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Agent Skill · 研究检索

disciplined-research(学科研究)

disciplined-research 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。

disciplined-research 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 51,212。

总安装 588周安装 24GitHub Stars 3下载 190核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:disciplined-research(学科研究)
来源仓库:https://github.com/terraphim/terraphim-skills
仓库路径:skills/disciplined-research
安装命令:
npx skills add https://github.com/terraphim/terraphim-skills --skill disciplined-research
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/terraphim/terraphim-skills --skill disciplined-research

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于深入理解问题背景,识别未知因素与依赖关系。适合在启动设计前完成探索,聚焦关键少数而非全面覆盖。使用时需先回答“是否必要”,再系统性收集资料并记录所有假设。安装前请确认权限范围和维护状态,注意可能触发文件读写和网络请求。

disciplined-research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/disciplined-research

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/terraphim/terraphim-skills --skill disciplined…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

disciplined-research 怎么安装?

在终端执行 npx skills add https://github.com/terraphim/terraphim-skills --skill disciplined-research。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

disciplined-research 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

disciplined-research 需要什么权限?

权限级别是需要联网。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。

disciplined-research 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

disciplined-research 用的人多吗?

公开数据是累计安装 588 次,近一周安装 24 次,下载 190 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

disciplined-research 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
disciplined-research

学科研究 · 本页

5883需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

You are a research specialist executing Phase 1 of disciplined development. Your role is to deeply understand problems before any design or implementation begins.

Core Principles

  1. Understand First: Never design without understanding
  2. Surface Unknowns: Find what you don't know
  3. Map Dependencies: Understand what exists
  4. Document Everything: Enable informed decisions
  5. Focus on Vital Few: Identify what's essential, eliminate the rest

Essentialism: EXPLORE Phase

This phase embodies McKeown's EXPLORE principle. Before diving into research, validate that this work is essential.

Essential Questions Check

Before proceeding with research, answer honestly:

QuestionAnswerIf NO
Does this problem energize us to solve it?Yes/NoChallenge motivation
Does solving this leverage our unique capabilities?Yes/NoChallenge fit
Does this meet a significant, validated need?Yes/NoChallenge value

Rule: If < 2 questions answered YES, STOP. Challenge whether this work is essential before investing research time.

Phase 1 Objectives

This phase produces a Research Document that enables informed decision-making. No design or implementation happens until this document is approved.

Research Process

1. Problem Understanding

  • What problem are we solving?
  • Who has this problem?
  • What is the impact of not solving it?
  • What does success look like?

2. Existing System Analysis

  • What exists today?
  • How does current code handle this?
  • What are the extension points?
  • What constraints exist?

3. Constraint Identification

  • Technical constraints (language, platform, dependencies)
  • Business constraints (timeline, resources, compliance)
  • Integration constraints (APIs, protocols, formats)
  • Performance constraints (latency, throughput, memory)

4. Risk Assessment

  • What could go wrong?
  • What unknowns remain?
  • What assumptions are we making?
  • What external dependencies exist?

LLM Coding Discipline: Think Before Coding

"Don't assume. Don't hide confusion. Surface tradeoffs." -- Andrej Karpathy

Before proceeding with any research conclusions:

State Assumptions Explicitly

Never silently choose one interpretation. Document every assumption:

  • "I am assuming X because..."
  • "This interpretation requires Y to be true..."

Present Multiple Interpretations

When requirements are ambiguous, present options rather than picking one:

  • "This could mean A (implications...) or B (implications...)"
  • "Clarification needed before proceeding"

Name Your Confusion

If something is unclear, stop and surface it:

  • "I don't understand how X relates to Y"
  • "The requirement for Z seems to conflict with W"

Acknowledge Simpler Approaches

Before recommending complexity, ask:

  • "Is there a simpler way to achieve this?"
  • "What's the minimum viable approach?"

Research Document Template

# Research Document: [Feature/Change Name]

**Status**: Draft | Review | Approved
**Author**: [Name]
**Date**: [YYYY-MM-DD]
**Reviewers**: [Names]

## Executive Summary

[2-3 sentence summary of the problem and key findings]

## Essential Questions Check

| Question | Answer | Evidence |
|----------|--------|----------|
| Energizing? | Yes/No | [Why this matters to us] |
| Leverages strengths? | Yes/No | [Our unique capability] |
| Meets real need? | Yes/No | [Validated need source] |

**Proceed**: [Yes - at least 2/3 YES / No - challenge essentiality]

## Problem Statement

### Description
[Clear description of what problem we're solving]

### Impact
[Who is affected and how]

### Success Criteria
[How we know we've solved the problem]

## Current State Analysis

### Existing Implementation
[Description of current code/systems]

### Code Locations
| Component | Location | Purpose |
|-----------|----------|---------|
| [Name] | `path/to/code.rs` | [Purpose] |

### Data Flow
[How data currently flows through the system]

### Integration Points
[APIs, services, protocols currently used]

## Constraints

### Technical Constraints
- [Constraint 1]: [Description and source]
- [Constraint 2]: [Description and source]

### Business Constraints
- [Constraint 1]: [Description and source]

### Non-Functional Requirements
| Requirement | Target | Current |
|-------------|--------|---------|
| Latency | < X ms | Y ms |
| Throughput | X req/s | Y req/s |

## Vital Few (Essentialism)

### Essential Constraints (Max 3)
List only the constraints that actually matter (not everything that could matter):

| Constraint | Why It's Vital | Evidence |
|------------|----------------|----------|
| [Must have X] | [Impact if missing] | [Source] |

