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pipelinelintpipelinelint 测试

Agent Skill

pipelinelint 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。

总安装

2,448

周安装

55

GitHub Stars

公开资料未说明

下载量

792
OpenClaw

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:pipelinelint(pipelinelint 测试)
来源仓库:https://github.com/suhteevah/pipelinelint
安装命令:
openclaw skills install pipelinelint
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 pipelinelint

简介

pipelinelint 分析 CI/CD 管道中的反模式与安全漏洞。

  • 检测硬编码密钥、缓存缺失、测试跳过等常见风险点。
  • 帮助 DevOps 团队提前发现部署隐患,保障流水线安全。
  • 需接入构建日志或配置文件才能有效扫描问题项。
  • 建议集成到预提交钩子中实现自动化质量门禁。pipelinelint 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
PipelineLint
version
1.0.0
description
CI/CD pipeline anti-pattern analyzer -- detects hardcoded secrets, missing cache configs, skipped tests, unsafe deployments, no approval gates, and environment configuration issues
homepage
https://pipelinelint.pages.dev
metadata
user-invocable
true
disable-model-invocation
false

PipelineLint -- CI/CD Pipeline Anti-Pattern Analyzer

PipelineLint scans codebases for CI/CD pipeline anti-patterns, hardcoded secrets, missing cache configurations, skipped tests, unsafe deployments, no approval gates, unpinned dependencies, and environment configuration issues. It uses regex-based pattern matching against 90 pipeline-specific patterns across 6 categories, lefthook for git hook integration, and produces markdown reports with actionable remediation guidance. 100% local. Zero telemetry.

Commands

Free Tier (No license required)

pipelinelint scan [file|directory]

One-shot pipeline quality scan of files or directories.

How to execute:

bash "<SKILL_DIR>/scripts/dispatcher.sh" --path [target]

What it does:

  1. Accepts a file path or directory (defaults to current directory)
  2. Discovers all source files (skips .git, node_modules, binaries, images, .min.js)
  3. Runs 30 pipeline quality patterns against each file (free tier limit)
  4. Calculates a pipeline quality score (0-100) per file and overall
  5. Grades: A (90-100), B (80-89), C (70-79), D (60-69), F (<60)
  6. Outputs findings with: file, line number, check ID, severity, description, recommendation
  7. Exit code 0 if score >= 70, exit code 1 if pipeline quality is poor
  8. Free tier limited to first 30 patterns (SE + CF categories)

Example usage scenarios:

  • "Scan my pipeline for security issues" -> runs pipelinelint scan .
  • "Check this workflow file for anti-patterns" -> runs pipelinelint scan .github/workflows/ci.yml
  • "Find hardcoded secrets in my CI config" -> runs pipelinelint scan .
  • "Audit my CI/CD pipeline configuration" -> runs pipelinelint scan .
  • "Check for missing cache configs" -> runs pipelinelint scan .

Pro Tier ($19/user/month -- requires PIPELINELINT_LICENSE_KEY)

pipelinelint scan --tier pro [file|directory]

Extended scan with 60 patterns covering secrets, caching, testing, and dependency safety.

How to execute:

bash "<SKILL_DIR>/scripts/dispatcher.sh" --path [target] --tier pro

What it does:

  1. Validates Pro+ license
  2. Runs 60 pipeline patterns (SE, CF, TS, AR categories)
  3. Detects skipped tests and disabled quality checks
  4. Identifies unsafe dependency management practices
  5. Full category breakdown reporting

pipelinelint scan --format json [directory]

Generate JSON output for CI/CD integration.

bash "<SKILL_DIR>/scripts/dispatcher.sh" --path [directory] --format json

pipelinelint scan --format html [directory]

Generate HTML report for browser viewing.

bash "<SKILL_DIR>/scripts/dispatcher.sh" --path [directory] --format html

pipelinelint scan --category SE [directory]

Filter scan to a specific check category (SE, CF, TS, AR, DP, EN).

bash "<SKILL_DIR>/scripts/dispatcher.sh" --path [directory] --category SE

Team Tier ($39/user/month -- requires PIPELINELINT_LICENSE_KEY with team tier)

pipelinelint scan --tier team [directory]

Full scan with all 90 patterns across all 6 categories including deployment safety and environment configuration.

