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 existential-birds/beagle --skill go-data-persistencegit clone --depth 1 https://github.com/existential-birds/beagleWrote 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/existential-birds/beagle/go-data-persistence)<a href="https://agentmods.dev/skills/existential-birds/beagle/go-data-persistence"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/go-data-persistence/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/existential-birds/beagle/go-data-persistence"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/go-data-persistence.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 | $0.00056 | $0.03248 |
| Opus 5.5 | $0.00022 | $0.01299 |
| Sonnet 5.5 | $0.00011 | $0.00650 |
| Haiku 4.5 | $0.00006 | $0.00325 |
Grade A, and why
go-data-persistence 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 — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Persistence in Go
Quick Reference
| Topic | Reference |
|---|---|
| Connection pool internals, sizing, pgx pools, monitoring | references/connection-pooling.md |
| golang-migrate setup, file conventions, CI/CD integration | references/migrations.md |
| Transaction helpers, service-layer transactions, isolation levels | references/transactions.md |
Choosing Your Approach
Pick the right tool based on your project's needs:
| Factor | Raw SQL (sqlx/pgx) | ORM (Ent/GORM) |
|---|---|---|
| Complex queries | Preferred | Awkward |
| Type safety | Manual | Auto-generated |
| Performance control | Full | Limited |
| Rapid prototyping | Slower | Faster |
| Schema migrations | golang-migrate | Built-in (Ent) |
| Learning curve | SQL knowledge | ORM API |
When to Use Raw SQL (sqlx/pgx)
- You need full control over query performance and execution plans
- Your domain has complex joins, CTEs, window functions, or recursive queries
- You want zero abstraction overhead and direct access to PostgreSQL features
- Your team is comfortable writing and maintaining SQL
- You need advanced PostgreSQL features like
LISTEN/NOTIFY, advisory locks, orCOPY
pgx is the recommended PostgreSQL driver for Go. It provides native PostgreSQL protocol support, better performance than database/sql, and access to PostgreSQL-specific features. Use sqlx when you need database/sql compatibility or work with multiple database backends.
When to Use an ORM (Ent/GORM)
- You want type-safe, generated query builders and avoid writing SQL
- Your schema is mostly CRUD with straightforward relationships
- You value generated code, schema-as-code, and automatic migrations (Ent)
- You are prototyping quickly and want to iterate on the schema fast
Ent is preferred over GORM for new projects. It uses code generation for type safety, has a declarative schema DSL, built-in migration support, and integrates with GraphQL. GORM is suitable if the team already knows it or if the project is small.
What ships with it
3 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 · 348 lines · 56 tokens per session scan A 97693876256c
go-data-persistence is a skill published in the GitHub repository existential-birds/beagle (82 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 3,248 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 2026-09-16.
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