Official agent skill

Planetscale Vitess Safety Review

by planetscale in planetscale/skills

Review a PlanetScale Vitess database for safe migrations, deploy requests, schema recommendations, Insights, webhooks, and operational safety.

OfficialMITAuto-check passedBackend & APIs

Install Planetscale Vitess Safety Review

skills CLI
$ npx skills add planetscale/skills --skill planetscale-vitess-safety-review -a claude-code

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

GitHub CLI
$ gh skill install planetscale/skills planetscale-vitess-safety-review --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/planetscale/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/planetscale-vitess-safety-review .claude/skills/planetscale-vitess-safety-review && 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
planetscale-vitess-safety-review
GitHub stars
133
Token cost
~1.7k tokens
SKILL.md length
855 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Review a PlanetScale Vitess database for safe migrations, deploy requests, schema recommendations, Insights, webhooks, and operational safety.

  • Tasks that involve Webhooks
  • SKILL.md covers Purpose, Primary safety features to…, Webhook recommendations for… and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Deployment

What it does

Planetscale Vitess Safety Review is an agent skill from planetscale/skills, published by the product's own GitHub organization. Review a PlanetScale Vitess database for safe migrations, deploy requests, schema recommendations, Insights, webhooks, and operational safety.

Its SKILL.md is about 1.7k 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 Backend & APIs, covering Webhooks and Deployment. It works with PlanetScale. The repository describes itself as: Skills that help you configure and get the most out of PlanetScale. The licence is MIT.

When your agent uses it

  • Tasks that involve Webhooks
  • Tasks that involve Deployment

Example prompts

  • “/planetscale-vitess-safety-review”

What it can do on your machine

Read from SKILL.md and the folder at commit 999045c. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Planetscale Vitess Safety Review loads about 1.7k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 855 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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

The full file from planetscale/skills at commit 999045c, republished under its MIT licence (© planetscale). 855 words, ~1,749 tokens.

Download SKILL.mdSave it as .claude/skills/planetscale-vitess-safety-review/SKILL.md (or your agent's skills folder).
name
planetscale-vitess-safety-review
description
Review a PlanetScale Vitess database for safe migrations, deploy requests, schema recommendations, Insights, webhooks, and operational safety.

Vitess safety review

Purpose

Recommend best practices for a PlanetScale Vitess database. Focus on production safety, deployability, observability, and agent-safe automation. Do not apply any changes.

Primary safety features to evaluate

Safe migrations

Check whether safe migrations are enabled on production and staging branches.

Recommend enabling safe migrations when:

  • The branch receives production traffic.
  • The team runs DDL outside deploy requests.
  • There is no protected branch workflow.
  • The application is expected to evolve schema frequently.

Explain the tradeoff: safe migrations reject direct DDL on protected branches and force schema changes through deploy requests. That is a feature, but it can break teams relying on direct production DDL. Treat enablement as a behavior-changing change requiring approval.

Deploy requests

Check:

  • Whether deploy requests are used for schema changes.
  • Whether administrator approval is required.
  • Whether deploy requests are reviewed for data loss, conflicts, lint errors, foreign key problems, charset issues, and shard impact.
  • Whether teams use gated deployments for cutover control.
  • Whether “deploy instantly” is used and whether the team understands it removes the gated-deployment/revert shape.
  • Whether cutover is regularly delayed by long-running transactions.
  • Whether deploy request events are subscribed to via webhooks.

Recommend:

  • Require deploy requests for production schema changes.
  • Enable administrator approval for production deploy requests when there is more than one administrator.
  • In a single-admin organization, administrator approval does not stop an agent that acts as that admin: the admin who opens a deploy request can also approve it. If the goal is to keep agents from self-approving, give the agent a separate user, or a service token without deploy request approval permission.
  • Prefer normal safe deployments over instant deployments unless the migration is known to be instant-safe and the rollback story is acceptable.
  • Use gated deployment when cutover timing matters.
  • Treat “force cutover now” as an operator-controlled action for delayed cutovers: it aggressively stops running transactions to complete schema cutover. Recommend reviewing the blocking workload and incident context before use, and only recommend the database-level aggressive cutover default when frequent cutover blocking is understood and accepted.
Schema revert

Check whether the team knows the revert window and whether their incident runbook includes it.

Recommend documenting:

  • How to identify a bad schema migration.
  • How to revert within the supported window.
  • Who is authorized to revert.
  • Which application deploy should be rolled back together with the schema revert.
Branch strategy

Recommend a branch topology:

  • main or equivalent production branch with safe migrations enabled.
  • staging branch based from production with safe migrations enabled.
  • Short-lived development branches based from staging.
  • Deploy requests from development to staging, then staging to production when appropriate.

Do not create branches without approval.

Query Insights

Review Insights for:

  • Slow queries.
  • Queries reading too many rows.
  • Erroring queries.
  • Queries with poor index usage.
  • For sharded databases, whether query patterns use relevant vindexes and how vindex usage changes after index or routing changes.
  • Unusual query volume.
  • Missing SQL comment tags.
  • Tag breakdowns when built-in metadata or SQLCommenter tags are present: tag:key:value filtering in the dashboard, and the insights/tags and insights/tags/summaries API endpoints for programmatic breakdowns.
  • Deploy correlation data.

Recommend enabling or improving application query tagging so Insights can attribute queries to app, route, controller, action, job, deployment SHA, and feature.

Show full SKILL.md (325 more words)Show less
Anomalies

Review active and recent anomalies.

Recommend:

  • Subscribe branch.anomaly webhooks to the team’s alerting or automation system.
  • Route anomaly payloads to a triage workflow that opens an issue or agent task.
  • Correlate anomalies with deploy requests, application deploys, and query tags.
  • Do not automatically apply schema or code changes from anomaly events; generate a proposal or PR only.
Schema recommendations

Review open schema recommendations.

