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Agent Skill · 研究检索

monitoring-authoring(监控创作)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

monitoring-authoring 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 47,935。

总安装 710周安装 29GitHub Stars 22下载 230核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:monitoring-authoring(监控创作)
来源仓库:https://github.com/ionfury/homelab
仓库路径:skills/monitoring-authoring
安装命令:
npx skills add https://github.com/ionfury/homelab --skill monitoring-authoring
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/ionfury/homelab --skill monitoring-authoring

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

monitoring-authoring 用于辅助安全审计、权限检查、凭据风险和认证流程分析。适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

使用时不能把工具输出直接当最终结论,涉及密钥、令牌或生产系统时应先确认最小权限和操作边界。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/monitoring-authoring

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/ionfury/homelab --skill monitoring-authoring;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

monitoring-authoring 怎么安装?

在终端执行 npx skills add https://github.com/ionfury/homelab --skill monitoring-authoring。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

monitoring-authoring 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

monitoring-authoring 需要什么权限?

权限级别是需要联网。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。

monitoring-authoring 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

monitoring-authoring 用的人多吗?

公开数据是累计安装 710 次,近一周安装 29 次,下载 230 次,GitHub 22 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

monitoring-authoring 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
monitoring-authoring

监控创作 · 本页

71022需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Monitoring Resource Authoring

This skill covers creating and modifying monitoring resources. For querying Prometheus or investigating alerts, see the prometheus skill and sre skill.

Resource Types

ResourceAPI GroupPurpose
PrometheusRulemonitoring.coreos.com/v1Alert rules and recording rules
ServiceMonitormonitoring.coreos.com/v1Scrape metrics from Services
PodMonitormonitoring.coreos.com/v1Scrape metrics from Pods directly
ScrapeConfigmonitoring.coreos.com/v1alpha1Advanced scrape configuration
AlertmanagerConfigmonitoring.coreos.com/v1alpha1Routing, receivers, silencing
Silenceobservability.giantswarm.io/v1alpha2Declarative Alertmanager silences
Canarycanaries.flanksource.com/v1Synthetic health checks (HTTP, TCP, K8s)

See [references/file-placement.md] for where to put each resource type and naming conventions.


PrometheusRule Authoring

Every PrometheusRule must include release: kube-prometheus-stack label for Prometheus to discover it.

PrometheusRule template: see references/alert-patterns.md

Severity and for Duration

Severityfor DurationUse CaseRouting
critical2m-5mService down, data loss riskDiscord
warning5m-15mDegraded performance, limitsDiscord
info10m-30mInformational, non-urgentSilenced by InfoInhibitor

Guidelines: for: 0m only for instant failures (e.g., SMART fail). Most alerts: 5m default. Flap-prone metrics (error rates, latency): 10m-15m. Use 5m for absence detection.

Alert Grouping

Group related alerts in named rule groups — affects Prometheus UI ordering:

spec:
  groups:
    - name: cilium-agent       # Agent availability and health
      rules: [...]
    - name: cilium-bpf         # BPF subsystem alerts
      rules: [...]

See [references/alert-patterns.md] for common alert patterns (down, error rate, latency, capacity, PVC), annotation template functions, and recording rule examples.


ServiceMonitor and PodMonitor

Via Helm Values (Preferred)

serviceMonitor:
  enabled: true
  interval: 30s
  scrapeTimeout: 10s

Manual ServiceMonitor

Place in monitoring namespace; use namespaceSelector to reach target namespace. Required label: release: kube-prometheus-stack.

---
# yaml-language-server: $schema=https://raw.githubusercontent.com/datreeio/CRDs-catalog/main/monitoring.coreos.com/servicemonitor_v1.json
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: <component>
  namespace: monitoring
  labels:
    release: kube-prometheus-stack    # REQUIRED
spec:
  namespaceSelector:
    matchNames: [<target-namespace>]
  selector:
    matchLabels:
      app.kubernetes.io/name: <component>
  endpoints:
    - port: http-monitoring
      path: /metrics
      interval: 30s

Manual PodMonitor

Use when pods expose metrics but don't have a Service (DaemonSets, sidecars). Same pattern as ServiceMonitor with podMetricsEndpoints instead of endpoints, and numeric ports quoted: port: "15020". For matchExpressions selecting multiple values, see any existing Flux PodMonitor in config/monitoring/.

