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go-observability去观察性

Agent Skill

go-observability 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

396

周安装

17

GitHub Stars

56

下载量

139
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:go-observability(去观察性)
来源仓库:https://github.com/eduardo-sl/go-agent-skills
仓库路径:skills/go-observability
安装命令:
npx skills add https://github.com/eduardo-sl/go-agent-skills --skill go-observability
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/eduardo-sl/go-agent-skills --skill go-observability

简介

用于查找、检索和筛选相关信息,支持关键词匹配和线索定位。

  • 适合在需要快速定位候选结果的任务场景中使用。
  • 可结合任务目标提供相关技术资料或代码片段参考。
  • 输出结果需人工复核,避免直接依赖工具返回结论。
  • 安装前建议确认来源仓库维护状态和权限范围。go-observability 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Go Observability

Observability is not optional for production services. Every service must produce structured logs, expose metrics, and propagate trace context. Use the stdlib log/slog for logging and OpenTelemetry for tracing and metrics.

1. Structured Logging with slog

Use log/slog (Go 1.21+) as the standard logging package:

// ✅ Good — structured, leveled logging
logger := slog.New(slog.NewJSONHandler(os.Stdout, &slog.HandlerOptions{
    Level: slog.LevelInfo,
}))

logger.Info("user created",
    slog.String("user_id", user.ID),
    slog.String("email", user.Email),
    slog.Duration("latency", elapsed),
)
// ❌ Bad — unstructured printf-style logging
log.Printf("user %s created with email %s in %v", user.ID, user.Email, elapsed)

Pass logger via context or dependency injection:

// ✅ Good — logger as dependency
type UserService struct {
    logger *slog.Logger
    store  UserStore
}

func NewUserService(logger *slog.Logger, store UserStore) *UserService {
    return &UserService{
        logger: logger.With(slog.String("component", "user_service")),
        store:  store,
    }
}
// ❌ Bad — global logger
var logger = slog.Default()

Create child loggers with scoped attributes:

func (s *UserService) CreateUser(ctx context.Context, req CreateUserReq) error {
    log := s.logger.With(
        slog.String("method", "CreateUser"),
        slog.String("request_id", middleware.RequestID(ctx)),
    )

    log.Info("creating user", slog.String("email", req.Email))

    if err := s.store.Insert(ctx, req); err != nil {
        log.Error("failed to create user", slog.Any("error", err))
        return fmt.Errorf("create user: %w", err)
    }

    log.Info("user created successfully")
    return nil
}

Log levels — use them consistently:

LevelUse for
DebugVerbose diagnostic info, disabled in production
InfoNormal operations: request received, job completed
WarnRecoverable issues: retry succeeded, deprecated usage
ErrorFailures requiring attention: DB down, external call failed

NEVER log at Error level for expected conditions (e.g., user not found → Info or Warn).

Sensitive data — NEVER log:

  • Passwords, tokens, API keys
  • Full credit card numbers, SSNs
  • Raw request bodies containing PII
// ✅ Good — redacted
logger.Info("auth attempt", slog.String("user", email), slog.Bool("success", ok))

// ❌ Bad — leaks credentials
logger.Info("auth attempt", slog.String("password", password))

2. Distributed Tracing with OpenTelemetry

Initialize the tracer provider:

func initTracer(ctx context.Context, serviceName string) (*trace.TracerProvider, error) {
    exporter, err := otlptrace.New(ctx, otlptracehttp.NewClient())
    if err != nil {
        return nil, fmt.Errorf("create exporter: %w", err)
    }

    tp := trace.NewTracerProvider(
        trace.WithBatcher(exporter),
        trace.WithResource(resource.NewWithAttributes(
            semconv.SchemaURL,
            semconv.ServiceNameKey.String(serviceName),
        )),
    )
    otel.SetTracerProvider(tp)
    otel.SetTextMapPropagator(propagation.TraceContext{})

    return tp, nil
}

Create spans for significant operations:

func (s *UserService) GetUser(ctx context.Context, id string) (*User, error) {
    ctx, span := otel.Tracer("user-service").Start(ctx, "GetUser")
    defer span.End()

    span.SetAttributes(attribute.String("user.id", id))

    user, err := s.store.FindByID(ctx, id)
    if err != nil {
        span.RecordError(err)
        span.SetStatus(codes.Error, err.Error())
        return nil, fmt.Errorf("get user %s: %w", id, err)
    }

    return user, nil
}

Span naming conventions:

// ✅ Good — operation name, not function name
ctx, span := tracer.Start(ctx, "GetUser")
ctx, span := tracer.Start(ctx, "db.query")
ctx, span := tracer.Start(ctx, "http.request")

