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 skills/sammcj/agentic-coding/golang-developmentnpx skills add sammcj/agentic-coding --skill golang-developmentgit clone --depth 1 https://github.com/sammcj/agentic-codingWrote 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/sammcj/agentic-coding/golang-development)<a href="https://agentmods.dev/skills/sammcj/agentic-coding/golang-development"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/golang-development.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 | $0.00014 | $0.00155 |
| Opus 5 | $0.00007 | $0.00077 |
| Sonnet 5 | $0.00003 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
golang-development 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
Go
- Use latest Go version (verify, don't assume). Build with
-ldflags="-s -w" - Check modernity:
go run golang.org/x/tools/gopls/internal/analysis/modernize/cmd/modernize@latest -fix -test ./... - Copy golangci config:
$HOME/git/sammcj/mcp-devtools/.golangci.yml - Idiomatic Go: explicit error handling, early returns, small interfaces, composition, defer for cleanup, table-driven tests
Go Testing
- When working with tests in Go, read in
references/go-testing.mdfor actionable testing guidelines.
What ships with it
2 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.
- 4d ago First seen · 16 lines · 14 tokens per session scan A 9f03a79d032f
golang-development is a skill published in the GitHub repository sammcj/agentic-coding (159 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 155 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.
Other skills, from other repositories
version-check
Recommend which Claude Code version to run, or whether to update. Use when asked which Claude Code version is best/safe, whether to update now, whether a recent release is buggy, or what changed since the installed version.
review-claudemd
Review recent conversations to find improvements for CLAUDE.md files.
handoff
Write or update a handoff document so the next agent with fresh context can continue this work.
Canvas Skill
Present interactive HTML, visualizations, dashboards, and generated interfaces on connected Cybara nodes.
api-debug
Debug REST, GraphQL, webhook, and OAuth/API-key integrations with layered request, auth, schema, and response checks.
adversarial-ux-test
Test an app as a difficult, low-patience persona, then filter complaints into actionable UX issues.