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Plans Methodology

作者 cramtek · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
538
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在 OpenClaw 中安装
/install plans-methodology
功能描述
Structured work tracking methodology using Plans. Use when creating, managing, reviewing, or delegating plans for significant work. Covers plan lifecycle (dr...
安全使用建议
This skill is a coherent, instruction-only methodology that will read and write files under a 'plans/' directory in the agent's workspace and may reference other agents' plan paths for delegation. Before installing or enabling autonomous use: (1) confirm you are comfortable with the agent creating/modifying files in its workspace, (2) avoid storing secrets or credentials in plan docs, (3) define and enforce access/approval policies if multiple agents share workspaces, and (4) consider reviewing generated plan files the first few times the skill runs. No network downloads or extra credentials are requested by this skill.
功能分析
Type: OpenClaw Skill Name: plans-methodology Version: 1.0.0 The skill bundle defines a structured work tracking methodology for AI agents, including directory structures, plan templates, and a lifecycle. The `SKILL.md` file provides descriptive instructions for the agent to manage and track its work, including checking active and draft plans on session start. There is no evidence of malicious intent, data exfiltration, unauthorized execution, prompt injection attempts to subvert the agent's core function, or any other high-risk behaviors. All content aligns with the stated purpose of improving work organization for agents.
能力评估
Purpose & Capability
The skill name and description match the SKILL.md content: it specifies a filesystem-based plans layout, lifecycle, delegation patterns, and runbook-like guidance. There are no unrelated environment variables, binaries, or installs requested.
Instruction Scope
The instructions direct the agent to read and write a local 'plans/' workspace (create README.md, move plan folders between state directories, check plans on session start) and to reference other agents' plan paths for delegation. This is within the expected scope for a planning methodology, but it does mean the agent will access and modify files in the workspace and may reference other agents' workspace paths.
Install Mechanism
There is no install spec and no code files; the skill is instruction-only so nothing is downloaded or written by an installer.
Credentials
No environment variables, credentials, or config paths are required. The declared requirements are minimal and proportional to a document-based planning methodology.
Persistence & Privilege
always:false and the skill does not request elevated or platform-wide privileges. It expects to create and modify files under the agent's workspace (plans/), which is normal for this purpose but is persistent workspace modification behavior the user should be aware of.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install plans-methodology
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /plans-methodology 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release. Structured work tracking methodology with plan lifecycle (draft, approved, in_progress, completed, archived), folder conventions, proposal/design/tasks templates, hierarchical delegation, and approval authority for multi-agent teams.
元数据
Slug plans-methodology
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Plans Methodology 是什么?

Structured work tracking methodology using Plans. Use when creating, managing, reviewing, or delegating plans for significant work. Covers plan lifecycle (dr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 538 次。

如何安装 Plans Methodology?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install plans-methodology」即可一键安装,无需额外配置。

Plans Methodology 是免费的吗?

是的,Plans Methodology 完全免费(开源免费),可自由下载、安装和使用。

Plans Methodology 支持哪些平台?

Plans Methodology 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Plans Methodology?

由 cramtek(@cramtek)开发并维护,当前版本 v1.0.0。

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