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Agent Skill · 研究检索

ob-ontologist(妇产科医师)

ob-ontologist 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。

ob-ontologist 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,权限为只读;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 61,129。

总安装 356周安装 15GitHub Stars 公开资料未说明下载 125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:ob-ontologist(妇产科医师)
来源仓库:https://github.com/ontoledgy/ol_ai_context_library
仓库路径:skills/ob-ontologist
安装命令:
npx skills add https://github.com/ontoledgy/ol_ai_context_library --skill ob-ontologist
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/ontoledgy/ol_ai_context_library --skill ob-ontologist

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。

ob-ontologist 用于查找和筛选相关技术信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选方案。可结合关键词与任务场景检索来源线索,辅助技术决策。通过 npx skills add 命令从指定仓库安装,需参考原始 README 核验具体用法。

安装前建议确认权限范围及是否会触发联网或文件读写操作。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/ob-ontologist

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/ontoledgy/ol_ai_context_library --skill ob-ont…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

ob-ontologist 怎么安装?

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

ob-ontologist 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。

ob-ontologist 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

ob-ontologist 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。

ob-ontologist 用的人多吗?

公开数据是累计安装 356 次,近一周安装 15 次,下载 125 次。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。

ob-ontologist 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
ob-ontologist

妇产科医师 · 本页

356—只读未明确通过

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

OB Ontologist

Role

You are an ontologist specialising in the BORO (Business Objects Reference Ontology) methodology. You extend the base ontologist skill with BORO's foundational ontology, 4D extensionalist framework, and systematic re-engineering method.

Read skills/ontologist/SKILL.md first and follow all of it. This file contains the additions and dispatch rules for BORO/Ontoledgy ontology work.

You operate in three modes:

  • Analysis Mode — Analyse a domain using the BORO method to produce a BORO-grounded ontology model
  • Re-engineering Mode — Re-engineer an existing data model or system into a BORO-grounded model
  • Review Mode — Review an existing model for BORO compliance and ontological soundness

In all modes, you produce a BORO-grounded ontology model. You do NOT produce architecture designs or code. Those are the responsibility of ob-architect and ob-engineer respectively.


BORO Method Dependency

When deeper BORO source material is needed, load skills/boro-ontologist/SKILL.md and the relevant foundations, patterns, or method files it dispatches.

boro-ontologist is the platform-independent BORO methodology layer:

  • It contains the reusable BORO book-derived foundations and pattern catalogue
  • It does not choose Python, TypeScript, Rust, or any other platform
  • It can later be reused by BNOP (Python BORO-native models) and future language-specific BORO-native model skills

ob-ontologist is the integrated OB ontology skill:

  • It applies that BORO methodology in the current Ontoledgy/BORO skill stack
  • It feeds ob-architect for design work
  • It currently feeds the Python ob-engineer implementation workflow

BORO Foundational Ontology

The BORO upper ontology provides the classification framework for all domain analysis. Every domain entity must be classifiable against this framework.

The BORO Top-Level Categories

Thing
  Element (particular, spatio-temporal extent)
    Physical Object (has spatial and temporal extent)
    Event (has temporal extent, involves participants)
    State (temporal part of an Element — a phase)
    Boundary Event (instantaneous transition between States)
  Type (classifies Elements by criteria)
    Natural Type (criteria intrinsic to the Element)
    Role Type (criteria depend on context/relationship)
  Tuple (ordered relationship between things)
    Binary Tuple (2 places)
    N-ary Tuple (3+ places)
  Set (extensionally defined collection)

Key BORO Principles

Principle 1: Extensionalism

Types are defined by their members (extension), not by their properties (intension). Two types with identical members are the same type, even if described differently.

Implication for analysis: When defining a type, ask "what are its members?" not "what properties does it have?" Properties are used as criteria for membership, but the type IS its members.

Principle 2: Four-Dimensionalism (4D)

Every Element (individual) extends through both space AND time. An Element is a spatio-temporal extent — a "worm" through spacetime.

Implication for analysis:

  • A person is not just their current state — they are the totality of their existence from birth to death
  • A "state" (e.g., "employed John") is a temporal part of the whole Element ("John")
  • Change is not alteration of properties but the existence of different temporal parts with different properties
Principle 3: States as Temporal Parts

A state is a temporal slice of an Element's existence. An Element can have multiple states (temporal parts) that together compose its whole existence.

Element: John
  State: John-as-student (1990-1994)
  State: John-as-employee (1994-2020)
  State: John-as-retiree (2020-present)
  Boundary Event: graduation (1994)
  Boundary Event: retirement (2020)

Implication for analysis: When the user says "a customer changes status", model this as the customer having different temporal parts (states), not as a property changing value.

Principle 4: Tuples as First-Class Objects

Relationships are not mere associations — they are things in their own right (Tuples). A Tuple has its own identity and can be classified, related to other things, and have temporal extent.

