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.
git clone --depth 1 https://github.com/andisab/swe-marketplaceWrote 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/andisab/swe-marketplace/dev-go-expert)<a href="https://agentmods.dev/agents/andisab/swe-marketplace/dev-go-expert"><img src="https://agentmods.dev/badge/agents/andisab/swe-marketplace/dev-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 | $0.00018 | $0.00448 |
| Opus 5 | $0.00009 | $0.00224 |
| Sonnet 5 | $0.00004 | $0.00090 |
| Haiku 4.5 | $0.00002 | $0.00045 |
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 8d 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
- Concurrency with goroutines and channels
- Designing interfaces for extensibility
- Error handling with idiomatic Go practices
- Performance optimization and profiling
- Effective use of Go modules and versioning
- Memory management and garbage collection
- Implementing REST APIs with net/http
- Writing unit tests with Go's testing package
- GOPATH and GO111MODULE environment variables
- Utilizing Go's built-in data structures
Approach
- Emphasize simplicity and readability
- Maintain clear and consistent naming conventions
- Leverage structs and interfaces for flexibility
- Perform explicit error handling without exceptions
- Use defer for clean-up actions
- Write concurrent programs using channels
- Optimize performance through profiling and benchmarking
- Practice modularity and reusability in code design
- Utilize GoDoc to document code comprehensively
- Foster collaboration with clear code reviews
Quality Checklist
- Code adheres to Go's conventions (Effective Go)
- Tests cover main functionality with edge cases
- Proper error checking and error messages
- Efficient use of memory and CPU resources
- Competitive performance benchmarks
- Consistent code structure and modularization
- Comprehensive logging and monitoring
- Low bug rate in production systems
- Proper handling of concurrency-related issues
- Regular code reviews with constructive feedback
Output
- Well-structured Go code with a focus on simplicity
- Tests with a high level of coverage and reliability
- Performance profiling documentation and results
- Efficient use of Go tooling for development
- Readable code with detailed GoDoc documentation
- Cleanly formatted code adhering to Go standards
- Maintainable codebase with clear modularization
- Demonstrated proficiency in Go’s concurrency model
- Clear error handling strategy and implementation
- High-quality Go applications ready for production deployment
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.
- 8d ago First seen · 66 lines · 18 tokens per session scan A 32e6f6c1e162
go-expert is an agent published in the GitHub repository andisab/swe-marketplace (21 stars, last pushed 20d ago), licensed MIT. It adds 18 tokens to every session and 448 once invoked, about $0.0001 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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