Borrowing it
Nothing to install: this file belongs to hightemp/go_computer_use_mcp_server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hightemp/go_computer_use_mcp_server/main/.github/skills/go-mcp-patterns/SKILL.mdgit clone --depth 1 https://github.com/hightemp/go_computer_use_mcp_serverWrote 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/skills/hightemp/go_computer_use_mcp_server/go-mcp-patterns)<a href="https://agentmods.dev/skills/hightemp/go_computer_use_mcp_server/go-mcp-patterns"><img src="https://agentmods.dev/badge/skills/hightemp/go_computer_use_mcp_server/go-mcp-patterns.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 | $0.00081 | $0.01876 |
| Opus 5 | $0.00041 | $0.00938 |
| Sonnet 5 | $0.00016 | $0.00375 |
| Haiku 4.5 | $0.00008 | $0.00188 |
Grade A, and why
go-mcp-patterns 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 227 lines · 81 tokens per session scan A e6565f29dfb5
go-mcp-patterns is a skill published in the GitHub repository hightemp/go_computer_use_mcp_server (2 stars, last pushed 3mo ago), with no licence file. It adds 81 tokens to every session and 1,876 once invoked, about $0.0004 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.
Other skills, from other repositories
gopls-mcp
Semantic Go code analysis using gopls — type-aware definitions, references, implementations, call hierarchy, dependency graphs, and rename previews. Use these tools for semantic Go tasks; never fall back to grep — gopls sees types, scopes, and interfaces that text search misses.
go-rust-reverse
Use for reverse engineering stripped Go and Rust binaries including runtime recognition, pclntab/moduel data recovery, panic strings, and idiomatic decompilation recovery.
go-best-practices
Go coding best practices. Use when writing or reviewing Go code. Covers error handling, concurrency, and idiomatic patterns.
golang-gin
Gin HTTP web framework for building high-performance Go APIs.
golang-testing
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
golang-patterns
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.