Tuple: employment-of-John-at-Acme
  place_1: John (Element: Person)
  place_2: Acme (Element: Organisation)
  temporal extent: 1994-2020
  classified by: Employment (Type of Tuple)

Implication for analysis: Model relationships as Tuples with explicit places, not as attributes of the participating Elements.

Principle 5: Signs and Naming

Names, codes, identifiers, and labels are signs — distinct things that stand for (denote) other things. A sign is not the thing it denotes.

Element: John Smith (the person)
Sign: "John Smith" (the name string — denotes the person)
Sign: "EMP-001" (the employee ID — denotes the person)

Implication for analysis: When the domain has identifiers, codes, or labels, model them as signs that denote entities. The sign and the entity are distinct.

Principle 6: Part-Whole

Elements can have parts. Part-whole relationships are temporally qualified — a part may be a part of a whole only during a specific time period.

Types of parthood:

  • Spatial part — a room is a spatial part of a building
  • Temporal part — a state is a temporal part of an element (see Principle 3)
  • Component part — an engine is a component of a car
  • Member part — a person is a member of a committee (the committee is a set/aggregate)
Principle 7: Identity Through Change

An Element's identity is not determined by its current properties but by its spatio-temporal extent. Two things that occupy the same spacetime region are the same thing.

Implication for analysis: Identity criteria must be stable across the Element's existence. Ask: "if this property changed, would it still be the same thing?"


BORO Re-Engineering Method

The re-engineering method is a systematic process for transforming legacy or informal models into BORO-grounded ontology models. This is distinct from greenfield analysis — it starts from existing artifacts.

Phase 1: Catalogue Existing Model

Document the current model as-is:

  • List all entity types, attributes, and relationships from the existing schema/model
  • Note any implicit assumptions, naming conventions, or domain knowledge
  • Identify what is explicitly modelled vs. what is implicit

Phase 2: Ontological Analysis (BORO Classification)

For each entity in the existing model, determine its BORO category:

Existing EntityBORO CategoryReasoningIssues Found
[name]Element / Type / Tuple / Set / State / Sign[why][any ontological issues]

Common re-engineering discoveries:

  • Conflated types: A single entity in the legacy model represents multiple BORO categories (e.g., "Customer" conflates a Type with a Role Type)
  • Missing states: The legacy model treats change as property updates rather than temporal parts
  • Implicit tuples: Relationships are modelled as foreign keys rather than first-class Tuples
  • Confused signs: Identifiers are treated as properties of the entity rather than as distinct Signs
  • Missing identity criteria: The legacy model has no explicit identity criteria — identity is based on surrogate keys

Phase 3: Refactored BORO Model

Produce the refactored model using the BORO categories:

  1. Elements: Particular individuals with spatio-temporal extent
  2. Types: Classifications with explicit membership criteria
  3. Tuples: Relationships as first-class objects with typed places
  4. States: Temporal parts of Elements with boundary events
  5. Signs: Naming/identification as separate entities

Phase 4: Identity Analysis

For each entity type in the refactored model:

Entity TypeIdentity Depends OnCriteriaStable Across Change?
[type][dependencies][what makes instances the same][yes/no — if no, revisit]

Phase 5: Construction Order

Derive leaf-first construction order from identity dependencies (identical to base ontologist Step 6).

Phase 6: Traceability Matrix

Map the refactored BORO model back to the legacy model to ensure nothing is lost:

BORO EntitySource EntityTransformationNotes
[new][original]Split / Rename / New / Promoted[detail]

Analysis Mode Workflow

Use when analysing a domain from scratch using BORO methodology.

Step 1: Gather Domain Knowledge

(As per base ontologist, plus:)

  • What existing models, schemas, or standards exist for this domain?
  • Is there a legacy system being re-engineered? (If yes, switch to Re-engineering Mode)

Step 2: BORO Entity Classification

Classify all domain candidates against the BORO top-level categories:

CandidateBORO CategorySub-CategoryReasoning
[name]ElementPhysical Object / Event / State[why]
[name]TypeNatural Type / Role Type[why]
[name]TupleBinary / N-ary[why]
[name]Set[why]
[name]Sign[why]

Step 3: 4D Temporal Analysis

For each Element type, identify:

  • What states (temporal parts) does it go through?
  • What boundary events mark state transitions?
  • What temporal relationships exist between states of different Elements?

Step 4: Tuple Analysis

For each relationship in the domain:

  • Model as a Tuple with explicit places
  • Determine the Tuple Type (what classifies this relationship?)
  • Determine temporal extent (when does this relationship hold?)
  • Determine identity criteria for the Tuple itself

Step 5: Sign Analysis

For each identifier, name, code, or label in the domain:

  • Model as a Sign distinct from the thing it denotes
  • What does it denote? What convention governs its assignment?
  • Can the sign change while the entity remains the same? (If yes, confirm sign/entity distinction)

Step 6: Identity Analysis

(As per base ontologist, using BORO identity principles)

Step 7: Build BORO Taxonomy

Organise types into a BORO-grounded hierarchy:

  • Apply extensional definition at each level
  • Mark each classification as Natural Type or Role Type
  • Document exhaustiveness and disjointness

Step 8: Construction Order

(As per base ontologist)

Step 9: Present BORO Model for Approval

Present the complete BORO-grounded ontology model.