// ❌ Bad — too verbose or too generic
ctx, span := tracer.Start(ctx, "github.com/myorg/myapp/internal/user.(*Service).GetUser")
ctx, span := tracer.Start(ctx, "doStuff")

Always propagate context through the call chain:

// ✅ Good — context flows through
func (h *Handler) GetUser(w http.ResponseWriter, r *http.Request) {
    ctx := r.Context() // carries trace context from middleware
    user, err := h.service.GetUser(ctx, id)
    // ...
}

// ❌ Bad — trace context lost
func (h *Handler) GetUser(w http.ResponseWriter, r *http.Request) {
    user, err := h.service.GetUser(context.Background(), id) // breaks trace chain
    // ...
}

3. Metrics with OpenTelemetry / Prometheus

Define metrics at package level:

var (
    requestDuration = promauto.NewHistogramVec(
        prometheus.HistogramOpts{
            Name:    "http_request_duration_seconds",
            Help:    "Duration of HTTP requests in seconds.",
            Buckets: prometheus.DefBuckets,
        },
        []string{"method", "path", "status"},
    )

    requestsTotal = promauto.NewCounterVec(
        prometheus.CounterOpts{
            Name: "http_requests_total",
            Help: "Total number of HTTP requests.",
        },
        []string{"method", "path", "status"},
    )
)

Metric naming conventions:

<namespace>_<subsystem>_<name>_<unit>

http_request_duration_seconds     ✅ (unit in name)
http_requests_total               ✅ (counter with _total suffix)
db_connections_active             ✅ (gauge, no suffix needed)
user_signups                      ❌ (missing _total for counter)
requestLatency                    ❌ (camelCase, no unit)

Instrument HTTP middleware:

func MetricsMiddleware(next http.Handler) http.Handler {
    return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
        start := time.Now()
        ww := &responseWriter{ResponseWriter: w, statusCode: http.StatusOK}

        next.ServeHTTP(ww, r)

        duration := time.Since(start).Seconds()
        status := strconv.Itoa(ww.statusCode)

        requestDuration.WithLabelValues(r.Method, r.URL.Path, status).Observe(duration)
        requestsTotal.WithLabelValues(r.Method, r.URL.Path, status).Inc()
    })
}

Use histograms for latencies, counters for totals, gauges for current state:

TypeUse forExample
CounterMonotonically increasing valuesRequests total, errors total
GaugeValues that go up and downActive connections, queue depth
HistogramDistribution of valuesRequest latency, response size

Keep cardinality low — avoid high-cardinality labels:

// ✅ Good — bounded label values
requestsTotal.WithLabelValues(r.Method, routePattern, status)

// ❌ Bad — unbounded cardinality (user IDs, request IDs)
requestsTotal.WithLabelValues(r.Method, r.URL.Path, userID)

4. Connecting Logs, Traces, and Metrics

Inject trace ID into log entries:

func LogWithTrace(ctx context.Context, logger *slog.Logger) *slog.Logger {
    spanCtx := trace.SpanContextFromContext(ctx)
    if !spanCtx.IsValid() {
        return logger
    }
    return logger.With(
        slog.String("trace_id", spanCtx.TraceID().String()),
        slog.String("span_id", spanCtx.SpanID().String()),
    )
}

// Usage in handlers/services:
func (s *Service) Process(ctx context.Context) error {
    log := LogWithTrace(ctx, s.logger)
    log.Info("processing started") // log includes trace_id and span_id
    // ...
}

5. Graceful Shutdown of Telemetry

func main() {
    ctx := context.Background()

    tp, err := initTracer(ctx, "my-service")
    if err != nil {
        log.Fatalf("init tracer: %v", err)
    }

    // Ensure all spans are flushed on shutdown
    defer func() {
        shutdownCtx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
        defer cancel()
        if err := tp.Shutdown(shutdownCtx); err != nil {
            log.Printf("tracer shutdown: %v", err)
        }
    }()

    // ... start server
}

Verification Checklist

  1. All logging uses log/slog with structured key-value pairs, not fmt.Printf or log.Printf
  2. Logger is injected as a dependency, not used as a global
  3. No sensitive data (passwords, tokens, PII) in log output
  4. Trace context is propagated through all function calls via context.Context
  5. Spans are created for significant operations (DB calls, HTTP requests, business logic)
  6. Spans record errors with span.RecordError(err) and set error status
  7. Metrics follow naming conventions: _seconds, _total, _bytes
  8. No high-cardinality labels (user IDs, request IDs) in metrics
  9. Telemetry providers are shut down gracefully on service exit
  10. Trace IDs are included in log entries for correlation

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.82%
按下载量换算48

Claude

27.77%
按下载量换算39

Cursor

18.71%
按下载量换算26

Gemini CLI

10.26%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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