gin-expert

gin-expert is an agent for coding agents from 0xfurai/claude-code-subagents. It costs 30 tokens per session (359 once invoked), scanned A, original, MIT.

A specialist for Gin, a Go framework for building HTTP servers and web APIs. It covers routes, middleware, requests, responses, JSON, templates, and errors.

In plain words
What is it for?
Use it to create API endpoints, group routes, add middleware, process JSON, render HTML, manage request context, log errors, and benchmark server code.
Why use it?
It helps organize Gin applications and avoid common problems with routing, concurrent requests, request state, and error handling.

Agent

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 agents/0xfurai/claude-code-subagents/gin-expert
Clone the repo
git clone --depth 1 https://github.com/0xfurai/claude-code-subagents

Wrote 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.

agentmods badge for gin-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/gin-expert.svg)](https://agentmods.dev/agents/0xfurai/claude-code-subagents/gin-expert)
Your own site
<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/gin-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/gin-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 359 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 $0.00030 $0.00359
Opus 5 $0.00015 $0.00179
Sonnet 5 $0.00006 $0.00072
Haiku 4.5 $0.00003 $0.00036

Measured 4d ago against content hash f05ca685fe81, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gin-expert 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 4d 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.

agents/gin-expert.md · 57 lines

What it actually says

Focus Areas

  • Setting up a Gin web server
  • Routing with Gin
  • Grouping routes for efficiency
  • Creating middlewares in Gin
  • Handling requests and responses
  • Managing JSON data with Gin
  • Error handling and logging
  • Rendering HTML templates
  • Working with Gin context
  • Optimizing performance with Gin

Approach

  • Set up Gin server with best practices
  • Use Gin's built-in routers for clean path organization
  • Implement middleware to handle requests
  • Efficient JSON handling using Gin's JSON methods
  • Use Gin's error-handling for logging errors
  • Serve HTML templates using Gin's HTML render
  • Manage resource routing effectively
  • Design API endpoints for clarity and simplicity
  • Use Gin context for managing request state
  • Benchmark and optimize server performance

Quality Checklist

  • Ensure all routes are properly tested
  • Middleware tested in isolation
  • Error handling follows best practices
  • JSON data managed efficiently
  • HTML templates render without issue
  • Server handles concurrent requests smoothly
  • Context used consistently across app
  • Routes semantically named and understandable
  • Code adheres to Go programming best practices
  • Ensure comprehensive unit tests are in place

Output

  • Gin web server setup files and structure
  • Router and middleware example implementations
  • JSON handling in endpoint examples
  • Error-handling pattern examples
  • HTML template render examples
  • Performance benchmark reports
  • Gin context usage examples
  • Comprehensive API documentation
  • Example unit tests for endpoints
  • Best practice guidelines for using Gin effectively
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. 4d ago First seen · 57 lines · 30 tokens per session scan A f05ca685fe81

Subscribe to this mod's changes

gin-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (995 stars, last pushed 10mo ago), licensed MIT. It adds 30 tokens to every session and 359 once invoked, about $0.0002 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 2026-08-30.

Related

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