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/codelably/harmony-claude-code/golang-patternsnpx skills add codelably/harmony-claude-code --skill golang-patternsgit clone --depth 1 https://github.com/codelably/harmony-claude-codeWhat 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 | $0.00027 | $0.03923 |
| Opus 5 | $0.00014 | $0.01962 |
| Sonnet 5 | $0.00005 | $0.00785 |
| Haiku 4.5 | $0.00003 | $0.00392 |
Grade A, and why
golang-patterns scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
data, _ := fetch(url) How it starts
The opening of the file, as written. The whole thing — 674 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Go 開發模式
用於建構穩健、高效且可維護應用程式的慣用 Go 模式和最佳實務。
何時啟用
- 撰寫新的 Go 程式碼
- 審查 Go 程式碼
- 重構現有 Go 程式碼
- 設計 Go 套件/模組
核心原則
1. 簡單與清晰
Go 偏好簡單而非聰明。程式碼應該明顯且易讀。
// 良好:清晰直接
func GetUser(id string) (*User, error) {
user, err := db.FindUser(id)
if err != nil {
return nil, fmt.Errorf("get user %s: %w", id, err)
}
return user, nil
}
// 不良:過於聰明
func GetUser(id string) (*User, error) {
return func() (*User, error) {
if u, e := db.FindUser(id); e == nil {
return u, nil
} else {
return nil, e
}
}()
}
2. 讓零值有用
設計類型使其零值無需初始化即可立即使用。
// 良好:零值有用
type Counter struct {
mu sync.Mutex
count int // 零值為 0,可直接使用
}
func (c *Counter) Inc() {
c.mu.Lock()
c.count++
c.mu.Unlock()
}
// 良好:bytes.Buffer 零值可用
var buf bytes.Buffer
buf.WriteString("hello")
// 不良:需要初始化
type BadCounter struct {
counts map[string]int // nil map 會 panic
}
3. 接受介面,回傳結構
函式應接受介面參數並回傳具體類型。
// 良好:接受介面,回傳具體類型
func ProcessData(r io.Reader) (*Result, error) {
data, err := io.ReadAll(r)
if err != nil {
return nil, err
}
return &Result{Data: data}, nil
}
// 不良:回傳介面(不必要地隱藏實作細節)
func ProcessData(r io.Reader) (io.Reader, error) {
// ...
}
錯誤處理模式
帶上下文的錯誤包裝
// 良好:包裝錯誤並加上上下文
func LoadConfig(path string) (*Config, error) {
data, err := os.ReadFile(path)
if err != nil {
return nil, fmt.Errorf("load config %s: %w", path, err)
}
var cfg Config
if err := json.Unmarshal(data, &cfg); err != nil {
return nil, fmt.Errorf("parse config %s: %w", path, err)
}
return &cfg, nil
}
自訂錯誤類型
// 定義領域特定錯誤
type ValidationError struct {
Field string
Message string
}
func (e *ValidationError) Error() string {
return fmt.Sprintf("validation failed on %s: %s", e.Field, e.Message)
}
// 常見情況的哨兵錯誤
var (
ErrNotFound = errors.New("resource not found")
ErrUnauthorized = errors.New("unauthorized")
ErrInvalidInput = errors.New("invalid input")
)
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.
- 2d ago First seen · 674 lines · 27 tokens per session scan A 41f32e01b14f
golang-patterns is a skill published in the GitHub repository codelably/harmony-claude-code (42 stars, last pushed 6mo ago), licensed MIT. It adds 27 tokens to every session and 3,923 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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systematic-debugging
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chat-pet-sprite-creation
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cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.