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sciencescience 搜索

Agent Skill

science 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

1,513

周安装

65

GitHub Stars

11,909

下载量

530
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:science(science 搜索)
来源仓库:https://github.com/danielmiessler/personal_ai_infrastructure
仓库路径:skills/science
安装命令:
npx skills add https://github.com/danielmiessler/personal_ai_infrastructure --skill Science
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/danielmiessler/personal_ai_infrastructure --skill Science

简介

science 用于查找、检索和筛选相关信息, 适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 支持关键词搜索、任务场景匹配和来源线索筛选, 可结合用户自定义配置优化行为。science 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装前建议确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。

SKILL.md

Customization

Before executing, check for user customizations at: ~/.claude/PAI/USER/SKILLCUSTOMIZATIONS/Science/

If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.

🚨 MANDATORY: Voice Notification (REQUIRED BEFORE ANY ACTION)

You MUST send this notification BEFORE doing anything else when this skill is invoked.

  1. Send voice notification: curl -s -X POST http://localhost:8888/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running the WORKFLOWNAME workflow in the Science skill to ACTION"}' \ > /dev/null 2>&1 &
  2. Output text notification: Running the **WorkflowName** workflow in the **Science** skill to ACTION...

This is not optional. Execute this curl command immediately upon skill invocation.

Science - The Universal Algorithm

The scientific method applied to everything. The meta-skill that governs all other skills.

The Universal Cycle

GOAL -----> What does success look like?
   |
OBSERVE --> What is the current state?
   |
HYPOTHESIZE -> What might work? (Generate MULTIPLE)
   |
EXPERIMENT -> Design and run the test
   |
MEASURE --> What happened? (Data collection)
   |
ANALYZE --> How does it compare to the goal?
   |
ITERATE --> Adjust hypothesis and repeat
   |
   +------> Back to HYPOTHESIZE

The goal is CRITICAL. Without clear success criteria, you cannot judge results.


Workflow Routing

Output when executing: Running the **WorkflowName** workflow in the **Science** skill to ACTION...

Core Workflows

TriggerWorkflow
"define the goal", "what are we trying to achieve"Workflows/DefineGoal.md
"what might work", "ideas", "hypotheses"Workflows/GenerateHypotheses.md
"how do we test", "experiment design"Workflows/DesignExperiment.md
"what happened", "measure", "results"Workflows/MeasureResults.md
"analyze", "compare to goal"Workflows/AnalyzeResults.md
"iterate", "try again", "next cycle"Workflows/Iterate.md
Full structured cycleWorkflows/FullCycle.md

Diagnostic Workflows

TriggerWorkflow
Quick debugging (15-min rule)Workflows/QuickDiagnosis.md
Complex investigationWorkflows/StructuredInvestigation.md

Resource Index

ResourceDescription
METHODOLOGY.mdDeep dive into each phase
Protocol.mdHow skills implement Science
Templates.mdGoal, Hypothesis, Experiment, Results templates
Examples.mdWorked examples across scales

Domain Applications

DomainManifestationRelated Skill
CodingTDD (Red-Green-Refactor)Development
ProductsMVP -> Measure -> IterateDevelopment
ResearchQuestion -> Study -> AnalyzeResearch
PromptsPrompt -> Eval -> IterateEvals
DecisionsOptions -> Council -> ChooseCouncil

Scale of Application

LevelCycle TimeExample
MicroMinutesTDD: test, code, refactor
MesoHours-DaysFeature: spec, implement, validate
MacroWeeks-MonthsProduct: MVP, launch, measure PMF

Integration Points

PhaseSkills to Invoke
GoalCouncil for validation
ObserveResearch for context
HypothesizeCouncil for ideas, RedTeam for stress-test
ExperimentDevelopment (Worktrees) for parallel tests
MeasureEvals for structured measurement
AnalyzeCouncil for multi-perspective analysis

Key Principles (Quick Reference)

  1. Goal-First - Define success before starting
  2. Hypothesis Plurality - NEVER just one idea (minimum 3)
  3. Minimum Viable Experiments - Smallest test that teaches
  4. Falsifiability - Experiments must be able to fail
  5. Measure What Matters - Only goal-relevant data
  6. Honest Analysis - Compare to goal, not expectations
  7. Rapid Iteration - Cycle speed > perfect experiments

Anti-Patterns

BadGood
"Make it better""Reduce load time from 3s to 1s"
"I think X will work""Here are 3 approaches: X, Y, Z"
"Prove I'm right""Design test that could disprove"
"Pretend failure didn't happen""What did we learn?"
"Keep experimenting forever""Ship and learn from production"

Quick Start

  1. Goal - What does success look like?
  2. Observe - What do we know?
  3. Hypothesize - At least 3 ideas
  4. Experiment - Minimum viable tests
  5. Measure - Collect goal-relevant data
  6. Analyze - Compare to success criteria
  7. Iterate - Adjust and repeat

The answer emerges from the cycle, not from guessing.

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

36.09%
按下载量换算191

Claude

30.77%
按下载量换算163

Cursor

19.33%
按下载量换算102

Gemini CLI

9.08%
按下载量换算48

安全审计

Gen Agent Trust Hub

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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