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eve-pipelines-workflowseve 管道工作流程

Agent Skill

eve-pipelines-workflows 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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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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:eve-pipelines-workflows(eve 管道工作流程)
来源仓库:https://github.com/incept5/eve-skillpacks
仓库路径:skills/eve-pipelines-workflows
安装命令:
npx skills add https://github.com/incept5/eve-skillpacks --skill eve-pipelines-workflows
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/incept5/eve-skillpacks --skill eve-pipelines-workflows

简介

eve-pipelines-workflows 提供自动化构建和部署的工作流模式,支持手动触发和 webhook 集成。

  • 适用于定义 v2 steps 类型的 pipeline,包含 build、release 和 deploy 等内置 action。
  • 可通过 depends_on 控制步骤执行顺序,支持 script 和 agent 类型扩展。
  • GitHub 和 Slack 钩子可用于创建 pipeline runs,实现 CI/CD 自动化。
  • 安装前需确认是否会修改 pipelines 配置或触发外部系统调用。

SKILL.md

Eve Pipelines and Workflows

Use these patterns to automate build and deploy actions and invoke workflow jobs.

Pipelines (v2 steps)

  • Define pipelines under pipelines in .eve/manifest.yaml.
  • Steps can be action, script, or agent.
  • Use depends_on to control ordering.
  • Built-in actions include build, release, deploy, run, job, create-pr.
  • Run manually:

- eve pipeline list - eve pipeline show <project> <name> - eve pipeline run <name> --ref <sha> --env <env> --repo-dir./my-app

  • Trigger blocks exist in the manifest; GitHub and Slack webhooks can create pipeline runs.

Built-in Actions

build action

Build actions create BuildSpec and BuildRun records that are tracked and observable:

  • Creates BuildSpec (defines what to build) and BuildRun (execution record) in the database
  • Outputs include build_id and image_digests map (service name to SHA256 digest)
  • These outputs automatically flow to dependent steps (release uses build_id)
  • Inspect builds independently: eve build show, eve build diagnose, eve build runs, eve build logs

Agent steps

Use agent steps when a pipeline stage should run an AI agent job:

pipelines:
  remediation:
    steps:
      - name: analyze
        agent:
          prompt: "Analyze the failure and propose a fix"

Canonical pipeline flow

Every deploy pipeline should follow this pattern:

pipelines:
  deploy:
    steps:
      - name: build
        action:
          type: build
          # Creates BuildSpec + BuildRun, outputs build_id + image_digests
      - name: release
        depends_on: [build]
        action:
          type: release
          # References build_id, derives digests from BuildArtifacts
      - name: deploy
        depends_on: [release]
        action:
          type: deploy
          env_name: staging
          # Uses digest-based image refs for immutable deploys

Promotion workflow

Build once in test, then promote the same build artifacts to staging/production:

  • The build step creates a BuildRun with artifacts (image digests)
  • Releases carry the build_id forward, ensuring identical images across environments
  • This pattern guarantees you deploy exactly what you tested

Track pipeline execution:

eve job list --phase active
eve job follow <job-id>
eve job result <job-id>

Pipeline Logs & Streaming

Monitor pipeline runs in real time:

# Snapshot logs for a run
eve pipeline logs <pipeline> <run-id>

# Real-time SSE streaming
eve pipeline logs <pipeline> <run-id> --follow

# Stream specific step
eve pipeline logs <pipeline> <run-id> --follow --step <name>

Failed steps include failure hints and link to build diagnostics when applicable.

Environment Deploy as Pipeline Alias

When an environment has a pipeline configured in the manifest, eve env deploy <env> --ref <sha> automatically triggers that pipeline instead of doing a direct deploy.

Basic usage

# Triggers the configured pipeline for test environment
eve env deploy test --ref 0123456789abcdef0123456789abcdef01234567

# Pass inputs to the pipeline
eve env deploy staging --ref 0123456789abcdef0123456789abcdef01234567 --inputs '{"release_id":"rel_xxx"}'

# Bypass pipeline and do direct deploy
eve env deploy staging --ref 0123456789abcdef0123456789abcdef01234567 --direct

Promotion flow example

# 1. Build and deploy to test environment
eve env deploy test --ref 0123456789abcdef0123456789abcdef01234567

# 2. Get release info from the test build
eve release resolve v1.2.3
# Output: rel_xxx

# 3. Promote to staging using the release_id
eve env deploy staging --ref 0123456789abcdef0123456789abcdef01234567 --inputs '{"release_id":"rel_xxx"}'

Key behaviors

  • If environments.<env>.pipeline is set, eve env deploy <env> triggers that pipeline
  • Use --direct flag to bypass the pipeline and perform a direct deploy
  • Use --inputs '{"key":"value"}' to pass inputs to the pipeline run
  • Default inputs can be configured via environments.<env>.pipeline_inputs in the manifest
  • The --ref flag specifies which git SHA to deploy (40-character SHA or ref resolved via --repo-dir)
  • Environment variables and secrets are interpolated as usual

This pattern enables promotion workflows where you build once in a lower environment and promote the same artifact through higher environments.

Workflows

  • Define workflows under workflows in the manifest.
  • db_access is honored when present (read_only, read_write).
  • Invoke manually:

- eve workflow list - eve workflow show <project> <name> - eve workflow run <project> <name> --input '{"k":"v"}' (fire-and-forget) - eve workflow invoke <project> <name> --input '{"k":"v"}' (wait for result) - eve workflow logs <job-id>

  • Invocation creates a job; track it with normal job commands.

Workflow Hints

Control gating, timeouts, and harness preferences via hints:

workflows:
  remediate:
    hints:
      gates: ["remediate:proj_abc123:staging"]

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

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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

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

36.84%
按下载量换算717

Claude

27.95%
按下载量换算544

Cursor

19.21%
按下载量换算374

Gemini CLI

9.45%
按下载量换算184

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

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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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