Borrowing it
Nothing to install: this file belongs to modeled-information-format/MIF. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/modeled-information-format/MIF/main/.claude/skills/ontology-manager/SKILL.mdgit clone --depth 1 https://github.com/modeled-information-format/MIFWrote 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.
[](https://agentmods.dev/skills/modeled-information-format/mif/ontology-manager)<a href="https://agentmods.dev/skills/modeled-information-format/mif/ontology-manager"><img src="https://agentmods.dev/badge/skills/modeled-information-format/mif/ontology-manager/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.
<a href="https://agentmods.dev/skills/modeled-information-format/mif/ontology-manager"><img src="https://agentmods.dev/badge/skills/modeled-information-format/mif/ontology-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00118 | $0.01935 |
| Opus 5 | $0.00059 | $0.00967 |
| Sonnet 5 | $0.00024 | $0.00387 |
| Haiku 4.5 | $0.00012 | $0.00194 |
Grade A, and why
ontology-manager 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MIF Ontology Manager
Manage MIF ontology definition files using yq, jq, and bundled
shell scripts. All operations are grounded in the MIF ontology JSON
Schema at schema/ontology/ontology.schema.json.
Prerequisites
# Required
brew install yq jq # or equivalent package manager
# Optional (for JSON Schema validation)
pip install jsonschema
# Optional (for JSON-LD conversion)
pip install pyyaml
Workflow Decision Tree
User wants to...
|
+-> Create a new ontology
| scaffold_ontology.sh <id> <ver> [--extends mif-base]
| Then edit the generated YAML to add domain content.
|
+-> Validate an ontology
| validate_ontology.sh <file.yaml> [schema.json]
|
+-> Inspect ontology contents
| inspect_ontology.sh <file.yaml> [--section X] [--json]
| Sections: entities, namespaces, traits, relationships, discovery
|
+-> Convert formats
| convert_format.sh yaml2json <in.yaml> [out.json]
| convert_format.sh json2yaml <in.json> [out.yaml]
| convert_format.sh yaml2jsonld <in.yaml> [out.jsonld]
|
+-> Understand the schema
| Read references/schema-reference.md
|
+-> Add entity types / traits / relationships / patterns
Use yq commands documented below.
Scripts
All scripts are in scripts/ relative to this skill directory.
Set SKILL_DIR to this skill's path before running.
scaffold_ontology.sh
Generate a new ontology skeleton with valid structure.
# Standalone ontology
bash "$SKILL_DIR/scripts/scaffold_ontology.sh" \
my-domain 0.1.0 > my-domain.ontology.yaml
# Extending mif-base
bash "$SKILL_DIR/scripts/scaffold_ontology.sh" \
my-domain 0.1.0 --extends mif-base \
> my-domain.ontology.yaml
# Extending multiple parents
bash "$SKILL_DIR/scripts/scaffold_ontology.sh" \
my-domain 0.1.0 --extends mif-base,shared-traits \
> my-domain.ontology.yaml
validate_ontology.sh
Validate ontology YAML for correctness.
# Basic validation (syntax, required fields, formats)
bash "$SKILL_DIR/scripts/validate_ontology.sh" my.ontology.yaml
# With JSON Schema validation
bash "$SKILL_DIR/scripts/validate_ontology.sh" my.ontology.yaml \
schema/ontology/ontology.schema.json
What ships with it
5 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.
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.
- 8d ago First seen · 269 lines · 118 tokens per session scan A 3e67c52654c8
ontology-manager is a skill published in the GitHub repository modeled-information-format/MIF (12 stars, last pushed 6d ago), licensed MIT. It adds 118 tokens to every session and 1,935 once invoked, about $0.0006 per session on Opus 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 2026-08-31.
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remnic-entities
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remnic-recall
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remnic-remember
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remnic-search
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