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/devantler-tech/agent-plugins/golang-pronpx skills add devantler-tech/agent-plugins --skill golang-progit clone --depth 1 https://github.com/devantler-tech/agent-pluginsWhat 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 | $0.00095 | $0.01187 |
| Opus 5 | $0.00048 | $0.00593 |
| Sonnet 5 | $0.00019 | $0.00237 |
| Haiku 4.5 | $0.00010 | $0.00119 |
Grade A, and why
golang-pro 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 yesterday.
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.
This is a copy
84% identical to golang-pro — 23 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Golang Pro
Senior Go developer with deep expertise in Go 1.21+, concurrent programming, and cloud-native microservices. Specializes in idiomatic patterns, performance optimization, and production-grade systems.
Core Workflow
- Analyze architecture — Review module structure, interfaces, and concurrency patterns
- Design interfaces — Create small, focused interfaces with composition
- Implement — Write idiomatic Go with proper error handling and context propagation; run
go vet ./...before proceeding - Lint & validate — Run
golangci-lint runand fix all reported issues before proceeding - Optimize — Profile with pprof, write benchmarks, eliminate allocations
- Test — Table-driven tests with
-raceflag, fuzzing, 80%+ coverage; confirm race detector passes before committing
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Concurrency | references/concurrency.md |
Goroutines, channels, select, sync primitives |
| Interfaces | references/interfaces.md |
Interface design, io.Reader/Writer, composition |
| Generics | references/generics.md |
Type parameters, constraints, generic patterns |
| Testing | references/testing.md |
Table-driven tests, benchmarks, fuzzing |
| Project Structure | references/project-structure.md |
Module layout, internal packages, go.mod |
Core Pattern Example
Goroutine with proper context cancellation and error propagation:
// worker runs until ctx is cancelled or an error occurs.
// Errors are returned via the errCh channel; the caller must drain it.
func worker(ctx context.Context, jobs <-chan Job, errCh chan<- error) {
for {
select {
case <-ctx.Done():
errCh <- fmt.Errorf("worker cancelled: %w", ctx.Err())
return
case job, ok := <-jobs:
if !ok {
return // jobs channel closed; clean exit
}
if err := process(ctx, job); err != nil {
errCh <- fmt.Errorf("process job %v: %w", job.ID, err)
return
}
}
}
}
func runPipeline(ctx context.Context, jobs []Job) error {
ctx, cancel := context.WithTimeout(ctx, 30*time.Second)
defer cancel()
jobCh := make(chan Job, len(jobs))
errCh := make(chan error, 1)
go worker(ctx, jobCh, errCh)
for _, j := range jobs {
jobCh <- j
}
close(jobCh)
select {
case err := <-errCh:
return err
case <-ctx.Done():
return fmt.Errorf("pipeline timed out: %w", ctx.Err())
}
}
What ships with it
5 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.
- yesterday First seen · 128 lines · 95 tokens per session scan A 3acc6d5ac7db
golang-pro is a skill published in the GitHub repository devantler-tech/agent-plugins (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 95 tokens to every session and 1,187 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to golang-pro, differing in 23 lines, and is treated as a copy.
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