from the step headings in SKILL.md.
- diagnose the plan on the REAL relations (cheap, do this first)
- measure magnitude with a FAITHFUL synthetic sweep (only for candidates)
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:
psql
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
Mz Query Perf loads about 2.1k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 1,142 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.
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 1,142 words (~2,145 tokens).
“A repeatable method for finding and validating performance improvements to a SQL query that reads system catalog / introspection relations (the kind the Console runs against mz_catalog_server). Developed on the cluster-utilization queries.”
- name
- mz-query-perf
Files
Just SKILL.md in .agents/skills/mz-query-perf of MaterializeInc/materialize.
Open the folder on GitHubat commit b760ecc
Compare with similar skills
Mz Query Perf 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 |
|---|---|---|---|---|---|---|
| Mz Query Perf this skillMaterializeInc/materialize | 6.4k | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Safe SQL Executionsupabase/supabase | 111k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Sql2erystemsrx/sql_to_ER | 188 | 1 repos | ~1.1k | Automated safety check: Pass | AGPL-3.0 | |
| SQL Database Support for pRESTprest/prest | 4.6k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Chdb SQLvemetric/vemetric | 394 | 1 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Schema Explorationtimescale/pg-aiguide | 1.9k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Mz Query Perf
What does Mz Query Perf do?
Analyze and optimize a Console/catalog SQL query in user space — diagnose its plan on real relations, then measure candidate rewrites with a faithful synthetic-fleet sweep. Mz Query Perf is an agent skill from MaterializeInc/materialize. Analyze and optimize a Console/catalog SQL query in user space — diagnose its plan on real relations, then measure candidate rewrites with a faithful synthetic-fleet sweep.
When should I use Mz Query Perf?
Mz Query Perf fits situations like: asked to find performance improvements for a query that reads mzcatalog / mzinternal relations; tasks that involve SQL.
How do I install Mz Query Perf in Claude Code?
Run `npx skills add MaterializeInc/materialize --skill mz-query-perf -a claude-code`. Or copy the skill folder (.agents/skills/mz-query-perf in MaterializeInc/materialize) into .claude/skills/mz-query-perf in your project. Claude Code loads it when a task matches its description.
How do I install Mz Query Perf in Codex?
Run `npx skills add MaterializeInc/materialize --skill mz-query-perf -a codex`. Or copy the skill folder (.agents/skills/mz-query-perf in MaterializeInc/materialize) into .agents/skills/mz-query-perf in your project. Codex loads it when a task matches its description.
Can I use Mz Query Perf 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-query-perf -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-query-perf, .gemini/skills/mz-query-perf, .github/skills/mz-query-perf and .opencode/skills/mz-query-perf in your project.
What does Mz Query Perf need to run?
Going by SKILL.md and its folder, Mz Query Perf needs the command-line tools its instructions call (psql). Our summary lists: Python 3.
Does Mz Query Perf 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 Mz Query Perf 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 Query Perf use?
Mz Query Perf 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 Query Perf use?
About 2.1k tokens (SKILL.md is roughly 8.6k 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 Query Perf?
Skills that share tags, products or a category with Mz Query Perf: Safe SQL Execution (supabase/supabase, 111k stars), Sql2er (ystemsrx/sql_to_ER, 188 stars), SQL Database Support for pREST (prest/prest, 4.6k stars) and Chdb SQL (vemetric/vemetric, 394 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mz Query Perf?
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.