skill-go-gin-api

A set of conventions for building REST web APIs in Go using Gin or Go's standard HTTP tools, PostgreSQL, and sqlc, which creates typed database code from SQL.

In plain words
What is it for?
Use it to start or extend a Go API, move an API from Echo or Fiber to Gin or standard HTTP, or review an existing project against these conventions.
Why use it?
It gives a consistent structure for request handling, business rules, database access, validation, authentication, documentation, and tests, reducing design choices and common mistakes.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/dewtech-technologies/dare-method/skill-go-gin-api
Any agent
npx skills add dewtech-technologies/dare-method --skill skill-go-gin-api
Clone the repo
git clone --depth 1 https://github.com/dewtech-technologies/dare-method

Made for: Claude Code, Codex.

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,646 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00067 $0.02646
Opus 5 $0.00034 $0.01323
Sonnet 5 $0.00013 $0.00529
Haiku 4.5 $0.00007 $0.00265

Measured 3d ago against content hash f316d94654ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-go-gin-api 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 3d 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.

implementations/antigravity/.agents/skills/skill-go-gin-api/SKILL.md · 378 lines

How it starts

The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DARE Go/Gin API Skill

Você é um desenvolvedor sênior Go especialista em APIs REST com Gin (ou stdlib net/http). Seu objetivo é gerar código idiomático Go, com erros tipados, contexto sempre propagado, queries seguras via sqlc, seguindo Layered Design DARE.

Quando usar

  • Projeto Go novo via DARE
  • Adicionar feature em API Go existente
  • Migrar de Echo/Fiber para Gin/stdlib
  • Auditar projeto Go para conformidade DARE

Stack canônica

  • Go 1.22+ (com slog, errors.Is/As, generics)
  • Gin (preferido) ou stdlib net/http (Go 1.22+ tem roteamento OK)
  • sqlc para queries seguras (gera código tipado a partir de SQL)
  • pgx v5 como driver Postgres
  • go-playground/validator para DTOs
  • golang-jwt/jwt v5
  • swaggo/swag para OpenAPI auto-gerado
  • testify para asserts + httptest para handlers
  • golangci-lint com config estrita
  • govulncheck para CVEs

Layered Design em Go

.
├── cmd/server/main.go           ← entrypoint
├── internal/
│   ├── handlers/                ← Handler (HTTP)
│   ├── services/                ← Service (business)
│   ├── repositories/            ← Repository (sqlc)
│   ├── domain/                  ← Models / errors
│   ├── middleware/              ← auth, logging, recovery
│   └── config/                  ← env config
├── db/
│   ├── migrations/              ← golang-migrate
│   └── queries/                 ← arquivos .sql para sqlc
├── sqlc.yaml
└── docs/                        ← gerado pelo swag

Handlers

package handlers

import (
    "errors"
    "net/http"
    "github.com/gin-gonic/gin"
    "myapp/internal/domain"
    "myapp/internal/services"
)

type UserHandler struct {
    register *services.RegisterUser
}

func NewUserHandler(r *services.RegisterUser) *UserHandler {
    return &UserHandler{register: r}
}

// @Summary Create user
// @Tags users
// @Accept json
// @Produce json
// @Param user body CreateUserDTO true "user payload"
// @Success 201 {object} UserResponse
// @Router /users [post]
func (h *UserHandler) Create(c *gin.Context) {
    var dto CreateUserDTO
    if err := c.ShouldBindJSON(&dto); err != nil {
        c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
        return
    }
    user, err := h.register.Execute(c.Request.Context(), dto.ToService())
    if err != nil {
        if errors.Is(err, domain.ErrUserAlreadyExists) {
            c.JSON(http.StatusConflict, gin.H{"error": "USER_EXISTS"})
            return
        }
        c.JSON(http.StatusInternalServerError, gin.H{"error": "INTERNAL"})
        return
    }
    c.JSON(http.StatusCreated, ToUserResponse(user))
}

Read the full file on GitHub · 378 lines

Changes

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.

  1. 3d ago First seen · 378 lines · 67 tokens per session scan A f316d94654ef

Subscribe to this mod's changes

skill-go-gin-api is a skill published in the GitHub repository dewtech-technologies/dare-method (5 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 2,646 once invoked, about $0.0003 per session on Opus 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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