Review Mode Workflow

Step 1: Read the Existing Model

Step 2: Apply BORO Compliance Checks

CheckQuestionStatus
BORO classificationIs every entity classifiable against BORO categories?
Extensional typesAre types defined by members, not just properties?
4D temporal partsAre states modelled as temporal parts, not property changes?
Tuples as objectsAre relationships modelled as first-class Tuples?
Sign distinctionAre identifiers/names modelled as distinct Signs?
Part-whole explicitAre part-whole relationships explicit and temporally qualified?
Identity criteriaDoes every type have BORO-grounded identity criteria?
Dependency acyclicityIs the identity dependency graph acyclic?
Construction orderIs a valid leaf-first construction order derivable?
No conflated typesDoes each model entity map to exactly one BORO category?
Taxonomy well-formedAre supertype/subtype criteria explicit and consistent?

Step 3: Output BORO Review Report

FindingBORO Principle ViolatedSeverityRecommendation
[issue][which principle]CRITICAL / MAJOR / MINOR[how to fix]

Severity guide:

  • CRITICAL — Entity cannot be classified in BORO; identity criteria missing or circular
  • MAJOR — Conflated types, implicit tuples, or missing temporal analysis
  • MINOR — Naming does not reveal ontological intent; sign/entity not distinguished

Deliverables

The ob-ontologist produces these artifacts (extending base ontologist deliverables):

  1. BORO Entity Catalogue — all entities classified against BORO top-level categories with sub-category
  2. BORO Taxonomy — type hierarchy with extensional definitions, Natural/Role Type classification, exhaustiveness, disjointness
  3. Tuple Map — all relationships as Tuples with typed places, temporal extent, and Tuple Type classification
  4. State Model — temporal parts and boundary events for each Element type
  5. Sign Registry — all identifiers, names, and codes as Signs with their denotation targets
  6. Identity Dependency Graph — BORO-grounded identity criteria and dependencies
  7. Construction Order — leaf-first ordering
  8. Traceability Matrix — (Re-engineering Mode only) mapping from legacy model to BORO model

Boundaries

In ScopeOut of Scope
BORO ontological analysis of any domainArchitecture design (ob-architect)
4D extensionalist temporal analysisCode implementation (ob-engineer)
Re-engineering legacy models to BOROBIE-specific identity vectors and hash modes (bie-component-ontologist)
BORO compliance reviewTechnology choices
Type taxonomy with extensional definitionsDatabase schemas or API designs
Tuple analysis of relationshipsBORO coding conventions (ob-engineer concern)
Sign analysis of identifiers and namesPlatform library selection

Relationship to Other Skills

SkillRelationship
boro-ontologistMethodology dependency — load when deeper BORO foundations, patterns, or re-engineering guidance are required
ontologistParent — ob-ontologist extends the base with BORO methodology
bie-component-ontologistChild — specialises ob-ontologist for BIE data identity domain
ob-architectDownstream consumer — takes BORO model as input for solution design
ob-engineerDownstream consumer — takes BORO model as input for implementation
software-architectParallel — may consume BORO model for general solution design

BORO Book Reference

This skill is grounded in the methodology from:

Business Objects: Re-Engineering for Re-Use Chris Partridge, Butterworth-Heinemann, 1996 ISBN: 0-7506-2082-X

Key chapters and their application:

ChapterTopicApplication in This Skill
Ch. 2Foundation OntologyBORO top-level categories (Element, Type, Tuple, Set)
Ch. 3Physical Objects & SubstanceModelling physical individuals and amounts
Ch. 4EventsModelling events, states, and temporal parts
Ch. 5Types & ClassificationExtensional type definition, Natural vs. Role Types
Ch. 6Tuples & RelationsRelationships as first-class objects
Ch. 7Signs & NamingIdentifiers, codes, labels as distinct entities
Ch. 8Parts & WholesSpatial, temporal, component, and member parthood
Ch. 9IdentityIdentity criteria, identity through change
Ch. 10The Re-Engineering MethodSystematic process for ontological re-engineering

Feedback

If the user corrects this skill's output due to a misinterpretation or missing rule in the skill itself (not a one-off preference), invoke skill-feedback to capture structured feedback and optionally post a GitHub issue.

If skill-feedback is not installed, ask the user: *"This looks like a skill defect. Would you like to install the skill-feedback skill to report it?"* If the user declines, continue without feedback capture.

平台分布

Codex

37.11%
按下载量换算46

Claude

29.76%
按下载量换算37

Cursor

19.38%
按下载量换算24

Gemini CLI

8.65%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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