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golang-samber-slogGo samber slog 搜索

Agent Skill

golang-samber-slog 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

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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

MIT-0

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:golang-samber-slog(Go samber slog 搜索)
来源仓库:https://github.com/samber/golang-samber-slog
安装命令:
openclaw skills install golang-samber-slog
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install golang-samber-slog

简介

用于 Go 结构化日志扩展,支持多处理器管道和采样。

  • 适合在 OpenClaw 中处理日志记录、属性管理和多路输出。
  • 通过 clawhub 安装,结合项目日志需求使用。golang-samber-slog 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装前需确认权限范围和维护状态,注意可能触发文件读写。
  • 建议参考原始 README 了解具体配置和使用场景。

SKILL.md

name
golang-samber-slog
description
Structured logging extensions for Golang using samber/slog-**** packages — multi-handler pipelines (slog-multi), log sampling (slog-sampling), attribute formatting (slog-formatter), HTTP middleware (slog-fiber, slog-gin, slog-chi, slog-echo), and backend routing (slog-datadog, slog-sentry, slog-loki, slog-syslog, slog-logstash, slog-graylog...). Apply when using or adopting slog, or when the codebase already imports any github.com/samber/slog-* package.
user-invocable
false
license
MIT
compatibility
Designed for Claude Code or similar AI coding agents, and for projects using Golang.
metadata
author
samber
version
1.0.3
openclaw
emoji
🪵
homepage
https://github.com/samber/cc-skills-golang
requires
bins
install
[]
allowed-tools
Read Edit Write Glob Grep Bash(go:*) Bash(golangci-lint:*) Bash(git:*) Agent WebFetch mcp__context7__resolve-library-id mcp__context7__query-docs AskUserQuestion

Persona: You are a Go logging architect. You design log pipelines where every record flows through the right handlers — sampling drops noise early, formatters strip PII before records leave the process, and routers send errors to Sentry while info goes to Loki.

samber/slog-\*\*\*\* — Structured Logging Pipeline for Go

20+ composable slog.Handler packages for Go 1.21+. Three core pipeline libraries plus HTTP middlewares and backend sinks that all implement the standard slog.Handler interface.

Official resources:

This skill is not exhaustive. Please refer to library documentation and code examples for more information. Context7 can help as a discoverability platform.

The Pipeline Model

Every samber/slog pipeline follows a canonical ordering. Records flow left to right — place sampling first to drop early and avoid wasting CPU on records that never reach a sink.

record → [Sampling] → [Pipe: trace/PII] → [Router] → [Sinks]

Order matters: sampling before formatting saves CPU. Formatting before routing ensures all sinks receive clean attributes. Reversing this wastes work on records that get dropped.

Core Libraries

LibraryPurposeKey constructors
slog-multiHandler compositionFanout, Router, FirstMatch, Failover, Pool, Pipe
slog-samplingThroughput controlUniformSamplingOption, ThresholdSamplingOption, AbsoluteSamplingOption, CustomSamplingOption
slog-formatterAttribute transformsPIIFormatter, ErrorFormatter, FormatByType[T], FormatByKey, FlattenFormatterMiddleware

slog-multi — Handler Composition

Six composition patterns, each for a different routing need:

PatternBehaviorLatency impact
Fanout(handlers...)Broadcast to all handlers sequentiallySum of all handler latencies
Router().Add(h, predicate).Handler()Route to ALL matching handlersSum of matching handlers
Router().Add(...).FirstMatch().Handler()Route to FIRST match onlySingle handler latency
Failover()(handlers...)Try sequentially until one succeedsPrimary handler latency (happy path)
Pool()(handlers...)Concurrent broadcast to all handlersMax of all handler latencies
Pipe(middlewares...).Handler(sink)Middleware chain before sinkMiddleware overhead + sink
// Route errors to Sentry, all logs to stdout
logger := slog.New(
    slogmulti.Router().
        Add(sentryHandler, slogmulti.LevelIs(slog.LevelError)).
        Add(slog.NewJSONHandler(os.Stdout, nil)).
        Handler(),
)

Built-in predicates: LevelIs, LevelIsNot, MessageIs, MessageIsNot, MessageContains, MessageNotContains, AttrValueIs, AttrKindIs.

For full code examples of every pattern, see Pipeline Patterns.

slog-sampling — Throughput Control

StrategyBehaviorBest for
UniformDrop fixed % of all recordsDev/staging noise reduction
ThresholdLog first N per interval, then sample at rate RProduction — preserves initial visibility
AbsoluteCap at N records per interval globallyHard cost control
CustomUser function returns sample rate per recordLevel-aware or time-aware rules

Sampling MUST be the outermost handler in the pipeline — placing it after formatting wastes CPU on records that get dropped.

// Threshold: log first 10 per 5s, then 10% — errors always pass through via Router
logger := slog.New(
    slogmulti.
        Pipe(slogsampling.ThresholdSamplingOption{
            Tick: 5 * time.Second, Threshold: 10, Rate: 0.1,
        }.NewMiddleware()).
        Handler(innerHandler),
)

Matchers group similar records for deduplication: MatchByLevel(), MatchByMessage(), MatchByLevelAndMessage() (default), MatchBySource(), MatchByAttribute(groups, key).

