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lev-cdo左旋 CDO

Agent Skill

lev-cdo 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

225

周安装

9

GitHub Stars

2

下载量

73
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:lev-cdo(左旋 CDO)
来源仓库:https://github.com/lev-os/agents
仓库路径:skills/lev-cdo
安装命令:
npx skills add https://github.com/lev-os/agents --skill lev-cdo
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/lev-os/agents --skill lev-cdo

简介

lev-cdo 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

  • 适用于企业战略文档查询、CDO 职责范围梳理和管理决策支持等场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和联网需求。
  • 建议结合原始 README 核验具体用法,注意维护状态及是否触发文件读写操作。
  • lev-cdo 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Lev CDO — Architecture-Aware Deliberation

Thin wrapper over the cdo skill. Adds lev-specific context to every agent brief.

How It Works

  1. Generate architecture context on the fly (bash commands, not static files)
  2. Inject into every CDO agent's system prompt as <lev-context> block
  3. Delegate to cdo skill for turn execution, synthesis, and convergence
  4. All CDO presets (quick/think/deep/full/debug) work — this just adds context

Context Injection

Before dispatching any CDO agent, generate and prepend this context:

# Run these to get current architecture state:
ls ~/lev/core/ | sort                              # 20 core modules
grep "id:" ~/lev/dna/*.dna.yaml                    # DNA constraint IDs
head -30 ~/lev/core/domain/src/execution-protocol.ts  # ExecTransport pattern
head -20 ~/lev/core/orchestration/src/intent/types.ts  # IntentDeclaration

Key decisions (session 3, verified):

  • Poly owns protocols + surfaces (not just surface projection)
  • Domain owns shared types (ProtocolAdapter, ExecTransport, Route, Target)
  • Harness owns runtime execution (TmuxHarness, AdapterRegistry, profile-loader)
  • Orchestration owns dispatch (A2A AgentJob → JobExecutor)
  • Nobody owns the registry — emergent from protocol instances on disk
  • Fractal config: inline → file → folder glob
  • DNA contracts are behavioral gates, not documentation
  • ntm is EXTERNAL — we own TmuxHarness, not ntm
  • CLI agents are a protocol, not a config schema
  • Intent should NOT live in orchestration (placement TBD — likely domain)

When to Use lev-cdo vs cdo

Use lev-cdo when...Use cdo when...
Deciding where code lives in ~/levGeneral architecture decisions
Protocol design (poly-protocol, runners)Non-lev deliberations
Module placement (core vs plugin)Cross-project questions
DNA contract changesGeneral trade-off analysis
ExecOptions / adapter design
Intent protocol placement
FlowMind stabilization review

Skill Discovery for Agents

When composing agent briefs, discover relevant skills:

  • arch — system design, C4, trade-offs
  • mcp-server-design — agent-friendly API patterns
  • agent-fungibility-philosophy — fungible agent architecture
  • lev-builder — module placement decisions
  • lev-align — validation gate checking
  • operationalizing-expertise — distilling methods into artifacts
  • testing-conformance-harnesses — protocol conformance

CDO Templates

Protocol Design

Turn 0: Research (read code, web search, cass history) Turn 1: Framing (8 agents — architect, taxonomist, prior art, transport, adversarial, adoption, network, naming) Turn 2: Deepening (6 agents — schema, discovery, MCP bridge, spikes, analogy, unifier) Turn 3: Stress Test (4 agents — devil's advocate, complexity, streaming gap, versioning) Turn 4: Synthesis (3 agents — synthesizer, visual explainer, readme)

Module Placement

Turn 0: Read the module code + DNA contracts Turn 1: Where does it live? (3 agents — domain advocate, poly advocate, harness advocate) Turn 2: Integration (2 agents — dependency analyzer, DNA compliance checker)

Architecture Review

Turn 0: Read specs + design docs + code Turn 1: Multi-perspective analysis (5 agents — each a Six Hats color) Turn 2: Synthesis + pre-mortem (2 agents)

FlowMind Stabilization

Turn 0: Read executor.ts, schema.ts, execution-contract/, gate-evaluator.ts, plugins/dna/ Turn 1: 10-question arch review (10 parallel agents, one per question) Turn 2: Synthesis + reconciliation Turn 3: Spec draft

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

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

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

35.75%
按下载量换算26

Claude

28.88%
按下载量换算21

Cursor

18.91%
按下载量换算14

Gemini CLI

9.08%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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

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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