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nm-leyline-risk-classificationnm 地脉风险分类

Agent Skill

nm-leyline-risk-classification 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

2,546

周安装

104

GitHub Stars

公开资料未说明

下载量

815
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-risk-classification(nm 地脉风险分类)
来源仓库:https://github.com/athola/nm-leyline-risk-classification
安装命令:
openclaw skills install nm-leyline-risk-classification
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-risk-classification

简介

四层模型对代理任务进行内联风险分类。

  • 适合高风险操作的路由和升级处理。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 混合启发式文件匹配和人工干预机制。
  • 绿色/黄色任务自动处理,红色/关键需人工介入。
  • nm-leyline-risk-classification 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
risk-classification
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

Risk Classification

Overview

Provides inline risk classification for agent tasks using a 4-tier model (GREEN/YELLOW/RED/CRITICAL). Uses fast heuristic file-pattern matching for low-risk tiers and delegates to Skill(attune:war-room-checkpoint) for high-risk tiers requiring full reversibility scoring.

When To Use

  • Assessing risk of tasks before agent assignment
  • Determining verification requirements for task completion
  • Deciding parallel execution safety between tasks
  • Adding risk markers to task checklists

When NOT To Use

  • Single-file trivial changes (assume GREEN)
  • Strategic architecture decisions (use full Skill(attune:war-room) instead)
  • Non-code tasks (documentation-only, configuration comments)

4-Tier Risk Model

TierColorScopeExampleVerification
GREENSafeSingle file, trivial revertTest files, docs, utilsNone required
YELLOWCautionModule-level, user-visibleComponents, routes, viewsConflict check + test pass
REDDangerCross-module, security/dataMigrations, auth, database schemaWar-room RS + full test + review
CRITICALStopIrreversible, regulatedData deletion, production deployWar-room RS + human approval

Hybrid Routing

Task received
    |
    v
Heuristic classifier (file patterns)
    |
    ├── GREEN/YELLOW → Apply tier, continue
    |
    └── RED/CRITICAL → Invoke Skill(attune:war-room-checkpoint)
                        for reversibility scoring (RS)
                        |
                        └── RS confirms or adjusts tier

Why hybrid: GREEN/YELLOW classification is fast and deterministic (file pattern matching). RED/CRITICAL tasks warrant the overhead of full reversibility analysis because the cost of getting them wrong is high.

Task Metadata Extension

Add risk tier to task metadata for downstream consumption:

{
  "id": "5",
  "subject": "Add user authentication",
  "metadata": {
    "risk_tier": "YELLOW",
    "risk_reason": "Modifies src/components/LoginForm.tsx (user-visible component)",
    "classified_at": "2026-02-07T22:00:00Z"
  }
}

Tasks without risk_tier metadata default to GREEN (backward compatible).

Readiness Levels

The 4-tier Readiness Levels system provides clear risk classification with required controls per tier:

LevelNameWhenRequired Controls
0RoutineLow blast radius, easy rollbackBasic validation, rollback step
1WatchUser-visible changesReview, negative test, rollback note
2ElevatedSecurity/compliance/dataAdversarial review, risk checklist
3CriticalIrreversible, regulatedHuman confirmation, two-step verification

See modules/readiness-levels.md for full level definitions, selection decision tree, and integration guidance.

Module Reference

  • tier-definitions.md: Detailed tier criteria, boundaries, and override mechanism
  • heuristic-classifier.md: File-pattern rules for automated classification
  • verification-gates.md: Per-tier verification requirements and parallel safety matrix
  • readiness-levels.md: 4-tier risk system with required controls per level

Integration Pattern

# In your skill's frontmatter
dependencies: [leyline:risk-classification]

For Task Generators

Append [R:TIER] marker to task format:

- [ ] T012 [P] [US1] [R:YELLOW] Create LoginForm component in src/components/LoginForm.tsx

For Orchestrators

Check risk tier before task assignment:

if task.risk_tier in ["RED", "CRITICAL"]:
    invoke Skill(attune:war-room-checkpoint) for RS scoring
    if CRITICAL: require human approval before proceeding

Exit Criteria

  • Every task has a risk tier assigned (explicit or default GREEN)
  • RED/CRITICAL tasks have war-room-checkpoint RS scores
  • Verification gates passed for the assigned tier
  • No parallel execution of prohibited tier combinations

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

78.74%
按下载量换算642

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。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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