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.
npx skills add travisjneuman/.claude --skill database-expertgit clone --depth 1 https://github.com/travisjneuman/.claudeWrote 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.
[](https://agentmods.dev/skills/travisjneuman/.claude/database-expert)<a href="https://agentmods.dev/skills/travisjneuman/.claude/database-expert"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/database-expert/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.
<a href="https://agentmods.dev/skills/travisjneuman/.claude/database-expert"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/database-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.03248 |
| Opus 5.5 | $0.00014 | $0.01299 |
| Sonnet 5.5 | $0.00007 | $0.00650 |
| Haiku 4.5 | $0.00004 | $0.00325 |
Grade A, and why
database-expert 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 516 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Expert
Comprehensive guide for database design, optimization, and administration.
Database Selection
| Database | Type | Best For |
|---|---|---|
| PostgreSQL | Relational | Complex queries, ACID, JSON support |
| MongoDB | Document | Flexible schemas, rapid iteration |
| Redis | Key-Value | Caching, sessions, real-time |
| SQLite | Embedded | Mobile, desktop, testing |
PostgreSQL
Schema Design
-- Users table with proper constraints
CREATE TABLE users (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
email VARCHAR(255) NOT NULL UNIQUE,
password_hash VARCHAR(255) NOT NULL,
full_name VARCHAR(100) NOT NULL,
status VARCHAR(20) NOT NULL DEFAULT 'active'
CHECK (status IN ('active', 'inactive', 'suspended')),
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
-- Index for common queries
CREATE INDEX idx_users_email ON users(email);
CREATE INDEX idx_users_status ON users(status) WHERE status = 'active';
-- Automatic updated_at trigger
CREATE OR REPLACE FUNCTION update_updated_at_column()
RETURNS TRIGGER AS $$
BEGIN
NEW.updated_at = NOW();
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
CREATE TRIGGER update_users_updated_at
BEFORE UPDATE ON users
FOR EACH ROW
EXECUTE FUNCTION update_updated_at_column();
-- Posts with full-text search
CREATE TABLE posts (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
author_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
title VARCHAR(255) NOT NULL,
content TEXT NOT NULL,
tags TEXT[] DEFAULT '{}',
search_vector TSVECTOR,
published_at TIMESTAMPTZ,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
-- Full-text search index
CREATE INDEX idx_posts_search ON posts USING GIN(search_vector);
Query Optimization
-- EXPLAIN ANALYZE for query analysis
EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT)
SELECT u.full_name, COUNT(p.id) as post_count
FROM users u
LEFT JOIN posts p ON p.author_id = u.id
WHERE u.status = 'active'
GROUP BY u.id
ORDER BY post_count DESC
LIMIT 10;
-- Partial index for filtered queries
CREATE INDEX idx_posts_published
ON posts(published_at)
WHERE published_at IS NOT NULL;
-- Covering index (index-only scan)
CREATE INDEX idx_posts_author_title
ON posts(author_id)
INCLUDE (title, published_at);
-- Expression index
CREATE INDEX idx_users_email_lower
ON users(LOWER(email));
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.
- 1mo ago First seen · 516 lines · 36 tokens per session scan A 91db88d0f5da
database-expert is a skill published in the GitHub repository travisjneuman/.claude (106 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 3,248 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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