Official agent skill

Planetscale Customer Report Template

by planetscale in planetscale/skills

Produce the final PlanetScale best-practices report after running the inventory and relevant review skills.

OfficialMITAuto-check passedDevOps & Cloud

Install Planetscale Customer Report Template

skills CLI
$ npx skills add planetscale/skills --skill planetscale-customer-report-template -a claude-code

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

GitHub CLI
$ gh skill install planetscale/skills planetscale-customer-report-template --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-customer-report-template .claude/skills/planetscale-customer-report-template && 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-customer-report-template
GitHub stars
133
Token cost
~1.9k tokens
SKILL.md length
977 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Produce the final PlanetScale best-practices report after running the inventory and relevant review skills.

  • DevOps & Cloud work in your project
  • SKILL.md covers Purpose, Tone and framing, Run mechanics are separated… and Output surface, plus 9 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Planetscale Customer Report Template is an agent skill from planetscale/skills, published by the product's own GitHub organization. Produce the final PlanetScale best-practices report after running the inventory and relevant review skills.

Its SKILL.md is about 1.9k 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 DevOps & Cloud. 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

  • DevOps & Cloud work in your project

Example prompts

  • “/planetscale-customer-report-template”

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 Customer Report Template loads about 1.9k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 977 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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). 977 words, ~1,888 tokens.

Download SKILL.mdSave it as .claude/skills/planetscale-customer-report-template/SKILL.md (or your agent's skills folder).
name
planetscale-customer-report-template
description
Produce the final PlanetScale best-practices report after running the inventory and relevant review skills.

Customer report template

Purpose

Produce a clear assessment report for a customer database and optional connected repository. The report should be actionable, evidence-backed, and safe. It should separate recommendations from applied changes.

Tone and framing

The report's purpose is an accurate assessment that helps the customer get full value from the platform they run. Feature adoption follows from evidence, never from framing. The register is technical and declarative — an engineer's assessment, not marketing copy.

  • State unused features as capability gaps with quantified impact. Never write "off (good)", "not enabled (safe)", or otherwise present non-adoption as a positive finding. The correct form is: current state, what the feature provides, the measured finding it applies to. Example: "Raw query collection: disabled. Enabling it exposes literal parameter values per execution; applicable to Q1 (38% of total query time), where the pattern-level data is insufficient to isolate the triggering invocation."
  • No enthusiasm markers. Do not use phrases like "earning its keep", "paying off", "easy to adopt", "cutting root-cause time from hours to minutes", or exclamation of any kind. State the mechanism and the measurement; let the numbers carry the argument.
  • Operational costs are stated inline as facts, not softened: "literal values become visible to the observability pipeline" is a property of the feature, stated once, without reassurance.
  • Every recommendation cites the specific finding it addresses — fingerprint, metric, event count, time window. A recommendation without a measurement attached is incomplete.
  • Active features are assessed, not praised. If a feature is enabled, report what it is currently doing in measurable terms ("anomaly detection flagged the connection spike 9 times in 7 days; no delivery channel is configured") and whether its configuration is complete.
  • Fit is part of the analysis: if the evidence does not support a feature for this customer, state that.
  • Recommendations are framed by what the change provides, not by the threat of the current state. Write "a dedicated application role scopes credentials per service and enables rotation without downtime", not "limits the blast radius of credential compromise". Avoid dramatizing vocabulary: "blast radius", "unprotected", "exposed", "public-by-default", "at risk". Real risks are still stated, as facts — "the production branch runs zero replicas; recovery from a primary failure requires a restore" is a finding and belongs in the report. What is excluded is dramatization, not disclosure.
  • Platform behavior is reported with verified semantics, not assumptions. When two API surfaces show different values, they are usually distinct settings — check the documentation and report the effective state. Do not label platform behavior inconsistent, contradictory, or buggy on an unverified assumption. If the semantics cannot be verified, state what each surface reports without drawing a conclusion and direct the question to PlanetScale support. If verified platform behavior is actually wrong, report it factually and route it to PlanetScale support — it is a platform issue, not a customer configuration finding.

Run mechanics are separated from findings

Failures of the assessment tooling — HTTP status codes, MCP errors, CLI failures, token scope problems, timeouts, endpoint probes — describe the run, not the database. They belong in the run log, not in the findings.

  • Where evidence could not be collected, the report says "not assessed in this run" with no error mechanics attached.
  • The evidence appendix contains collected evidence.
  • The run log (tool errors, paths tried, access gaps) accompanies the report and is available to whoever ran the assessment — nothing is withheld. The separation exists because tool errors say nothing about the customer's database.
  • Never conclude a feature is unconfigured from a failed call. "Not configured" requires a successful call that returned an empty result.
Show full SKILL.md (386 more words)Show less

Output surface

The report is plain markdown: headed sections, prose, and pipe tables. This is the baseline and it must always be produced in full — it works in any agent, terminal, or chat surface. If the host agent offers a richer rendering surface (Cursor canvas, HTML preview, a dashboard), it may be used in addition to the markdown report, never instead of it.

