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 agentmods add skills/antonrisch/db-skills/query-database-schemanpx skills add antonrisch/db-skills --skill query-database-schemagit clone --depth 1 https://github.com/antonrisch/db-skillsWrote 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/antonrisch/db-skills/query-database-schema)<a href="https://agentmods.dev/skills/antonrisch/db-skills/query-database-schema"><img src="https://agentmods.dev/badge/skills/antonrisch/db-skills/query-database-schema.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00040 | $0.01025 |
| Opus 5 | $0.00020 | $0.00513 |
| Sonnet 5 | $0.00008 | $0.00205 |
| Haiku 4.5 | $0.00004 | $0.00103 |
Grade A, and why
query-database-schema 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 4d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Query Database Schema
Quick Start
Use this skill to quickly answer: what tables exist, what columns/types they have, how tables relate, and what constraints/indexes affect query behavior.
When to use this skill
- onboarding onto an unfamiliar database
- before writing joins, aggregations, or migrations
- when app behavior suggests bad assumptions (nullability, defaults, constraints)
- when documenting schema for teammates
Before running queries, collect:
- database engine (postgres/mysql/sqlite)
- database + schema name (if applicable)
- target tables (or suspected domain area)
Common Database Queries
PostgreSQL
list schemas:
SELECT schema_name
FROM information_schema.schemata
ORDER BY schema_name;
List all tables:
SELECT table_name
FROM information_schema.tables
WHERE table_schema = 'public';
Get table structure:
SELECT
column_name,
data_type,
is_nullable,
column_default
FROM information_schema.columns
WHERE table_name = 'your_table_name'
ORDER BY ordinal_position;
list indexes (including uniqueness):
SELECT
tablename,
indexname,
indexdef
FROM pg_indexes
WHERE schemaname = 'public'
AND tablename = 'your_table_name'
ORDER BY indexname;
list constraints (pk/unique/check/fk):
SELECT
tc.constraint_type,
tc.constraint_name,
kcu.column_name
FROM information_schema.table_constraints tc
LEFT JOIN information_schema.key_column_usage kcu
ON tc.constraint_name = kcu.constraint_name
AND tc.table_schema = kcu.table_schema
WHERE tc.table_schema = 'public'
AND tc.table_name = 'your_table_name'
ORDER BY tc.constraint_type, tc.constraint_name, kcu.ordinal_position;
Find foreign key relationships:
SELECT
tc.table_name,
kcu.column_name,
ccu.table_name AS foreign_table_name,
ccu.column_name AS foreign_column_name
FROM information_schema.table_constraints AS tc
JOIN information_schema.key_column_usage AS kcu
ON tc.constraint_name = kcu.constraint_name
JOIN information_schema.constraint_column_usage AS ccu
ON ccu.constraint_name = tc.constraint_name
WHERE tc.constraint_type = 'FOREIGN KEY';
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.
- 4d ago First seen · 215 lines · 40 tokens per session scan A d53c24c99149
query-database-schema is a skill published in the GitHub repository antonrisch/db-skills (9 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 1,025 once invoked, about $0.0002 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 2026-08-31.
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