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Agent Skill · AI 工具

epistemic-extraction(认知提取)

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。

epistemic-extraction 是AI 工具类 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;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 1,526。

总安装 642周安装 27GitHub Stars 1下载 225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
MIT

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

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

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。

来源仓库内路径:skills/epistemic-extraction

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/richardanaya/agent-skills --skill epistemic-ex…;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

epistemic-extraction 怎么安装?

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

epistemic-extraction 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。

epistemic-extraction 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。

epistemic-extraction 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

epistemic-extraction 用的人多吗?

公开数据是累计安装 642 次,近一周安装 27 次,下载 225 次,GitHub 1 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。

epistemic-extraction 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 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AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
epistemic-extraction

认知提取 · 本页

6421需要联网MIT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

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"
          }
        }
      }
    }
  }
}

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

3.79%
按下载量换算9

安全审计

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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。

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