ClawHub

Requirement Clarity

v1.0.0

从模糊自然语言中梳理清晰需求。Main从用户获取需求时使用，下游Agent从Main获取任务指派时使用。

⭐ 0· 239·0 current·0 all-time
by@evianevans

Install

OpenClaw Prompt Flow

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Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for evianevans/requirement-clarity.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Requirement Clarity" (evianevans/requirement-clarity) from ClawHub.
Skill page: https://clawhub.ai/evianevans/requirement-clarity
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install requirement-clarity

ClawHub CLI

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npx clawhub@latest install requirement-clarity
Security Scan
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
The name and description (clarifying fuzzy requirements) match the content of SKILL.md. The skill declares no binaries, env vars, or installs, which is proportional to a dialog/clarification helper.
ℹ
Instruction Scope
SKILL.md limits actions to restating, asking clarification questions, and emitting structured task descriptions — all within the declared purpose. It instructs downstream agents to request clarifications via 'sessions_send', which is a platform-specific mechanism; this is expected for an agent-to-agent protocol but you should confirm your platform's session API behavior and permissions.
✓
Install Mechanism
No install spec and no code files (instruction-only). Nothing is written to disk or downloaded during install.
✓
Credentials
The skill requests no environment variables, credentials, or config paths. There is no disproportionate access required for its stated functionality.
✓
Persistence & Privilege
always is false and model invocation is allowed (the platform default). The skill does not request persistent presence or attempt to modify other skills or system-wide settings.
Assessment
This is a low-risk, instruction-only helper that formalizes how an agent should ask clarifying questions and produce structured task descriptions. Before installing: (1) confirm your agent platform supports the referenced session API (sessions_send) and understand what permissions messages/requests have; (2) be aware the skill can be invoked autonomously by agents (platform default), so it may follow the protocol and prompt users or other agents for more context; (3) if you rely on strict auditing, ensure any clarifying exchanges are logged because the skill is designed to collect extra conversational context.

Like a lobster shell, security has layers — review code before you run it.

latestvk973akx4ereb374xr0jcm7gc9583acmz
239downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0
@evianevans
latest
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需求梳理协议

当你是Main（从用户获取需求时）

  1. 复述你理解的核心问题（一句话）
  2. 存在歧义时提问："你是想问A还是B？"
  3. 确认后输出结构化任务描述：核心问题、需验证的声明列表、需搜索的信息类型、期望输出格式

当你是下游Agent（从Main获取任务指派时）

  1. 先确认自己理解了什么
  2. 不清晰时向Main请求澄清（通过 sessions_send 回复）
  3. 确认理解一致后才开始执行

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