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clarify-intent-and-establish-shared-understanding

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2026-08-25最近推送
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功能简介

系统澄清意图,挑战假设,解决矛盾,对齐目标与标准。

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系统澄清意图,挑战假设,解决矛盾,对齐目标与标准。 实测能干净安装、正常启动。204+ stars,社区认可度高,是低风险选择。

「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。

README

clarify-intent-and-establish-shared-understanding

🚀 Quick Start

Option 1: Ask Your Agent to Install It

Simply tell your agent:

Install the clarify-intent-and-establish-shared-understanding skill from https://github.com/Inference1/clarify-intent-and-establish-shared-understanding for this project.

Option 2: Install with npx skills

The easiest command-line method is the skills CLI.

Interactive installation

npx skills add Inference1/clarify-intent-and-establish-shared-understanding

The installer will let you choose the target Agent and installation scope.

Install for a specific Agent

npx skills add Inference1/clarify-intent-and-establish-shared-understanding -a claude-code

Replace claude-code with the desired Agent identifier, such as codex, cursor, github-copilot, or gemini-cli.

Install globally for that Agent:

npx skills add Inference1/clarify-intent-and-establish-shared-understanding -a claude-code -g

Install for all supported Agents

Project-level:

npx skills add Inference1/clarify-intent-and-establish-shared-understanding --all

Global:

npx skills add Inference1/clarify-intent-and-establish-shared-understanding --all -g

Project-level installation is the default; -g / --global makes the Skill available across projects.

Option 3: Install Manually

Download the repository as a ZIP from GitHub, or clone it:

git clone https://github.com/Inference1/clarify-intent-and-establish-shared-understanding.git

Then copy the repository folder into your Agent's project-level or global skills directory. Keep SKILL.md inside the Skill folder:

<skills-directory>/
└── clarify-intent-and-establish-shared-understanding/
    └── SKILL.md

For example, with Claude Code:

# Project-level
<project>/.claude/skills/clarify-intent-and-establish-shared-understanding/SKILL.md

# Global
~/.claude/skills/clarify-intent-and-establish-shared-understanding/SKILL.md

Common Agent locations include:

Agent Project-level Global
Claude Code .claude/skills/ ~/.claude/skills/
Codex .agents/skills/ ~/.codex/skills/
Cursor .agents/skills/ ~/.cursor/skills/
GitHub Copilot .agents/skills/ ~/.copilot/skills/
Gemini CLI .agents/skills/ ~/.gemini/skills/

For other Agents, use their documented skills directory or let npx skills add select the correct location automatically.

The skills CLI currently documents project scope as the default, -g/--global for user-wide installation, -a/--agent for targeting specific agents, and --all for installing all discovered skills to all supported agents. (GitHub)

✨ Introduction

AI agents often face an "Autonomy–Interaction Dilemma": when users provide ambiguous prompts or instructions, highly autonomous systems may proceed for extended periods without sufficient interaction. As a result, they may produce Deep Research reports that diverge substantially from user expectations or make inappropriate modifications to code. Such outcomes not only compromise task quality but also result in unnecessary expenditures of computational resources and time. Therefore, achieving an appropriate balance between autonomous execution and timely user interaction is critical to improving agent performance.

The value of slow thinking lies in introducing a deliberate /clarify-intent-and-establish-shared-understanding step before an agent initiates task execution. By proactively clarifying user intent and establishing shared understanding, this step helps align the agent's interpretation of the task with the user's intended meaning and intended outcomes. This mechanism therefore provides a practical and minimally intrusive means of mitigating hallucinations and reducing agent-human misalignment.

Core insight: In complex open-world environments, communication can itself function as an efficient form of computation. Rather than attempting to anticipate users' potential needs by continually expanding the search space, agents may benefit more from scaling interaction. Before acting, they can engage in multi-turn dialogue to elicit and progressively clarify user intent. Such an interaction-first strategy may provide a more efficient approach to Goal Forge, Task Execution and Agent Loop.

✅️ What Does This SKILL Do? When Is It Triggered?

The SKILL clarify-intent-and-establish-shared-understanding systematically examines and refines a user's plan, decision, goal, strategy, proposal, or idea before consequential actions are taken. Its purpose is to establish a precise and shared understanding of the user's intent, objectives, constraints, priorities, assumptions, dependencies, risks, trade-offs, and measurable criteria for success. It achieves this through adaptive and progressively deeper questioning, posing exactly one high-leverage, decision-focused question at a time. Throughout this process, it distinguishes among facts, assumptions, hypotheses, and unknowns; identifies contradictions and information gaps; directly verifies available facts; and periodically synthesizes the emerging shared understanding.

The SKILL is triggered when the user explicitly requests rigorous scrutiny, such as grilling, challenging, pressure-testing, cross-examination, red-team review, pre-mortem analysis, or a decision audit. The process continues until the reasoning is coherent, grounded in available evidence, responsive to relevant constraints, informed by an explicit assessment of risks, actionable, and confirmed by the user.

💓 Why this Skill?

This skill is especially valuable when the quality of an outcome depends on accurately defining the problem before taking action. It is intended for decisions, plans, strategies, proposals, and goal-setting processes in which ambiguous objectives, implicit assumptions, conflicting constraints, insufficient evidence, overlooked dependencies, or inadequately assessed risks may result in costly errors.

Rather than accepting the user's initial framing uncritically, the skill systematically evaluates its validity through focused and adaptive questioning. The process develops a shared understanding of the underlying objectives, priorities, constraints, assumptions, trade-offs, risks, and measurable criteria for success. It also distinguishes established facts from hypotheses and unresolved uncertainties, identifies contradictions, and verifies relevant information directly when possible. By preventing premature action and identifying weaknesses at an early stage, the process transforms ambiguous or insufficiently supported reasoning into a coherent, evidence-informed, constraint-sensitive, and actionable framework for goal forge.

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 clarify-intent-and-establish-shared-understanding」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:Inference1/clarify-intent-and-establish-shared-understanding

Headless(CLI)profile:

dsh plugin --profile headless add github:Inference1/clarify-intent-and-establish-shared-understanding

实测报告

验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。

使用场景

把一个新模型、provider 或路由策略接入循环,让 dsh 能为任务选对脑子。

适合谁

同时用多个模型或 provider、想让成本/质量/延迟自动平衡的人。

二次开发建议

provider 适配器和路由启发式是缝——加后端、调回退链,或加按任务的模型选择。

✓ 低风险 静态扫描 · 3 个文件 · 2026-09-24

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