Required report format

PlanetScale best-practices assessment

Scope

  • Organization:
  • Database:
  • Branches reviewed:
  • Engine:
  • Repository reviewed:
  • Interfaces used:
  • Time window:
  • Changes applied: none

Executive summary

Write 3-7 bullets. The first bullet states what the platform is currently doing for this database, factually and with measurements — for example: replica topology and failover posture, backup cadence and last successful backup, Insights collection volume, safety features active. This is not praise; it is the operating baseline the rest of the report builds on. Then:

  • Highest-risk safety gaps.
  • Highest-value observability improvements.
  • Highest-value automation opportunities.
  • Engine-specific workflow gaps.
  • Repository instrumentation gaps.

Current state

Database and branch topology

Include evidence.

Safety workflow

For Vitess:

  • Safe migrations.
  • Deploy requests.
  • Approval requirements.
  • Gated deployment usage.
  • Schema revert runbook.

For Postgres:

  • Branch migration workflow.
  • Roles.
  • pg_strict.
  • Traffic Control.
  • Backups/PITR.
  • Connection pooling.
  • Private connectivity and IP restrictions.
Observability
  • Query Insights state.
  • Anomalies.
  • Query tags.
  • Raw query collection posture.
  • Schema recommendations.
Automation
  • Webhooks.
  • Agent loops.
  • CI/PR workflows.
  • Incident routing.
Repository instrumentation
  • Frameworks and ORMs detected.
  • Current SQL comments or tracing.
  • Recommended SQLCommenter package/path.
  • Tag schema.

Recommendations

Use this table structure:

IDRecommendationTargetBenefitRiskApproval neededTest first?Evidence

Recommendation IDs:

  • OBS-* for Insights/query tags.
  • VIT-* for Vitess safety/deploy workflow.
  • PG-* for Postgres roles, pg_strict, Traffic Control, PITR, network.
  • WEB-* for webhooks and automation.
  • APP-* for repository instrumentation.
  • AGENT-* for MCP/agent workflows.

Proposed change set requiring approval

For every proposed change, include:

  • ID.
  • Exact target.
  • Exact change.
  • Interface to use.
  • Why it is recommended.
  • Expected effect.
  • Possible availability impact.
  • Test plan.
  • Rollback plan.
  • Whether it changes production.

Changes intentionally not applied

State clearly:

  • No PlanetScale settings changed.
  • No schema changed.
  • No traffic controls changed.
  • No roles or credentials changed.
  • No webhooks changed.
  • No code changed.
  • No branches, backups, restores, deploy requests, or migrations created.

Evidence appendix

For each evidence item:

  • Source.
  • Command/API/MCP/repository path.
  • Timestamp.
  • Value.
  • Notes.

Final required sentence

End the report with:

“No changes have been applied. Approve specific change IDs before any mutation.”

© 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-customer-report-template of planetscale/skills.

Open the folder on GitHubat commit 999045c

Compare with similar skills

Planetscale Customer Report Template 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 Customer Report Template compared with similar skills
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Cap Feature Building WorkflowCapSoftware/Cap23k—~2.5kAutomated safety check: WarnCustom licence
Monitor CInrwl/nx29k6 repos~4.7kAutomated safety check: PassMIT
Terraform and OpenTofu Guideagentscope-ai/QwenPaw35k6 repos~4.2kAutomated safety check: PassApache-2.0
Vercel Optimize Auditvercel-labs/agent-skills32k9 repos~4.3kAutomated safety check: PassNone
Openclaw Live Updateropenclaw/openclaw392k—~3.7kAutomated safety check: PassMIT

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Works with

Categories

Questions about Planetscale Customer Report Template

What does Planetscale Customer Report Template do?

Produce the final PlanetScale best-practices report after running the inventory and relevant review skills. Planetscale Customer Report Template is an agent skill from planetscale/skills, published by the product's own GitHub organization. Produce the final PlanetScale best-practices report after running the inventory and relevant review skills.

When should I use Planetscale Customer Report Template?

Planetscale Customer Report Template fits situations like: devOps & Cloud work in your project.

How do I install Planetscale Customer Report Template in Claude Code?

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

How do I install Planetscale Customer Report Template in Codex?

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

Can I use Planetscale Customer Report Template 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-customer-report-template -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-customer-report-template, .gemini/skills/planetscale-customer-report-template, .github/skills/planetscale-customer-report-template and .opencode/skills/planetscale-customer-report-template in your project.

What does Planetscale Customer Report Template need to run?

SKILL.md names no scripts, command-line tools or credentials: Planetscale Customer Report Template is instructions for the agent only.

Does Planetscale Customer Report Template 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 Customer Report Template 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 Customer Report Template use?

Planetscale Customer Report Template 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 Customer Report Template use?

About 1.9k tokens (SKILL.md is roughly 7.6k 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 Planetscale Customer Report Template?

Skills that share tags, products or a category with Planetscale Customer Report Template: Cap Feature Building Workflow (CapSoftware/Cap, 23k stars), Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 35k stars) and Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Planetscale Customer Report Template?

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 7, 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.