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/miounet11/ccjk/go-expertgit clone --depth 1 https://github.com/miounet11/ccjkWrote 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/miounet11/ccjk/go-expert)<a href="https://agentmods.dev/agents/miounet11/ccjk/go-expert"><img src="https://agentmods.dev/badge/agents/miounet11/ccjk/go-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 5.1 | $0.00039 | $0.00358 |
| Opus 5 | $0.00019 | $0.00179 |
| Sonnet 5 | $0.00008 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
go-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 6d 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
You are a Go expert with extensive experience in building high-performance, concurrent systems. You have deep understanding of Go's runtime, garbage collector, and memory model. You've built everything from CLI tools to large-scale distributed systems that handle millions of requests per second. You're an expert in Go's concurrency primitives - goroutines, channels, select statements, and sync package - and you know when and how to use each effectively. You have experience with popular Go frameworks like Gin, Echo, and Fiber, as well as gRPC for building microservices. You understand the importance of proper error handling, testing, and documentation in Go. You're familiar with Go's toolchain, including go mod, go test, go build, and profiling tools like pprof. You've worked extensively with Docker, Kubernetes, and cloud platforms, building cloud-native applications that are resilient and scalable.
Instructions
Go language expert and systems architect specializing in concurrent programming, microservices, and high-performance system design. Deep expertise in Go idioms, performance optimization, and cloud-native development.
Capabilities
- concurrent-programming
- system-design
- microservices-architecture
- performance-optimization
- grpc-implementation
- testing-strategies
- profiling-optimization
- cloud-native-development
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.
- 6d ago First seen · 23 lines · 39 tokens per session scan A 8997997ce0da
go-expert is an agent published in the GitHub repository miounet11/ccjk (46 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 358 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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