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devops-detector开发运营探测器

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

264

周安装

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下载量

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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

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:devops-detector(开发运营探测器)
来源仓库:https://github.com/transilienceai/communitytools
仓库路径:skills/devops-detector
安装命令:
npx skills add https://github.com/transilienceai/communitytools --skill devops-detector
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/transilienceai/communitytools --skill devops-detector

简介

用于辅助云资源、部署、容器和基础设施管理,适合检查配置、整理部署步骤或生成排障思路。

  • 适用于需要自动化运维、CI/CD 流水线搭建或多环境部署的场景。
  • 通过 GitHub 安装,基于仓库信号检测 DevOps 工具栈和技术栈。
  • 使用时需明确目标环境、账号权限和资源组,区分测试与生产操作。
  • 涉及删除或修改网络配置时应先评估影响范围,避免误操作导致服务中断。

SKILL.md

DevOps Detector Skill

Purpose

Detect DevOps tools, CI/CD platforms, containerization, and orchestration from repository signals, job postings, and infrastructure indicators.

Input

Raw signals from Phase 2:

  • repository_signals - CI/CD configs, Dockerfiles, IaC
  • job_signals - DevOps job requirements
  • dns_signals - Service-specific subdomains
  • http_signals - Deployment patterns

Technology Categories

CI/CD Platforms

PlatformDetection SignalsWeight
GitHub Actions.github/workflows/*.yml40
GitLab CI.gitlab-ci.yml40
JenkinsJenkinsfile, jenkins.* subdomain35
CircleCI.circleci/config.yml40
Travis CI.travis.yml35
Azure Pipelinesazure-pipelines.yml40
Bitbucket Pipelinesbitbucket-pipelines.yml35
Drone CI.drone.yml35
TeamCity.teamcity/ directory35
Buildkite.buildkite/ directory35

Build Tools

ToolDetection SignalsWeight
Webpackwebpack.config.js, webpack patterns30
Vitevite.config.js30
Rolluprollup.config.js30
esbuildesbuild patterns25
Turboturbo.json30
Nxnx.json30
Lernalerna.json25
pnpmpnpm-workspace.yaml25

Containerization

TechnologyDetection SignalsWeight
DockerDockerfile, docker-compose.yml40
PodmanContainerfile, podman-compose.yml35
containerdcontainerd config30

Container Orchestration

PlatformDetection SignalsWeight
Kubernetesk8s/, kubernetes/, kustomization.yaml40
Docker Swarmdocker-stack.yml30
Amazon ECSecs-*.json, task definitions35
Nomad*.nomad files30

Infrastructure as Code

ToolDetection SignalsWeight
Terraform*.tf files,.terraform/40
PulumiPulumi.yaml35
AWS CloudFormation*.cfn.yml, template.yaml35
AWS CDKcdk.json35
Ansibleansible.cfg, playbook.yml35
Chefcookbooks/, recipes/30
Puppetmanifests/, modules/30
HelmChart.yaml, charts/35

Monitoring & Observability

ToolDetection SignalsWeight
Prometheusprometheus.yml35
Grafanagrafana.* subdomain30
Datadogdatadog-agent configs35
New Relicnewrelic.yml35
Sentrysentry.properties, dsn in config35
PagerDutypagerduty integration30
OpsGenieopsgenie integration30

Secret Management

ToolDetection SignalsWeight
HashiCorp Vaultvault references30
AWS Secrets Managersecretsmanager patterns30
Dopplerdoppler.yaml30
1Passwordop:// references25

Detection Logic

def detect_devops_technologies(signals):
    results = []

    # CI/CD Detection from Repository
    if signals.repository_signals:
        for file in signals.repository_signals.files:
            # GitHub Actions
            if '.github/workflows/' in file and file.endswith('.yml'):
                results.append({
                    "name": "GitHub Actions",
                    "category": "CI/CD",
                    "signals": [{"type": "config_file", "value": file}],
                    "total_weight": 40
                })

            # GitLab CI
            if file == '.gitlab-ci.yml':
                results.append({
                    "name": "GitLab CI",
                    "category": "CI/CD",
                    "signals": [{"type": "config_file", "value": file}],
                    "total_weight": 40
                })

            # Docker
            if file.lower() in ['dockerfile', 'docker-compose.yml', 'docker-compose.yaml']:
                results.append({
                    "name": "Docker",
                    "category": "Containerization",
                    "signals": [{"type": "config_file", "value": file}],
                    "total_weight": 40
                })

            # Kubernetes
            if any(k8s_indicator in file.lower() for k8s_indicator in ['kubernetes', 'k8s', 'kustomization', 'helm']):
                results.append({
                    "name": "Kubernetes",
                    "category": "Container Orchestration",
                    "signals": [{"type": "config_file", "value": file}],
                    "total_weight": 40
                })

            # Terraform
            if file.endswith('.tf'):
                results.append({
                    "name": "Terraform",
                    "category": "Infrastructure as Code",
                    "signals": [{"type": "config_file", "value": file}],
                    "total_weight": 40
                })

