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 irahardianto/awesome-agv --skill sql-idiomsgit 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 | $0.00050 | $0.01596 |
| Opus 5.5 | $0.00020 | $0.00638 |
| Sonnet 5.5 | $0.00010 | $0.00319 |
| Haiku 4.5 | $0.00005 | $0.00160 |
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 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 — 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.
- 1mo ago Changed · +50 tokens per session 145ad39df6d2
- 1mo 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 13d ago), licensed MIT. It adds 50 tokens to every session and 1,596 once invoked, about $0.0002 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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system-design-data-architecture
Design system data flows and data-layer ownership, consistency, and store choices from access patterns. Use for critical-flow design, DFD semantic review, data lineage, authority, replication, retention, or a data-tier bottleneck. Avoid unrelated framework stream/dataframe implementation questions.
database-hana
Apply SAP HANA database standards for SQL parameterization, in-memory engine optimization, dynamic IN query chunking, column aliasing on joins, and datatype casting. Use when writing SQL for SAP HANA, optimizing HANA queries, or diagnosing HANA driver errors.
database-redis
Optimize Redis as cache and coordination infrastructure with TTL, eviction, and latency-aware key design. Use when implementing Redis caching, key invalidation, or Redis performance work.
database-mongodb
Apply MongoDB data-modeling, indexing, and query rules from access patterns. Use when designing schemas, choosing embed vs reference, or tuning MongoDB query behavior.
database-postgresql
Apply PostgreSQL standards for migrations, indexing, transactions, and ORM boundaries. Use when editing entities, Prisma schema, migrations, RLS, or query-performance work for PostgreSQL.