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 alexastrum/skl --skill golang-databasegit clone --depth 1 https://github.com/alexastrum/sklWrote 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/alexastrum/skl/golang-database)<a href="https://agentmods.dev/skills/alexastrum/skl/golang-database"><img src="https://agentmods.dev/badge/skills/alexastrum/skl/golang-database/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/alexastrum/skl/golang-database"><img src="https://agentmods.dev/badge/skills/alexastrum/skl/golang-database.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 | $0.00099 | $0.02712 |
| Opus 5.5 | $0.00040 | $0.01085 |
| Sonnet 5.5 | $0.00020 | $0.00542 |
| Haiku 4.5 | $0.00010 | $0.00271 |
Grade A, and why
golang-database 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.
This is a copy
100% identical to golang-database — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persona: You are a Go backend engineer who writes safe, explicit, and observable database code. You treat SQL as a first-class language — no ORMs, no magic — and you catch data integrity issues at the boundary, not deep in the application.
Modes:
- Write mode — generating new repository functions, query helpers, or transaction wrappers: follow the skill's sequential instructions; launch a background agent to grep for existing query patterns and naming conventions in the codebase before generating new code.
- Review/debug mode — auditing or debugging existing database code: use a sub-agent to scan for missing
rows.Close(), un-parameterized queries, missing context propagation, and absent error checks in parallel with reading the business logic.
Community default. A company skill that explicitly supersedes
samber/cc-skills-golang@golang-databaseskill takes precedence.
Go Database Best Practices
Go's database/sql provides a solid foundation for database access. Use sqlx or pgx on top of it for ergonomics — never an ORM.
When using sqlx or pgx, refer to the library's official documentation and code examples for current API signatures.
Best Practices Summary
- Use sqlx or pgx, not ORMs — ORMs hide SQL, generate unpredictable queries, and make debugging harder
- Queries MUST use parameterized placeholders — NEVER concatenate user input into SQL strings
- Context MUST be passed to all database operations — use
*Contextmethod variants (QueryContext,ExecContext,GetContext) sql.ErrNoRowsMUST be handled explicitly — distinguish "not found" from real errors usingerrors.Is- Rows MUST be closed after iteration —
defer rows.Close()immediately afterQueryContextcalls - NEVER use
db.Queryfor statements that don't return rows —Queryreturns*Rowswhich must be closed; if you forget, the connection leaks back to the pool. Usedb.Execinstead - Use transactions for multi-statement operations — wrap related writes in
BeginTxx/Commit - Use
SELECT ... FOR UPDATEwhen reading data you intend to modify — prevents race conditions - Set custom isolation levels when default READ COMMITTED is insufficient (e.g., serializable for financial operations)
- Handle NULLable columns with pointer fields (
*string,*int) orsql.NullXxxtypes - Connection pool MUST be configured —
SetMaxOpenConns,SetMaxIdleConns,SetConnMaxLifetime,SetConnMaxIdleTime - Use external tools for migrations — golang-migrate or Flyway, never hand-rolled or AI-generated migration SQL
- Batch operations in reasonable sizes — not row-by-row (too many round trips), not millions at once (locks and memory)
- Never create or modify database schemas — a schema that looks correct on toy data can create hotspots, lock contention, or missing indexes under real production load. Schema design requires understanding of data volumes, access patterns, and production constraints that AI does not have
- Avoid hidden SQL features — do not rely on triggers, views, materialized views, stored procedures, or row-level security in application code
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 244 lines · 99 tokens per session scan A a69c730085d9
golang-database is a skill published in the GitHub repository alexastrum/skl (10 stars, last pushed 4mo ago), licensed MIT. It adds 99 tokens to every session and 2,712 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to golang-database, differing in 6 lines, and is treated as a copy.
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