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build-domain-ontology

build-domain-ontology is a skill for Claude Code, Codex from yogsoth-ai/de-anthropocentric-research-engine. It costs 36 tokens per session (780 once invoked), scanned A, original, Apache-2.0.

A structured map of the concepts and relationships within a subject area, including their hierarchy, sources, gaps, and remaining uncertainty.

In plain words
What is it for?
Use it to organize specialist knowledge, define concepts, type relationships, build hierarchies, and audit the completeness of a knowledge base.
Why use it?
It gives a consistent vocabulary and reveals missing or contradictory parts of a domain model.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 505repo +1 4d ago A scan 36 tokens original Apache-2.0

Good fit Use it to organize specialist knowledge, define concepts, type relationships, build hierarchies, and audit the completeness of a knowledge base.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yogsoth-ai/de-anthropocentric-research-engine/build-domain-ontology
View source ↗ yogsoth-ai/de-anthropocentric-research-engine
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill build-domain-ontology
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for build-domain-ontology

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/build-domain-ontology/github.svg)](https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/build-domain-ontology)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/build-domain-ontology"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/build-domain-ontology/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for build-domain-ontology

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/build-domain-ontology"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/build-domain-ontology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 780 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00780
Opus 5.5 $0.00014 $0.00312
Sonnet 5.5 $0.00007 $0.00156
Haiku 4.5 $0.00004 $0.00078

Measured 1mo ago against content hash 258e35ca3c76, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

build-domain-ontology scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/build-domain-ontology/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

build-domain-ontology

Purpose

Construct a tool-independent domain ontology: scope the domain, atomize concepts, type relations, build hierarchy, audit consistency, detect gaps, and refine confidence.

Input contract

required: [domain_scope, concept_records, relation_evidence]
optional: [assumptions, prior_findings, evidence_updates]
constraints: [consume named scientific objects; preserve provenance; keep unresolved uncertainty visible]

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

  1. You MUST load skill scope-domain to freeze the domain question, inclusion boundary, granularity, and reopening trigger before extracting entities.
  2. You MUST load skill extract-concepts to capture source-defined concepts and relation candidates while retaining aliases, qualifiers, and unresolved meanings.
  3. You MUST load skill atomize-concept to split broad concepts into mechanism-, function-, level-, or context-specific facets.
  4. You MUST load skill type-relation to type each in-scope relation while preserving direction, rejected alternatives, and evidence.
  5. You MUST load skill construct-hierarchy to insert supported edges into an acyclic hierarchy and quarantine cycles, orphans, and missing levels.
  6. You MUST load skill audit-structure-consistency to check node and relation schemas with hierarchy, dependency, cardinality, and cycle constraints.
  7. You MUST load skill detect-coverage-gap to prioritize absent, thin, disconnected, or weak regions.
  8. You MUST load skill canonicalize-entity to merge only semantically identical aliases and near-duplicates while retaining rejected merges.
  9. You MUST load skill update-confidence-from-evidence to update confidence after identities and structure are stable. If the ontology is ready to express directed mechanisms, consider construct-causal-model as the next tactic.

Deviation: reorder only when a dependency is already satisfied or unavailable; record the reason and confidence effect.

Read the full file on GitHub · 76 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 76 lines · 36 tokens per session scan A 258e35ca3c76

Subscribe to this mod's changes

build-domain-ontology is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (505 stars, last pushed 4d ago), licensed Apache-2.0. It adds 36 tokens to every session and 780 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-24.

Data and AIResearchacademic-researchai-scientistdeep-researchliterature-reviewmcpskill
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