See [references/alertmanagerconfig-reference.md] for AlertmanagerConfig routing, Silence CR templates, and matcher reference.


Canary Health Checks

Canary resources live in config/canary-checker/ (platform) or alongside app config.

HTTP health check:

---
# yaml-language-server: $schema=https://kubernetes-schemas.pages.dev/canaries.flanksource.com/canary_v1.json
apiVersion: canaries.flanksource.com/v1
kind: Canary
metadata:
  name: http-check-<component>
spec:
  schedule: "@every 1m"
  http:
    - name: <component>-health
      url: https://<component>.${internal_domain}/health
      responseCodes: [200]
      maxSSLExpiry: 7
      thresholdMillis: 5000

Kubernetes resource check with CEL (preferred over ready: true — avoids penalizing pods with restart history):

spec:
  interval: 60
  kubernetes:
    - name: <component>-pods-healthy
      kind: Pod
      namespaceSelector:
        name: <namespace>
      resource:
        labelSelector: app.kubernetes.io/name=<component>
      test:
        expr: >
          dyn(results).all(pod,
            pod.Object.status.phase == "Running" &&
            pod.Object.status.conditions.exists(c, c.type == "Ready" && c.status == "True")
          )

canary_check == 1 triggers CanaryCheckFailure (critical, 2m). No per-canary alert needed.


Workflow: Adding Monitoring for a New Component

Check if the chart provides monitoring via Helm values first (kubesearch <chart-name> serviceMonitor) → enable via values if available → else create ServiceMonitor/PodMonitor + PrometheusRule + Canary manually → place in correct directory → register in kustomization → task k8s:validate → verify after deployment:

# Check ServiceMonitor is discovered
kubectl --context <cluster> exec -n monitoring prometheus-kube-prometheus-stack-0 -c prometheus -- \
  wget -qO- 'http://localhost:9090/api/v1/targets' | \
  jq '.data.activeTargets[] | select(.labels.job | contains("<component>"))'

# Check alert rules are loaded
kubectl --context <cluster> exec -n monitoring prometheus-kube-prometheus-stack-0 -c prometheus -- \
  wget -qO- 'http://localhost:9090/api/v1/rules' | \
  jq '.data.groups[] | select(.name | contains("<component>"))'

For PrometheusRule validation before committing, see [scripts/validate-rules.sh].


Common Mistakes

MistakeImpactFix
Missing release: kube-prometheus-stack labelPrometheus ignores the resourceAdd to metadata.labels
ServiceMonitor selector does not match any serviceNo metrics scraped, no errorVerify labels with kubectl get svc -n <ns> --show-labels
Using ready: true in canary Kubernetes checksFalse negatives after pod restartsUse CEL test.expr
Hardcoding domains in canary URLsBreaks across clustersUse ${internal_domain}
Very short for on flappy metricsAlert noiseUse 10m+ for error rates and latencies
Creating alerts for non-existent metricsAlert stuck in "pending"Verify metrics exist in Prometheus first

Keywords

PrometheusRule, ServiceMonitor, PodMonitor, ScrapeConfig, AlertmanagerConfig, Silence, silence-operator, canary-checker, Canary, recording rules, alert rules, monitoring, observability, scrape targets, prometheus, alertmanager, discord, heartbeat

平台分布

Codex

36.72%
按下载量换算84

Claude

27.28%
按下载量换算63

Cursor

21.01%
按下载量换算48

Gemini CLI

10.2%
按下载量换算23

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。目前只有一个公开来源,建议同时核对源仓库。

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