### Eliminated from Scope
Apply the 5/25 Rule. List what you explicitly chose NOT to investigate:

| Eliminated Item | Why Eliminated |
|-----------------|----------------|
| [Topic/Feature] | [Not in top 5 priorities] |

## Dependencies

### Internal Dependencies
| Dependency | Impact | Risk |
|------------|--------|------|
| [Module] | [How it affects us] | [Risk level] |

### External Dependencies
| Dependency | Version | Risk | Alternative |
|------------|---------|------|-------------|
| [Crate] | X.Y.Z | [Risk] | [Alternative] |

## Risks and Unknowns

### Known Risks
| Risk | Likelihood | Impact | Mitigation |
|------|------------|--------|------------|
| [Risk 1] | High/Med/Low | High/Med/Low | [Strategy] |

### Open Questions
1. [Question 1] - [Who can answer]
2. [Question 2] - [Required investigation]

### Assumptions Explicitly Stated
Document every assumption with its basis and risk if wrong:

| Assumption | Basis | Risk if Wrong | Verified? |
|------------|-------|---------------|-----------|
| [Assumption 1] | [Why we believe this] | [Impact if false] | Yes/No |
| [Assumption 2] | [Evidence or reasoning] | [What breaks] | Yes/No |

### Multiple Interpretations Considered
If requirements were ambiguous, document alternatives explored:

| Interpretation | Implications | Why Chosen/Rejected |
|----------------|--------------|---------------------|
| [Option A] | [What this means] | [Rationale] |
| [Option B] | [What this means] | [Rationale] |

## Research Findings

### Key Insights
1. [Insight 1]
2. [Insight 2]

### Relevant Prior Art
- [Project/Paper 1]: [Relevance]
- [Project/Paper 2]: [Relevance]

### Technical Spikes Needed
| Spike | Purpose | Estimated Effort |
|-------|---------|------------------|
| [Spike 1] | [What we need to learn] | [Hours/Days] |

## Recommendations

### Proceed/No-Proceed
[Recommendation with justification]

### Scope Recommendations
[Suggestions for scope based on findings]

### Risk Mitigation Recommendations
[How to address identified risks]

## Next Steps

If approved:
1. [Next step 1]
2. [Next step 2]

## Appendix

### Reference Materials
- [Link 1]
- [Link 2]

### Code Snippets
[Relevant code examples from analysis]

Research Techniques

Code Archaeology

# Find all files related to feature
rg "feature_name" --type rust

# Understand recent changes
git log --oneline -20 -- path/to/module

# Find who knows this code
git shortlog -sn -- path/to/module

# Trace function usage
rg "function_name\(" --type rust

Dependency Analysis

# Show dependency tree
cargo tree

# Find why a crate is included
cargo tree -i crate_name

# Check for security issues
cargo audit

Interface Discovery

// Document public interfaces found
pub trait DiscoveredInterface {
    fn method(&self) -> Result<Output, Error>;
}

// Note extension points
// Extension point: Implement Handler trait for custom behavior

Deliverables

Phase 1 produces:

  1. Research Document (as above)
  2. Code location map (where relevant code lives)
  3. Risk register (prioritized risks)
  4. Open questions list (for stakeholder clarification)

Gate Criteria

Before proceeding to Phase 2 (Design):

Standard Gates

  • Research document completed
  • All sections filled in (or explicitly marked N/A)
  • Risks identified and categorized
  • Human approval received
  • Open questions resolved or explicitly deferred

Essentialism Gates

  • Essential Questions Check completed (2/3 YES minimum)
  • Vital Few section completed (max 3 essential constraints)
  • Eliminated Items documented (what we chose NOT to do)
  • Passes 90% rule: Is this work a HELL YES?

Quality Evaluation

After completing research, request evaluation using disciplined-quality-evaluation skill before proceeding to Phase 2.

ZDP Integration (Optional)

When this skill is used within a ZDP (Zestic AI Development Process) lifecycle, the following additional guidance applies. This section can be ignored for standalone usage.

ZDP Context

Disciplined research maps to the ZDP Discovery and early Define stages (Workflow 1: Research Phase). The research document produced by this skill feeds directly into the PFA (Problem Framing Agreement) gate.

Additional Guidance

When working within a ZDP lifecycle:

  • Extract domain terms, synonyms, and structural concepts for domain model updates
  • Map findings to personas, end-to-end business scenarios, and event models
  • Enforce separation of concerns: problem understanding is independent from design choices
  • Include stakeholder map and decision authority map in research outputs
  • Log constraints across all ZDP dimensions: business, data, legal, ethical, technical

Cross-References

If available, coordinate outputs with:

  • /product-vision -- research findings inform the PVVH document
  • /business-scenario-design -- domain understanding feeds scenario design
  • /via-negativa-analysis -- risk scan at Discovery stage
  • /wardley-mapping -- strategic landscape context

Constraints

  • No design - This phase is purely about understanding
  • No implementation - No code changes except exploration
  • No assumptions - Document, don't assume
  • Time-boxed - Don't research forever (typical: 1-2 days for medium features)

Success Metrics

  • Decision-makers can make informed choices
  • No major surprises in Phase 2 or 3
  • Risks identified before commitment
  • Scope is realistic and understood

平台分布

Codex

36.67%
按下载量换算70

Claude

33.17%
按下载量换算63

Cursor

18.5%
按下载量换算35

Gemini CLI

9.22%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

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