For strategy comparison and configuration details, see Sampling Strategies.

slog-formatter — Attribute Transformation

Apply as a Pipe middleware so all downstream handlers receive clean attributes.

logger := slog.New(
    slogmulti.Pipe(slogformatter.NewFormatterMiddleware(
        slogformatter.PIIFormatter("user"),          // mask PII fields
        slogformatter.ErrorFormatter("error"),       // structured error info
        slogformatter.IPAddressFormatter("client"),  // mask IP addresses
    )).Handler(slog.NewJSONHandler(os.Stdout, nil)),
)

Key formatters: PIIFormatter, ErrorFormatter, TimeFormatter, UnixTimestampFormatter, IPAddressFormatter, HTTPRequestFormatter, HTTPResponseFormatter. Generic formatters: FormatByType[T], FormatByKey, FormatByKind, FormatByGroup, FormatByGroupKey. Flatten nested attributes with FlattenFormatterMiddleware.

HTTP Middlewares

Consistent pattern across frameworks: router.Use(slogXXX.New(logger)).

Available: slog-gin, slog-echo, slog-fiber, slog-chi, slog-http (net/http).

All share a Config struct with: DefaultLevel, ClientErrorLevel, ServerErrorLevel, WithRequestBody, WithResponseBody, WithUserAgent, WithRequestID, WithTraceID, WithSpanID, Filters.

// Gin with filters — skip health checks
router.Use(sloggin.NewWithConfig(logger, sloggin.Config{
    DefaultLevel:     slog.LevelInfo,
    ClientErrorLevel: slog.LevelWarn,
    ServerErrorLevel: slog.LevelError,
    WithRequestBody:  true,
    Filters: []sloggin.Filter{
        sloggin.IgnorePath("/health", "/metrics"),
    },
}))

For framework-specific setup, see HTTP Middlewares.

Backend Sinks

All follow the Option{}.NewXxxHandler() constructor pattern.

CategoryPackages
Cloudslog-datadog, slog-sentry, slog-loki, slog-graylog
Messagingslog-kafka, slog-fluentd, slog-logstash, slog-nats
Notificationslog-slack, slog-telegram, slog-webhook
Storageslog-parquet
Bridgesslog-zap, slog-zerolog, slog-logrus

Batch handlers require graceful shutdownslog-datadog, slog-loki, slog-kafka, and slog-parquet buffer records internally. Flush on shutdown (e.g., handler.Stop(ctx) for Datadog, lokiClient.Stop() for Loki, writer.Close() for Kafka) or buffered logs are lost.

For configuration examples and shutdown patterns, see Backend Handlers.

Common Mistakes

MistakeWhy it failsFix
Sampling after formattingWastes CPU formatting records that get droppedPlace sampling as outermost handler
Fanout to many synchronous handlersBlocks caller — latency is sum of all handlersUse Pool() for concurrent dispatch
Missing shutdown flush on batch handlersBuffered logs lost on shutdowndefer handler.Stop(ctx) (Datadog), defer lokiClient.Stop() (Loki), defer writer.Close() (Kafka)
Router without default/catch-all handlerUnmatched records silently droppedAdd a handler with no predicate as catch-all
AttrFromContext without HTTP middlewareContext has no request attributes to extractInstall slog-gin/echo/fiber/chi middleware first
Using Pipe with no middlewareNo-op wrapper adding per-record overheadRemove Pipe() if no middleware needed

Performance Warnings

  • Fanout latency = sum of all handler latencies (sequential). With 5 handlers at 10ms each, every log call costs 50ms. Use Pool() to reduce to max(latencies)
  • Pipe middleware adds per-record function call overhead — keep chains short (2-4 middlewares)
  • slog-formatter processes attributes sequentially — many formatters compound. For hot-path attribute formatting, prefer implementing slog.LogValuer on your types instead
  • Benchmark your pipeline with go test -bench before production deployment

Diagnose: measure per-record allocation and latency of your pipeline and identify which handler in the chain allocates most.

Best Practices

  1. Sample first, format second, route last — this canonical ordering minimizes wasted work and ensures all sinks see clean data
  2. Use Pipe for cross-cutting concerns — trace ID injection and PII scrubbing belong in middleware, not per-handler logic
  3. Test pipelines with slogmulti.NewHandleInlineHandler — assert on records reaching each stage without real sinks
  4. Use AttrFromContext to propagate request-scoped attributes from HTTP middleware to all handlers
  5. Prefer Router over Fanout when handlers need different record subsets — Router evaluates predicates and skips non-matching handlers

Cross-References

  • → See samber/cc-skills-golang@golang-observability skill for slog fundamentals (levels, context, handler setup, migration)
  • → See samber/cc-skills-golang@golang-error-handling skill for the log-or-return rule
  • → See samber/cc-skills-golang@golang-security skill for PII handling in logs
  • → See samber/cc-skills-golang@golang-samber-oops skill for structured error context with samber/oops

If you encounter a bug or unexpected behavior in any samber/slog-\* package, open an issue at the relevant repository (e.g., slog-multi/issues, slog-sampling/issues).

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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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

补充不同宿主或平台的使用分布数据

能力 5

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

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按下载量换算1,761

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