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 skills add endorphin-ai/claude-code-teams --skill golanggit clone --depth 1 https://github.com/endorphin-ai/claude-code-teamsWrote 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/endorphin-ai/claude-code-teams/golang)<a href="https://agentmods.dev/skills/endorphin-ai/claude-code-teams/golang"><img src="https://agentmods.dev/badge/skills/endorphin-ai/claude-code-teams/golang.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 | $0.00029 | $0.03243 |
| Opus 5 | $0.00015 | $0.01622 |
| Sonnet 5 | $0.00006 | $0.00649 |
| Haiku 4.5 | $0.00003 | $0.00324 |
Grade A, and why
golang 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.
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 ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 464 lines · 29 tokens per session scan A 88d2a26773a4
golang is a skill published in the GitHub repository endorphin-ai/claude-code-teams (3 stars, last pushed 6mo ago), with no licence file. It adds 29 tokens to every session and 3,243 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 2026-08-31.
Other skills, from other repositories
golang-pro
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go
Use when writing, reviewing, testing, or shipping Go code and HTTP services: idioms, %w error wrapping, goroutine/context/errgroup concurrency, net/http 1.22 routing, log/slog, project layout, table-driven tests, Go hardening. NOT language-agnostic threat modeling (that is secure-coding), NOT Dockerfile/CI shipping…
go
Use when writing Go services, CLIs, or libraries. Covers idiomatic error wrapping, goroutine and context discipline, interface design, table-driven tests, and the race detector.
golang-context-patterns
Context usage patterns for Go including cancellation, timeouts, deadlines, and database transactions. Use when handling HTTP requests, database operations, or implementing cancellation and timeout logic.
py2go
Migrate Python projects to idiomatic Go end-to-end. Branches into 6 project-type playbooks (CLI, TUI, HTTP backend, data pipeline, async worker, library) with the right stack defaults (Gin, pgx, sqlc, slog, etc.) and pinned library versions. Default strategy: LLM module-by-module rewrite with golden-file parity tests…
go-clean-architecture
Use when scaffolding or refactoring a Go service into a framework-agnostic clean (hexagonal) architecture: Domain, Usecase, Repository, Delivery layers, inward dependency rule, 'framework/database is a detail'. Apply when untangling a monolith or checking whether business logic is testable without HTTP or DB.