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  3. PlanetScale MCP Agent Operating Model skill
planetscale · 2K installs

PlanetScale MCP Agent Operating Model skill
Runs by itself, daily recommendation sweep.

Schema fixes proposed, never auto-deployed.

Install the PlanetScale MCP Agent Operating Model skill and make it a habit: follow https://gethabit.dev/skills/planetscale/planetscale-mcp-agent-operating-model.md

  1. 1Copy
  2. 2Paste into Claude Code, Codex or Cursor
  3. 3It runs by itself

2K installs135 starsMIT licenceSource on GitHub ↗

PlanetScale MCP Agent Operating Model

by planetscale · 2K installs

The skill

The planetscale mcp agent operating model skill helps database teams set safe rules for agents using PlanetScale MCP, Insights and schema recommendations, with loops that propose work and never mutate production alone.

Only when you ask.

The habit

Schema fixes proposed, never auto-deployed.

↻ Runs by itselfdaily recommendation sweep

How the habit works.
You don't have to.

Three questionsWhen does it start? How does it check its work? What does it remember?

01

It starts by itself

daily recommendation sweep. Runs in Claude Code routine or cron.

  • ↻ daily recommendation sweep
  • 0 6 * * *

02

It checks its work

you approve database changes. If a check fails, it stops.

  • ✓no write SQL or DDL ran against production
  • ✓no issue filed twice for the same fingerprint or recommendation ID
  • ✓each PR carries fingerprint, metrics and expected effect
  • ✓report ends with the statement that no MCP write tools were used

03

It remembers

filed recommendations log. The next run reads it first: recommendation IDs and fingerprints already filed.

loops/planetscale-recommendation-loop/run-log.md

One run, step by step.
Then it stops.

Stop ruleStops after 3 recommendations per run.

  1. 01

    Read authorization

    Re-read the project AGENTS.md targeting and approval rules at run start.

  2. 02

    Read recommendations

    List open schema recommendations and top Insights regressions with the insights-only MCP server.

  3. 03

    Correlate

    Match query patterns to the repository code that issues them.

  4. 04

    Propose

    Create a dev branch, apply the DDL there, open a PR and a deploy request, or file an issue.

  5. 05

    You review

    You review and make every merge or deploy decision.

  6. 06

    Log

    Record filed IDs and send status to the configured channel.

What it may do.
Nothing more.

Safe by defaultIt writes only in its own folder and asks you before anything goes out.

Is it for you?
Use it when it fits.

Quick checkRead both lists. If the left one sounds like you, the PlanetScale MCP Agent Operating Model skill helps.

Use it when

  • ✓ You connect agents to PlanetScale MCP
  • ✓ You want daily schema recommendation PRs
  • ✓ You define agent approval gates

Skip it when

  • – You want fully autonomous production changes
  • – You do not use PlanetScale

Questions

PlanetScale MCP Agent Operating Model skill, answered.

Will it deploy to production?

No. Deploying a deploy request is a review-gate action left to a human by default.

Can it edit AGENTS.md?

Not without approval; it recommends what to add.

How do I install the PlanetScale MCP Agent Operating Model skill?

Copy the prompt at the top into your agent. It installs the skill from planetscale/skills and sets up the habit. Or run npx skills add planetscale/skills --skill planetscale-mcp-agent-operating-model.

Is the PlanetScale MCP Agent Operating Model skill free?

Yes. It is published under MIT. Habit is free too.

PlanetScale MCP Agent Operating Model. Now as a habit.

Install the PlanetScale MCP Agent Operating Model skill and make it a habit: follow https://gethabit.dev/skills/planetscale/planetscale-mcp-agent-operating-model.md

  • Free
  • No account
  • Undo in one line

All planetscale skills →More ops skills →

Works in

  • Claude Code
  • Codex
  • Cursor
  • ChatGPT
  • Claude app

Made by planetscale, published under MIT. Habit links to the original and never changes it. Is this your skill?

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