diagnostic-db-autoload

diagnostic-db-autoload is a skill for Claude Code from dr-robert-li/cowork-wordpress-expert. It costs 67 tokens per session (4,016 once invoked), scanned A, original, MIT.

A WordPress database diagnostic for finding oversized settings that load on every page request. It lists large autoloaded options and links them to likely plugins.

In plain words
What is it for?
Use it to measure autoloaded data, find options above 10KB, sort them by size, and trace them to plugins using database prefix matching.
Why use it?
It helps identify database data that can slow every page, including admin screens and API requests.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the wordpress-expert plugin — 54 skills shipped together

Good fit Use it to measure autoloaded data, find options above 10KB, sort them by size, and trace them to plugins using database prefix matching.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dr-robert-li/cowork-wordpress-expert/diagnostic-db-autoload
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dr-robert-li/cowork-wordpress-expert --skill diagnostic-db-autoload
Clone the repo
git clone --depth 1 https://github.com/dr-robert-li/cowork-wordpress-expert

Made for: Claude Code.

Or install wordpress-expert, the plugin that ships this one along with the rest of its 54 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for diagnostic-db-autoload

README.md
[![agentmods](https://agentmods.dev/badge/skills/dr-robert-li/cowork-wordpress-expert/diagnostic-db-autoload/github.svg)](https://agentmods.dev/skills/dr-robert-li/cowork-wordpress-expert/diagnostic-db-autoload)
Your own site
<a href="https://agentmods.dev/skills/dr-robert-li/cowork-wordpress-expert/diagnostic-db-autoload"><img src="https://agentmods.dev/badge/skills/dr-robert-li/cowork-wordpress-expert/diagnostic-db-autoload/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for diagnostic-db-autoload

Your own site · 80×15
<a href="https://agentmods.dev/skills/dr-robert-li/cowork-wordpress-expert/diagnostic-db-autoload"><img src="https://agentmods.dev/badge/skills/dr-robert-li/cowork-wordpress-expert/diagnostic-db-autoload.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,016 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.04016
Opus 5 $0.00034 $0.02008
Sonnet 5 $0.00013 $0.00803
Haiku 4.5 $0.00007 $0.00402

Measured 11d ago against content hash 24f8c5a97cd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

diagnostic-db-autoload scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/diagnostic-db-autoload/SKILL.md · 338 lines

How it starts

The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Diagnostic: Autoload Bloat Analysis

You analyze the WordPress options table for autoload bloat — data loaded on every page request — and identify large autoloaded options with plugin attribution to help pinpoint which plugins are contributing to database performance overhead.

Overview

WordPress stores site settings in the wp_options table. Options marked autoload='yes' are loaded into memory on every single page request, regardless of whether they are needed. This means:

  • A site with 5MB of autoloaded options loads 5MB of data on every page view
  • Large autoloaded options slow down every request, including admin pages and REST API calls
  • Common culprits: Yoast SEO caches, Elementor CSS data, WooCommerce settings, transient data accidentally marked autoload

The WordPress community benchmark for healthy autoload size is under 900KB. WordPress 6.6 introduced a built-in Site Health warning at 800KB. Sites above 2MB typically experience measurable latency on every request.

How It Works

Prerequisites

Before running checks, you need:

  • Site connection profile from sites.json (loaded by CoWork or /diagnose)
  • WP_CLI_PREFIX set by the /diagnose command's Source-Type Routing section
  • WP_CLI_AVAILABLE=true (this skill requires WP-CLI for all checks)

If WP_CLI_AVAILABLE is false, return a single Warning finding and stop.

Step 1: Dynamic Table Prefix Retrieval

Never hardcode wp_. Always retrieve the prefix dynamically before running any queries:

# Primary method: wp db prefix (most authoritative — reflects active DB handler)
TABLE_PREFIX=$($WP_CLI_PREFIX db prefix 2>/dev/null | tr -d '[:space:]')

# Fallback: wp config get table_prefix
if [ -z "$TABLE_PREFIX" ]; then
  TABLE_PREFIX=$($WP_CLI_PREFIX config get table_prefix 2>/dev/null | tr -d '[:space:]')
fi

# If both fail, cannot proceed
if [ -z "$TABLE_PREFIX" ]; then
  echo '[{"id":"DBHL-AUTOLD-ERR","severity":"Warning","category":"Database Health","title":"Could not determine table prefix","summary":"The autoload analysis could not run because the database table prefix could not be retrieved.","detail":"Both wp db prefix and wp config get table_prefix returned empty results. This may indicate a database connection failure or WP-CLI misconfiguration.","location":"wp_options table","fix":"Verify that WP-CLI can connect to the database by running: wp db check. Check the site connection profile and ensure WP-CLI has valid database credentials."}]'
  exit 0
fi

Read the full file on GitHub · 338 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 338 lines · 67 tokens per session scan A 24f8c5a97cd2

Subscribe to this mod's changes

diagnostic-db-autoload is a skill published in the GitHub repository dr-robert-li/cowork-wordpress-expert (28 stars, last pushed 6mo ago), licensed MIT. It adds 67 tokens to every session and 4,016 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

fix-failing-tests

Diagnose a failing test in the googleapis/mcp-toolbox repo and land a fix by reasoning from the actual error: read the failure, reproduce it, shrink it until the cause is forced into the open, then fix the cause. Use this whenever a test or CI job is red, a build breaks after a change, many packages fail at once, or a…

googleapis/mcp-toolbox · 87 tokens

triage-issues

Triage GitHub issues in the googleapis/mcp-toolbox repo: propose the correct labels (type / priority / product / status), check for duplicates, verify a bug has enough info to act on, and draft a triage comment. Use whenever a maintainer asks you to triage, label, categorize, prioritize, or "look at" an issue (or a…

googleapis/mcp-toolbox · 164 tokens

postgresql-indexing

PostgreSQL indexing best practices for Prowler: index design, partial indexes, partitioned table indexing, EXPLAIN ANALYZE validation, concurrent operations, monitoring, and maintenance. Trigger: When creating or modifying PostgreSQL indexes, analyzing query performance with EXPLAIN, debugging slow queries, reviewing…

prowler-cloud/prowler · 108 tokens

graphjin-eval

Create, extend, run, baseline, and diagnose GraphJin agent evaluations through the graphjin eval CLI.

dosco/graphjin · 27 tokens

axiom-audit-grdb-performance

Use when the user mentions GRDB performance review, slow GRDB queries, app-group database setup audit, a ValueObservation that stopped updating, or pre-release GRDB scan.

CharlesWiltgen/Axiom · 43 tokens

django-perf-review

Django performance code review. Use when asked to "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance", "database performance", "Django ORM issues", or audit Django code for performance problems.

getsentry/skills · 55 tokens