What is ontology-validator?

A checker for material-sample annotations, which are labels and properties describing a sample, against an ontology—a shared list of allowed classes, properties, and relationships.

It checks annotation JSON, verifies property domain and range rules, and reports required, recommended, and optional fields that are missing.

It catches misspelled or unknown terms, invalid relationships, and missing required information before the annotations are used.

ontology-validator — Skill for Claude Code by HeshamFS

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 HeshamFS/materials-simulation-skills --skill ontology-validator

Clone the repo

git clone --depth 1 https://github.com/HeshamFS/materials-simulation-skills

Made for: Claude Code.

Or install ontology, the plugin that ships this one along with the rest of its 3 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/heshamfs/materials-simulation-skills/ontology-validator/github.svg)](https://agentmods.dev/skills/heshamfs/materials-simulation-skills/ontology-validator)

Your own site

<a href="https://agentmods.dev/skills/heshamfs/materials-simulation-skills/ontology-validator"><img src="https://agentmods.dev/badge/skills/heshamfs/materials-simulation-skills/ontology-validator/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/heshamfs/materials-simulation-skills/ontology-validator"><img src="https://agentmods.dev/badge/skills/heshamfs/materials-simulation-skills/ontology-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,019 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.

Model	Per session	Once invoked
Fable 5.1	$0.00122	$0.03019
Opus 5.5	$0.00049	$0.01208
Sonnet 5.5	$0.00024	$0.00604
Haiku 4.5	$0.00012	$0.00302

Measured 3d ago against content hash 4190138b566c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ontology-validator 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 3d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/completeness_checker.py, scripts/relationship_checker.py, scripts/schema_checker.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/ontology/ontology-validator/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ontology Validator

Goal

Validate that material sample annotations comply with ontology constraints: correct class names, valid properties, consistent domain/range relationships, and required fields present.

Requirements

Python 3.10+
No external dependencies (Python standard library only)
Requires ontology-explorer's cmso_summary.json and ontology_registry.json

Inputs to Gather

Input	Description	Example
Annotation	JSON dict or list of annotation dicts	`{"class":"UnitCell","properties":{"has Bravais lattice":"cF"}}`
Class name	Class to check completeness for	`Crystal Structure`
Provided properties	Comma-separated property names	`"has unit cell,has space group"`
Relationships	JSON array of subject-property-object triples	`[{"subject_class":"Material","property":"has structure","object_class":"Crystal Structure"}]`

Decision Guidance

What do you need to validate?
├── An annotation (classes and properties are correct)
│   └── schema_checker.py --ontology cmso --annotation '<json>'
├── Completeness of a class annotation
│   └── completeness_checker.py --ontology cmso --class <name> --provided <props>
└── Object property relationships
    └── relationship_checker.py --ontology cmso --relationships '<json>'

Script Outputs (JSON Fields)

Script	Key Outputs
`scripts/schema_checker.py`	`results.valid`, `results.errors` (each unknown_class/unknown_property error carries a `suggestions` array of nearest matches), `results.warnings`, `results.class_valid`, `results.properties_valid`
`scripts/completeness_checker.py`	`results.completeness_score`, `results.required_missing`, `results.recommended_missing`, `results.optional_missing`, `results.unrecognized`
`scripts/relationship_checker.py`	`results.valid`, `results.results`, `results.errors`

Workflow

After mapping a sample with ontology-mapper, pass the annotations to schema_checker.py to verify correctness.
For a specific class, use completeness_checker.py to see what required/recommended properties are missing.
When building relationships between instances, use relationship_checker.py to ensure domain/range consistency.

Read the full file on GitHub · 219 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

3d ago Changed · +2 lines 4190138b566c
1mo ago First seen · 217 lines · 122 tokens per session scan A 2c117c9cf15c

Subscribe to this mod's changes

ontology-validator is a skill published in the GitHub repository HeshamFS/materials-simulation-skills (83 stars, last pushed 4d ago), licensed Apache-2.0. It adds 122 tokens to every session and 3,019 once invoked, about $0.0005 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 2026-08-30.

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