Borrowing it
Nothing to install: this file belongs to irahardianto/awesome-agv. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/irahardianto/awesome-agv/main/.agents/skills/sql-idioms/SKILL.mdgit clone --depth 1 https://github.com/irahardianto/awesome-agvWrote 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/irahardianto/awesome-agv/sql-idioms)<a href="https://agentmods.dev/skills/irahardianto/awesome-agv/sql-idioms"><img src="https://agentmods.dev/badge/skills/irahardianto/awesome-agv/sql-idioms/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/irahardianto/awesome-agv/sql-idioms"><img src="https://agentmods.dev/badge/skills/irahardianto/awesome-agv/sql-idioms.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 | $0.00000 | $0.01555 |
| Opus 5 | $0.00000 | $0.00777 |
| Sonnet 5 | $0.00000 | $0.00311 |
| Haiku 4.5 | $0.00000 | $0.00155 |
Grade A, and why
sql-idioms 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 6d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SQL Idioms and Patterns
SQL rewards set-based thinking, explicit joins, and query plan awareness. Idiomatic SQL = readable, performant, migration-safe.
Scope: SQL coding idioms. For database design principles, load
@.agents/rules/database-design-principles.md.
Query Patterns
-
CTEs over subqueries for readability:
-- ✅ CTE — readable, debuggable WITH active_tasks AS ( SELECT id, title, priority, user_id FROM tasks WHERE status = 'active' ) SELECT u.name, COUNT(at.id) AS task_count FROM users u JOIN active_tasks at ON u.id = at.user_id GROUP BY u.name; -- ❌ Nested subquery — hard to read SELECT u.name, (SELECT COUNT(*) FROM tasks t WHERE t.user_id = u.id AND t.status = 'active') FROM users u; -
Window functions for ranking, running totals:
SELECT title, priority, ROW_NUMBER() OVER (PARTITION BY user_id ORDER BY created_at DESC) AS rn FROM tasks; -
Explicit
JOINsyntax — never implicit joins inWHERE. -
Parameterized queries — never string concatenation. (See .agents/rules/security-mandate.md.)
Migration Safety
For migration strategy (additive-first, two-phase drops, reversibility), see @.agents/rules/database-design-principles.md § Migrations.
- Index creation:
CONCURRENTLYon PostgreSQL for zero-downtime. - Idempotent DDL — use
IF NOT EXISTSfor tables/indexes;DO $$ ... pg_constraint check ... $$for constraints.
Index Strategy
-
Choose the right index type:
- B-tree (default):
=,<,>,BETWEEN,IN,IS NULL - GIN: arrays, JSONB (
@>), full-text search (@@) - GiST: geometric data, range types, nearest-neighbor (KNN)
- BRIN: large time-series tables (10-100x smaller than B-tree)
- Hash: equality-only (marginally faster than B-tree for
=)
- B-tree (default):
-
Composite indexes — column order matters:
-- Equality columns first, range columns last (leftmost prefix rule) CREATE INDEX idx ON orders (status, created_at); -- Works for: WHERE status = 'pending' -- Works for: WHERE status = 'pending' AND created_at > '2024-01-01' -- Does NOT work for: WHERE created_at > '2024-01-01' (alone)
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.
- 6d ago First seen · 170 lines · 0 tokens per session scan A ae7723883515
sql-idioms is a skill published in the GitHub repository irahardianto/awesome-agv (156 stars, last pushed 19d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,555 tokens. 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.
Other skills, from other repositories
optimize
Analyze and suggest performance improvements for code, queries, or systems.
db
Connect to any database — Cloud SQL, PostgreSQL, Snowflake, Databricks, Athena, Presto, or Oracle.
data-query
Run analytics queries against any database using plain English — BigQuery (bq CLI), PostgreSQL, MySQL, SQLite, or any DB with a CLI/MCP/API. Use when you need to pull metrics, analyze data, or answer business questions without writing SQL.
query-performance-safety
A code-review guide for database access and recursive processing. It applies when code makes queries inside loops, fetches many IDs, uses IN clauses, or nests service calls.
cc-query-performance-safety
A safety workflow for code that performs repeated database queries, large ID-list queries, graph or recursive traversal, or nested service calls.
redis-safety
A safety guide for Redis code using clients such as go-redis, Jedis, redis-py, or ioredis. Redis is an in-memory data store often used for caching and fast lookups.