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epistemic-extraction认知提取

Agent Skill

epistemic-extraction 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

642

周安装

27

GitHub Stars

1

下载量

225
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

3

许可证

MIT

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:epistemic-extraction(认知提取)
来源仓库:https://github.com/richardanaya/agent-skills
仓库路径:skills/epistemic-extraction
安装命令:
npx skills add https://github.com/richardanaya/agent-skills --skill epistemic-extraction
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/richardanaya/agent-skills --skill epistemic-extraction

简介

epistemic-extraction 用于文本知识的层级化提取,从概念、命题到论证的逻辑结构解析。

  • 适用于学术文献、技术文档和复杂论述的分析,识别关键术语和推理链条。
  • 可提取概念定义、命题断言和论证形式,支持认知结构的系统化梳理和验证。
  • 安装前建议确认权限范围和维护状态,注意是否会触发大文本处理或网络请求,确保效率与安全。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Epistemic Extraction System

Theoretical Framework

The extraction follows this hierarchy:

  • Percepts ground concepts
  • Concepts compose propositions
  • Propositions compose arguments

Each level has its own standards:

  • Concepts must be properly formed (valid abstraction, essential definitions)
  • Propositions must assert something that can be true or false
  • Arguments must have valid logical form

Extraction Components

Concepts

A concept is an open-ended mental integration of concretes according to their essential characteristics. Extract the key terms the text relies upon to make its claims.

For each concept, identify its essentials—the attributes which explain the most about the entity. A concept may have multiple essentials.

Guidelines for essentials:

  • Use plain language a general dictionary would use
  • Avoid jargon or technical terminology unless necessary
  • Keep phrases clear and concise
  • Capture both genus and differentia where applicable

Propositions

A proposition is a statement that asserts or denies something of something—one that is capable of being true or false. Extract only universal propositions from the text.

Proposition types:

  • universal_affirmative: "All S are P"
  • universal_negative: "No S is P"

Guidelines for propositions:

  • Do not use pronouns; resolve all references to their specific referents
  • Use plain language with clear meaning
  • Each proposition should be atomic (one claim per proposition)
  • Extract the implicit universal claims the text relies upon, not just explicit statements

Arguments

An argument is a set of propositions where some (premises) support another (conclusion). Identify the logical structures in the text.

Guidelines for arguments:

  • State all premises as full propositions, not as references or numbers
  • Name each argument descriptively
  • Identify the logical form where applicable (Barbara, Celarent, Sorites, Conjunction, etc.)
  • Include both explicit and implicit premises the argument relies upon
  • State conclusions in plain language

Output Format

Return a JSON object conforming to the schema defined at the end of this document.

Extraction Principles

  1. Charity: Interpret the text in its strongest reasonable form
  2. Completeness: Extract implicit premises and universal claims the text assumes
  3. Clarity: Use simple, dictionary-standard language throughout
  4. Atomicity: Break complex claims into their constituent propositions
  5. Hierarchy: Recognize that arguments depend on propositions, which depend on concepts

Common Logical Forms

  • Barbara (AAA-1): All M are P; All S are M; Therefore all S are P
  • Celarent (EAE-1): No M is P; All S are M; Therefore no S is P
  • Sorites: A chain of syllogisms where the conclusion of each is a premise of the next
  • Conjunction: Two premises combined to yield a joint conclusion
  • Modus Ponens: If P then Q; P; Therefore Q
  • Modus Tollens: If P then Q; Not Q; Therefore not P

JSON Schema

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "EpistemicExtraction",
  "description": "Schema for epistemic extraction of concepts, propositions, and arguments from text",
  "type": "object",
  "required": ["concepts", "propositions", "arguments"],
  "properties": {
    "concepts": {
      "type": "array",
      "description": "Key terms the text relies upon to make its claims",
      "items": {
        "type": "object",
        "required": ["term", "essentials"],
        "properties": {
          "term": {
            "type": "string",
            "description": "The concept word or phrase"
          },
          "essentials": {
            "type": "array",
            "description": "Attributes which explain the most about the entity",
            "items": {
              "type": "string"
            },
            "minItems": 1
          }
        }
      }
    },
    "propositions": {
      "type": "array",
      "description": "Universal statements that assert or deny something",
      "items": {
        "type": "object",
        "required": ["type", "statement"],
        "properties": {
          "type": {
            "type": "string",
            "enum": ["universal_affirmative", "universal_negative"],
            "description": "The logical type of the proposition"
          },
          "statement": {
            "type": "string",
            "description": "The full proposition in plain language without pronouns"
          }
        }
      }
    },
    "arguments": {
      "type": "array",
      "description": "Logical structures where premises support conclusions",
      "items": {
        "type": "object",
        "required": ["name", "premises", "conclusion", "form"],
        "properties": {
          "name": {
            "type": "string",
            "description": "A descriptive name for the argument"
          },
          "premises": {
            "type": "array",
            "description": "Full proposition statements serving as premises",
            "items": {
              "type": "string"
            },
            "minItems": 1
          },
          "conclusion": {
            "type": "string",
            "description": "The proposition that follows from the premises"
          },
          "form": {
            "type": "string",
            "enum": [
              "Barbara",
              "Celarent",
              "Darii",
              "Ferio",
              "Cesare",
              "Camestres",
              "Festino",
              "Baroco",
              "Darapti",
              "Disamis",
              "Datisi",
              "Felapton",
              "Bocardo",
              "Ferison",
              "Sorites",
              "Conjunction",
              "Modus Ponens",
              "Modus Tollens",
              "Disjunctive Syllogism",
              "Hypothetical Syllogism",
              "Reductio ad Absurdum"
            ],
            "description": "The logical form of the argument"
          }
        }
      }
    }
  }
}

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平台分布

Claude Code

31.51%
按下载量换算71

Codex

23.32%
按下载量换算52

OpenCode

17.1%
按下载量换算38

Antigravity

13.64%
按下载量换算31

Gemini CLI

8.81%
按下载量换算20

windsurf

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按下载量换算9

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