    # Job Posting Analysis
    if signals.job_signals:
        devops_keywords = {
            "kubernetes": ("Kubernetes", "Container Orchestration"),
            "docker": ("Docker", "Containerization"),
            "terraform": ("Terraform", "Infrastructure as Code"),
            "ansible": ("Ansible", "Configuration Management"),
            "jenkins": ("Jenkins", "CI/CD"),
            "github actions": ("GitHub Actions", "CI/CD"),
            "gitlab ci": ("GitLab CI", "CI/CD"),
            "prometheus": ("Prometheus", "Monitoring"),
            "grafana": ("Grafana", "Monitoring"),
            "datadog": ("Datadog", "Monitoring"),
            "aws": ("AWS", "Cloud Platform"),
            "gcp": ("Google Cloud", "Cloud Platform"),
            "azure": ("Azure", "Cloud Platform")
        }

        for keyword, (tech_name, category) in devops_keywords.items():
            if keyword in signals.job_signals.tech_mentions:
                add_if_not_exists(results, tech_name, category, {
                    "type": "job_posting",
                    "value": f"'{keyword}' mentioned in job postings",
                    "frequency": signals.job_signals.tech_mentions[keyword].frequency
                }, 25)

    # DNS-based Detection
    devops_subdomains = {
        "jenkins": ("Jenkins", "CI/CD"),
        "ci": ("CI/CD System", "CI/CD"),
        "build": ("Build System", "CI/CD"),
        "deploy": ("Deployment System", "CI/CD"),
        "grafana": ("Grafana", "Monitoring"),
        "prometheus": ("Prometheus", "Monitoring"),
        "kibana": ("Elastic Stack", "Logging"),
        "argocd": ("Argo CD", "GitOps"),
        "vault": ("HashiCorp Vault", "Secret Management")
    }

    for subdomain in signals.discovered_subdomains:
        for pattern, (tech_name, category) in devops_subdomains.items():
            if pattern in subdomain.lower():
                results.append({
                    "name": tech_name,
                    "category": category,
                    "signals": [{"type": "subdomain", "value": subdomain}],
                    "total_weight": 30
                })

    return results

Output

{
  "skill": "devops_detector",
  "results": {
    "technologies": [
      {
        "name": "GitHub Actions",
        "category": "CI/CD",
        "signals": [
          {
            "type": "config_file",
            "value": ".github/workflows/ci.yml",
            "weight": 40
          },
          {
            "type": "config_file",
            "value": ".github/workflows/deploy.yml",
            "weight": 40
          }
        ],
        "total_weight": 80,
        "workflows_detected": ["ci.yml", "deploy.yml"]
      },
      {
        "name": "Docker",
        "category": "Containerization",
        "signals": [
          {
            "type": "config_file",
            "value": "Dockerfile",
            "weight": 40
          },
          {
            "type": "config_file",
            "value": "docker-compose.yml",
            "weight": 35
          }
        ],
        "total_weight": 75,
        "base_images": ["node:18-alpine", "nginx:alpine"]
      },
      {
        "name": "Kubernetes",
        "category": "Container Orchestration",
        "signals": [
          {
            "type": "config_file",
            "value": "kubernetes/deployment.yaml",
            "weight": 40
          },
          {
            "type": "job_posting",
            "value": "Kubernetes mentioned in 5 job postings",
            "weight": 25
          }
        ],
        "total_weight": 65
      },
      {
        "name": "Terraform",
        "category": "Infrastructure as Code",
        "signals": [
          {
            "type": "config_file",
            "value": "terraform/main.tf",
            "weight": 40
          }
        ],
        "total_weight": 40,
        "providers_detected": ["aws", "cloudflare"]
      },
      {
        "name": "Datadog",
        "category": "Monitoring",
        "signals": [
          {
            "type": "job_posting",
            "value": "Datadog mentioned in DevOps job postings",
            "weight": 25
          }
        ],
        "total_weight": 25
      }
    ],
    "devops_summary": {
      "ci_cd": ["GitHub Actions"],
      "containerization": ["Docker"],
      "orchestration": ["Kubernetes"],
      "iac": ["Terraform"],
      "monitoring": ["Datadog"],
      "maturity_assessment": "Advanced - Full CI/CD pipeline with IaC and container orchestration"
    }
  }
}

Maturity Assessment

DevOps Maturity Levels:

Basic:
- Manual deployments
- No CI/CD detected
- Minimal automation

Intermediate:
- CI/CD pipeline detected
- Containerization (Docker)
- Basic monitoring

Advanced:
- Full CI/CD with multiple stages
- Container orchestration (K8s)
- Infrastructure as Code
- Comprehensive monitoring

Cloud-Native:
- GitOps practices (ArgoCD)
- Service mesh
- Observability stack
- Multi-cloud or hybrid

Error Handling

  • Private repositories: Note as limitation
  • Incomplete config analysis: Provide partial results
  • Job posting only signals: Lower confidence

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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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可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

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