Borrowing it
Nothing to install: this file belongs to AcKeskin/contexture. 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/AcKeskin/contexture/main/.github/instructions/sql.instructions.mdgit clone --depth 1 https://github.com/AcKeskin/contextureWrote 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/instructions/ackeskin/contexture/sql)<a href="https://agentmods.dev/instructions/ackeskin/contexture/sql"><img src="https://agentmods.dev/badge/instructions/ackeskin/contexture/sql/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/instructions/ackeskin/contexture/sql"><img src="https://agentmods.dev/badge/instructions/ackeskin/contexture/sql.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00627 | $0.00627 |
| Opus 5.5 | $0.00251 | $0.00251 |
| Sonnet 5.5 | $0.00125 | $0.00125 |
| Haiku 4.5 | $0.00063 | $0.00063 |
Grade A, and why
contexture sql.instructions.md 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sql rules
Auto-loaded by Copilot when editing files matching
**/*.sql. Generated fromarchitectural-rules/sql/— do not hand-edit.
SQL formatting
Reserved keywords in UPPERCASE (SELECT, FROM, WHERE, JOIN); identifiers in lower_snake_case. The case split makes structure scannable at a glance.
Right-align root keywords to a "river" so clause bodies start at a common column. Keeps multi-clause queries readable as a block.
One column per line in long SELECT lists; one condition per line in multi-predicate WHERE/ON. Diffs then show exactly what changed.
Alias tables with meaningful short names, not single letters where it hurts readability. Always qualify columns in multi-table queries (o.total, not bare total).
Why: SQL is read far more than written and lives in diffs forever; consistent layout turns a 40-line query from a wall into a structure. Source: SQL Style Guide (sqlstyle.guide / Holywell).
SQL query structure
Name columns explicitly; never SELECT * in application/view code. * breaks silently when the schema changes and ships columns you don't need over the wire.
Use explicit JOIN ... ON syntax, never comma-joins with join conditions in WHERE. The join intent and the filter intent stay separated and visible.
Prefer CTEs (WITH) over deeply nested subqueries. Each step gets a name and reads top-to-bottom instead of inside-out.
Keep predicates sargable — don't wrap an indexed column in a function on the filtered side (WHERE date(ts) = ... defeats the index). Filter on the raw column against a computed bound.
Why: SELECT * and function-wrapped predicates are the two query-structure choices that pass tests and then degrade or break in production as schema and data grow. Source: SQL Style Guide.
SQL schema and DDL
Pick one table-naming convention (singular customer or plural customers) and hold it across the whole schema. Columns in lower_snake_case. Primary key id; foreign keys <referenced_table>_id.
Name every constraint explicitly (pk_, fk_, uq_, chk_ prefixes). Auto-generated constraint names are unreadable in errors and undroppable by name.
Declare NOT NULL explicitly wherever a value is required. Default-nullable columns are a silent invitation to bad data.
Choose surrogate vs natural keys deliberately and document why. Don't reach for an auto-increment id reflexively when a real unique key exists, nor use a mutable natural key as the PK.
Never use reserved words (order, user, select) as identifiers — the quoting it forces everywhere is a permanent tax.
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 · 36 lines · 627 tokens per session scan A 3b40c3c3e2d2
contexture sql.instructions.md is an instructions file published in the GitHub repository AcKeskin/contexture (2 stars, last pushed 2mo ago), licensed MIT. It adds 627 tokens to every session, about $0.0025 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 2026-08-31.
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