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 agentmods add agents/0xfurai/claude-code-subagents/gin-expertgit clone --depth 1 https://github.com/0xfurai/claude-code-subagentsWrote 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/agents/0xfurai/claude-code-subagents/gin-expert)<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>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 | $0.00030 | $0.00359 |
| Opus 5 | $0.00015 | $0.00179 |
| Sonnet 5 | $0.00006 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
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.
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
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.
- 4d ago First seen · 57 lines · 30 tokens per session scan A f05ca685fe81
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.
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