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nm-leyline-authentication-patternsnm 地脉认证模式

Agent Skill

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。

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下载量

1,063
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:nm-leyline-authentication-patterns(nm 地脉认证模式)
来源仓库:https://github.com/athola/nm-leyline-authentication-patterns
安装命令:
openclaw skills install nm-leyline-authentication-patterns
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 nm-leyline-authentication-patterns

简介

外部服务的身份验证模式:API 密钥、OAuth、令牌管理、验证。身份验证、API 密钥、OAuth、令牌管理、凭证。

SKILL.md

name
authentication-patterns
description
|
version
1.8.2
triggers
metadata
{"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/leyline", "emoji": "\�\�", "requires": {"config": ["night-market.error-patterns"]}}}
source
claude-night-market
source_plugin
leyline
Night Market Skill — ported from claude-night-market/leyline. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Table of Contents

Authentication Patterns

Overview

Common authentication patterns for integrating with external services. Provides consistent approaches to credential management, verification, and error handling.

When To Use

  • Integrating with external APIs
  • Need credential verification
  • Managing multiple auth methods
  • Handling auth failures gracefully

When NOT To Use

  • Project doesn't use the leyline infrastructure patterns
  • Simple scripts without service architecture needs

Authentication Methods

MethodBest ForEnvironment Variable
API KeySimple integrations{SERVICE}_API_KEY
OAuthUser-authenticatedBrowser-based flow
TokenSession-based{SERVICE}_TOKEN
NonePublic APIsN/A

Quick Start

Verify Authentication

from leyline.auth import verify_auth, AuthMethod

# API Key verification
status = verify_auth(
    service="gemini",
    method=AuthMethod.API_KEY,
    env_var="GEMINI_API_KEY"
)

if not status.authenticated:
    print(f"Auth failed: {status.message}")
    print(f"Action: {status.suggested_action}")

Verification: Run the command with --help flag to verify availability.

Smoke Test

def verify_with_smoke_test(service: str) -> bool:
    """Verify auth with simple request."""
    result = execute_simple_request(service, "ping")
    return result.success

Verification: Run pytest -v to verify tests pass.

Standard Flow

Step 1: Check Environment

def check_credentials(service: str, env_var: str) -> bool:
    value = os.getenv(env_var)
    if not value:
        print(f"Missing {env_var}")
        return False
    return True

Verification: Run the command with --help flag to verify availability.

Step 2: Verify with Service

def verify_with_service(service: str) -> AuthStatus:
    result = subprocess.run(
        [service, "auth", "status"],
        capture_output=True
    )
    return AuthStatus(
        authenticated=(result.returncode == 0),
        message=result.stdout.decode()
    )

Verification: Run the command with --help flag to verify availability.

Step 3: Handle Failures

def handle_auth_failure(service: str, method: AuthMethod) -> str:
    actions = {
        AuthMethod.API_KEY: f"Set {service.upper()}_API_KEY environment variable",
        AuthMethod.OAUTH: f"Run '{service} auth login' for browser auth",
        AuthMethod.TOKEN: f"Refresh token with '{service} token refresh'"
    }
    return actions[method]

Verification: Run the command with --help flag to verify availability.

Integration Pattern

# In your skill's frontmatter
dependencies: [leyline:authentication-patterns]

Verification: Run the command with --help flag to verify availability.

Interactive Authentication (Shell)

For workflows requiring interactive authentication with token caching and session management:

# Source the interactive auth script
source plugins/leyline/scripts/interactive_auth.sh

# Ensure authentication before proceeding
ensure_auth github || exit 1
ensure_auth gitlab || exit 1
ensure_auth aws || exit 1

# Continue with authenticated operations
gh pr view 123
glab issue list
aws s3 ls

Features:

  • ✅ Interactive OAuth flows for GitHub, GitLab, AWS, and more
  • ✅ Token caching (5-minute TTL)
  • ✅ Session persistence (24-hour TTL)
  • ✅ CI/CD compatible (auto-detects non-interactive environments)
  • ✅ Multi-service support

See modules/interactive-auth.md for complete documentation.

Detailed Resources

  • Auth Methods: See modules/auth-methods.md for method details
  • Verification: See modules/verification-patterns.md for testing patterns
  • Interactive: See modules/interactive-auth.md for shell-based auth flows

Exit Criteria

  • Credentials verified or clear failure message
  • Suggested action for auth failures
  • Smoke test confirms working auth

Troubleshooting

Common Issues

Command not found Ensure all dependencies are installed and in PATH

Permission errors Check file permissions and run with appropriate privileges

Unexpected behavior Enable verbose logging with --verbose flag

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

93.55%
按下载量换算994

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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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