How to execute:

bash "<SKILL_DIR>/scripts/dispatcher.sh" --path [directory] --tier team

What it does:

  1. Validates Team+ license
  2. Runs all 90 patterns across 6 categories
  3. Includes deployment safety checks (no approval gates, force push, destructive operations)
  4. Includes environment configuration checks (hardcoded values, no timeouts, plain HTTP)
  5. Full category breakdown with per-file results

pipelinelint scan --verbose [directory]

Verbose output showing every matched line and pattern details.

bash "<SKILL_DIR>/scripts/dispatcher.sh" --path [directory] --verbose

pipelinelint status

Show license and configuration information.

bash "<SKILL_DIR>/scripts/dispatcher.sh" status

Check Categories

PipelineLint detects 90 CI/CD pipeline anti-patterns across 6 categories:

CategoryCodePatternsDescriptionSeverity Range
Secrets & SecuritySE15Hardcoded passwords, API keys in YAML, tokens in logs, credentials in curl commands, SSH keys inlinehigh -- critical
Caching & PerformanceCF15No cache for npm/pip/maven, redundant installs, missing dependency caching, slow Docker buildslow -- medium
Testing & QualityTS15Skipped tests, disabled linting, no coverage enforcement, --no-verify flags, continue-on-error abusemedium -- high
Artifacts & DependenciesAR15Unpinned Docker tags, curl-to-shell, unverified downloads, disabled SSL, GitHub Actions on branch refsmedium -- high
Deployment SafetyDP15No approval gates, force push, auto-approve terraform, destructive SQL, no rollback strategyhigh -- critical
Environment & ConfigurationEN15Hardcoded localhost, no timeouts, no retries, plain HTTP URLs, hardcoded database connection stringslow -- high

Tier-Based Pattern Access

TierPatternsCategories
Free30SE, CF
Pro60SE, CF, TS, AR
Team90SE, CF, TS, AR, DP, EN
Enterprise90SE, CF, TS, AR, DP, EN + priority support

Scoring

PipelineLint uses a deductive scoring system starting at 100 (perfect):

SeverityPoint DeductionDescription
Critical-25 per findingSecurity vulnerability or deployment safety risk
High-15 per findingSignificant pipeline problem (skipped tests, insecure deps)
Medium-8 per findingModerate concern (missing caching, env misconfiguration)
Low-3 per findingInformational / best practice suggestion

Grading Scale

GradeScore RangeMeaning
A90-100Excellent pipeline configuration
B80-89Good configuration with minor issues
C70-79Acceptable but needs improvement
D60-69Poor pipeline quality
FBelow 60Critical pipeline problems
  • Pass threshold: 70 (Grade C or better)
  • Exit code 0 = pass (score >= 70)
  • Exit code 1 = fail (score < 70)

Configuration

Users can configure PipelineLint in ~/.openclaw/openclaw.json:

{
  "skills": {
    "entries": {
      "pipelinelint": {
        "enabled": true,
        "apiKey": "YOUR_LICENSE_KEY_HERE",
        "config": {
          "severityThreshold": "medium",
          "ignorePatterns": ["**/test/**", "**/fixtures/**", "**/*.test.*"],
          "ignoreChecks": [],
          "reportFormat": "text"
        }
      }
    }
  }
}

Important Notes

  • Free tier works immediately with no configuration
  • All scanning happens locally -- no code is sent to external servers
  • License validation is offline -- no phone-home or network calls
  • Pattern matching only -- no AST parsing, no external dependencies beyond bash
  • Supports scanning all file types in a single pass
  • Git hooks use lefthook which must be installed (see install metadata above)
  • Exit codes: 0 = pass (score >= 70), 1 = fail (for CI/CD integration)
  • Output formats: text (default), json, html

Error Handling

  • If lefthook is not installed and user tries hooks, prompt to install it
  • If license key is invalid or expired, show clear message with link to https://pipelinelint.pages.dev/renew
  • If a file is binary, skip it automatically with no warning
  • If no scannable files found in target, report clean scan with info message
  • If an invalid category is specified with --category, show available categories

When to Use PipelineLint

The user might say things like:

  • "Scan my CI/CD pipeline for issues"
  • "Check my GitHub Actions workflow"
  • "Find hardcoded secrets in my pipeline config"
  • "Detect unsafe deployment practices"
  • "Are there any missing cache configurations?"
  • "Check for skipped tests in my CI"
  • "Audit my pipeline security"
  • "Find unpinned dependencies in my workflow"
  • "Check for deployment safety issues"
  • "Scan for pipeline anti-patterns"
  • "Run a pipeline quality audit"
  • "Generate a pipeline quality report"
  • "Check if my Jenkinsfile has security issues"
  • "Find force push commands in my CI config"
  • "Check my GitLab CI for best practices"

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

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

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

OpenClaw

87.95%
按下载量换算697

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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