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beylabeyla 搜索

Agent Skill

beyla 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

1,932

周安装

83

GitHub Stars

26

下载量

677
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:beyla(beyla 搜索)
来源仓库:https://github.com/grafana/skills
仓库路径:skills/beyla
安装命令:
npx skills add https://github.com/grafana/skills --skill beyla
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/grafana/skills --skill beyla

简介

beyla 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于根据关键词、任务场景或来源线索进行信息搜索和筛选的场景。
  • 通过 npx skills add 命令从指定仓库安装,需确认权限范围及是否触发联网或文件操作。
  • 使用前建议核实维护状态,避免在不支持的环境中运行导致意外行为。
  • beyla 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Grafana Beyla

Docs: https://grafana.com/docs/beyla/latest/

Beyla is a Grafana eBPF auto-instrumentation tool that captures HTTP/gRPC traffic and generates traces and metrics without modifying application code.

Requirements

  • Linux kernel: 5.8+ with BTF (BPF Type Format) enabled
  • Privileges: root or CAP_SYS_ADMIN; in Kubernetes must run in host PID namespace
  • Architectures: x86_64, ARM64

Check BTF support:

ls /sys/kernel/btf/vmlinux  # must exist

Supported Languages / Runtimes

LanguageHTTPgRPCDB queries
Go
Java (JVM)
Python-
Ruby--
Node.js--
.NET-
Rust-
C/C++--
PHP--

Installation

# Docker
docker run --privileged --pid=host \
  -v /sys/kernel/debug:/sys/kernel/debug:ro \
  -e BEYLA_OPEN_PORT=8080 \
  -e OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector:4318 \
  grafana/beyla

# Kubernetes (Helm)
helm repo add grafana https://grafana.github.io/helm-charts
helm install beyla grafana/beyla \
  --set discovery.services[0].open_port=8080 \
  --set otelTraces.endpoint=http://tempo:4318

Configuration File

# beyla-config.yml
log_level: INFO

discovery:
  services:
    - name: my-app
      open_port: 8080
      # or by process name:
      # exe_path: /usr/bin/myapp
      # or by K8s pod metadata (auto-detected in K8s)

ebpf:
  wakeup_len: 100           # batch size for events
  track_request_headers: false  # enable to capture HTTP headers (high cardinality risk)
  high_request_volume: false    # optimize for high-traffic services

# Distributed tracing output (OTLP)
otel_traces_export:
  endpoint: http://tempo:4318  # HTTP OTLP endpoint
  # Or gRPC:
  # endpoint: tempo:4317
  # protocol: grpc

# Metrics output (Prometheus)
prometheus_export:
  port: 9090
  path: /metrics

# Or metrics via OTLP
otel_metrics_export:
  endpoint: http://prometheus-otlp:9090

Kubernetes Deployment

DaemonSet (recommended for cluster-wide)

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: beyla
  namespace: monitoring
spec:
  selector:
    matchLabels:
      app: beyla
  template:
    metadata:
      labels:
        app: beyla
    spec:
      hostPID: true          # required for eBPF
      serviceAccountName: beyla
      containers:
        - name: beyla
          image: grafana/beyla:latest
          securityContext:
            privileged: true   # or use specific capabilities
            # Alternative (non-privileged):
            # capabilities:
            #   add: [SYS_ADMIN, SYS_PTRACE, NET_ADMIN]
          env:
            - name: BEYLA_OPEN_PORT
              value: "8080"
            - name: OTEL_EXPORTER_OTLP_ENDPOINT
              value: "http://alloy:4318"
          volumeMounts:
            - name: sys-kernel-debug
              mountPath: /sys/kernel/debug
              readOnly: true
      volumes:
        - name: sys-kernel-debug
          hostPath:
            path: /sys/kernel/debug

Network Policies and RBAC

apiVersion: v1
kind: ServiceAccount
metadata:
  name: beyla
  namespace: monitoring
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: beyla
rules:
  - apiGroups: [""]
    resources: [nodes, pods, services, endpoints, namespaces]
    verbs: [get, list, watch]

Environment Variables

VariableDescription
BEYLA_OPEN_PORTPort(s) to instrument (e.g., 8080, 8080-8090)
BEYLA_EXECUTABLE_NAMEProcess name pattern to instrument
OTEL_EXPORTER_OTLP_ENDPOINTOTLP endpoint for traces and metrics
OTEL_EXPORTER_OTLP_PROTOCOLgrpc or http/protobuf (default)
OTEL_SERVICE_NAMEOverride service name in spans
BEYLA_LOG_LEVELDEBUG, INFO, WARN, ERROR
BEYLA_PROMETHEUS_PORTPort for Prometheus metrics scrape
BEYLA_PROMETHEUS_PATHPath for Prometheus metrics (default /metrics)

Grafana Cloud Integration

# Using Alloy as the OTLP receiver
otel_traces_export:
  endpoint: http://alloy:4318   # Alloy forwards to Grafana Cloud Tempo

otel_metrics_export:
  endpoint: http://alloy:4318   # Alloy forwards to Grafana Cloud Prometheus

Via Alloy config:

otelcol.receiver.otlp "beyla" {
  http { endpoint = "0.0.0.0:4318" }
  output {
    traces  = [otelcol.exporter.otlp.grafana_cloud.input]
    metrics = [otelcol.exporter.prometheus.local.input]
  }
}

Routes Decorator (Cardinality Control)

Critical for production — prevents HTTP path cardinality explosion:

routes:
  patterns:
    - /user/{id}
    - /api/v1/resources/{resource_id}
  ignored_patterns:
    - /health
    - /metrics
  ignore_mode: traces    # or: metrics, both
  unmatched: heuristic   # or: path, wildcard, low-cardinality

unmatched strategies: heuristic (replaces numeric IDs, best default), low-cardinality (threshold-based collapsing), wildcard (/**), path (actual path — risk of explosion).

Trace Sampling

otel_traces_export:
  sampler:
    name: "parentbased_traceidratio"  # parent-aware fraction sampling
    arg: "0.1"    # 10% sampling — arg is a quoted string

Samplers: always_on, always_off, traceidratio, parentbased_always_on (default), parentbased_traceidratio.

Generated Metrics

MetricTypeDescription
http.server.request.durationHistogramInbound HTTP request duration
http.client.request.durationHistogramOutbound HTTP request duration
rpc.server.durationHistogramgRPC server call duration
rpc.client.durationHistogramgRPC client call duration
db.client.operation.durationHistogramDB query duration

Labels: http.method, http.route, http.response.status_code, service.name, service.namespace

Kubernetes Auto-Discovery

In Kubernetes, Beyla auto-discovers pods and enriches telemetry with K8s metadata:

discovery:
  services:
    - k8s_namespace: "production"     # instrument all pods in namespace
    - k8s_pod_name: "frontend.*"      # by pod name regex
    - k8s_deployment_name: "api"      # by deployment name
    - open_port: 8080                 # or by port (any pod)

Auto-enriched span attributes: k8s.namespace.name, k8s.pod.name, k8s.node.name, k8s.deployment.name

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

32.6%
按下载量换算221

Claude

30.36%
按下载量换算206

Cursor

20.4%
按下载量换算138

Gemini CLI

10.2%
按下载量换算69

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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