For each recommendation, capture:

  • Type: add index, remove redundant index, primary key exhaustion, unused table, legacy charset/collation, or other.
  • Affected table and keyspace.
  • Supporting query telemetry.
  • DDL.
  • Expected benefit.
  • Risk.
  • Test plan.

Recommend implementation path:

  • Convert the recommendation into an application migration or PlanetScale branch schema change.
  • Open a deploy request.
  • Review generated DDL and shard impact.
  • Benchmark or validate on a branch.
  • Deploy with safe migrations.
  • Monitor Insights and anomaly state after deployment.

Do not apply recommendations directly.

Backups and restore

Check backup posture and restore runbooks.

Recommend:

  • Verify automated backups exist.
  • Run a non-production restore drill periodically.
  • Document restore target, RPO/RTO expectation, and application cutover plan.
  • For sharded databases, document shard-aware restore expectations.
Sharding and keyspace safety

If the database is sharded, review:

  • Keyspaces and shards.
  • Vschema.
  • Cross-shard query patterns.
  • Whether schema deploy requests show per-shard impact.
  • Whether queries use shard-friendly access paths.

Recommend an agent-safe sharding review only as a proposal. Never reshard, change vschema, or alter routing automatically.

Webhook recommendations for Vitess

Evaluate and recommend webhooks for:

  • branch.anomaly
  • branch.primary_promoted
  • branch.ready
  • branch.sleeping
  • cluster.storage
  • keyspace.storage
  • deploy_request.opened
  • deploy_request.queued
  • deploy_request.in_progress
  • deploy_request.pending_cutover
  • deploy_request.schema_applied
  • deploy_request.errored
  • deploy_request.reverted
  • deploy_request.closed
  • branch.schema_recommendation if available in the webhook API for the customer’s database

Recommended destinations:

  • Alerting for anomaly, primary promotion, storage, and deploy errors.
  • Slack or internal notifications for deploy request lifecycle.
  • Agent intake queue for schema recommendations and anomalies, with PR-only output by default.

Output

Return:

  • Current Vitess safety posture.
  • Missing safety features.
  • Recommended workflow.
  • Recommended webhook subscriptions.
  • Schema recommendation triage table.
  • Deploy safety gaps.
  • Proposed changes requiring approval.

End with:

“No Vitess changes have been applied.”

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

Files

Just SKILL.md in planetscale-vitess-safety-review of planetscale/skills.

Open the folder on GitHubat commit 999045c

Compare with similar skills

Planetscale Vitess Safety Review 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.

Planetscale Vitess Safety Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Planetscale Vitess Safety Review this skillplanetscale/skills133—~1.7kAutomated safety check: PassMIT
Golivemikehasa/golive-skill1.3k—~13kAutomated safety check: NotesMIT
Ar Io Gateway Operatorar-io/ar-io-node127—~8.8kAutomated safety check: NotesAGPL-3.0
Channel Debug Corevercel-labs/vercel-openclaw-archived117—~2kAutomated safety check: NotesMIT
Tg Bot Opsserejaris/personal-corp-os229—~1.6kAutomated safety check: NotesMIT
Assemblyai Deploy Integrationjeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about Planetscale Vitess Safety Review

What does Planetscale Vitess Safety Review do?

Review a PlanetScale Vitess database for safe migrations, deploy requests, schema recommendations, Insights, webhooks, and operational safety. Planetscale Vitess Safety Review is an agent skill from planetscale/skills, published by the product's own GitHub organization. Review a PlanetScale Vitess database for safe migrations, deploy requests, schema recommendations, Insights, webhooks, and operational safety.

When should I use Planetscale Vitess Safety Review?

Planetscale Vitess Safety Review fits situations like: tasks that involve Webhooks; tasks that involve Deployment.

How do I install Planetscale Vitess Safety Review in Claude Code?

Run `npx skills add planetscale/skills --skill planetscale-vitess-safety-review -a claude-code`. Or copy the skill folder (planetscale-vitess-safety-review in planetscale/skills) into .claude/skills/planetscale-vitess-safety-review in your project. Claude Code loads it when a task matches its description.

How do I install Planetscale Vitess Safety Review in Codex?

Run `npx skills add planetscale/skills --skill planetscale-vitess-safety-review -a codex`. Or copy the skill folder (planetscale-vitess-safety-review in planetscale/skills) into .agents/skills/planetscale-vitess-safety-review in your project. Codex loads it when a task matches its description.

Can I use Planetscale Vitess Safety Review 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 planetscale/skills --skill planetscale-vitess-safety-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/planetscale-vitess-safety-review, .gemini/skills/planetscale-vitess-safety-review, .github/skills/planetscale-vitess-safety-review and .opencode/skills/planetscale-vitess-safety-review in your project.

What does Planetscale Vitess Safety Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Planetscale Vitess Safety Review is instructions for the agent only.

Does Planetscale Vitess Safety Review 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 Planetscale Vitess Safety Review 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 Planetscale Vitess Safety Review use?

Planetscale Vitess Safety Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Planetscale Vitess Safety Review use?

About 1.7k tokens (SKILL.md is roughly 7k 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 Planetscale Vitess Safety Review?

Skills that share tags, products or a category with Planetscale Vitess Safety Review: Golive (mikehasa/golive-skill, 1.3k stars), Ar Io Gateway Operator (ar-io/ar-io-node, 127 stars), Channel Debug Core (vercel-labs/vercel-openclaw-archived, 117 stars) and Tg Bot Ops (serejaris/personal-corp-os, 229 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Planetscale Vitess Safety Review?

planetscale (a GitHub organization, an official publisher) maintains it in planetscale/skills, which has 133 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 10, 2026.

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