Borrowing it
Nothing to install: this file belongs to aget-framework/aget. 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/aget-framework/aget/main/.claude/skills/aget-expand-ontology/SKILL.mdgit clone --depth 1 https://github.com/aget-framework/agetWrote 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/aget-framework/aget/aget-expand-ontology)<a href="https://agentmods.dev/skills/aget-framework/aget/aget-expand-ontology"><img src="https://agentmods.dev/badge/skills/aget-framework/aget/aget-expand-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.
<a href="https://agentmods.dev/skills/aget-framework/aget/aget-expand-ontology"><img src="https://agentmods.dev/badge/skills/aget-framework/aget/aget-expand-ontology.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 | $0.00055 | $0.04755 |
| Opus 5 | $0.00028 | $0.02377 |
| Sonnet 5 | $0.00011 | $0.00951 |
| Haiku 4.5 | $0.00006 | $0.00475 |
Grade A, and why
aget-expand-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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- aget-expand-ontology — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/aget-expand-ontology
Expand this agent's SKOS vocabularies with new web-researched, evidence-backed concepts targeting thin topics. Merged from professional-core v1.5.0 + framework-AGET v1.0.0 + supervisor additions (SKILL-019 spec).
Purpose
Automate the research-informed ontology expansion workflow:
- Diagnose: Identify thin topics and KB gaps
- Propose: Rank expansion areas by gap size and tier importance
- Research: Web-search for best-practice evidenced concepts
- Design: Write formal SKOS entries with interlinkage
- Enrich: Enhance matched existing concepts with new evidence
- Verify: Validate no orphans, topic density improved
Input
Optional parameters after skill name:
| Parameter | Default | Description |
|---|---|---|
--areas N |
3 | Number of expansion areas to propose |
--concepts-per-area N |
7 | Domain concepts per area |
--bridging-per-area N |
3 | Bridging/interlinkage concepts per area |
--vocabulary V |
Auto (smallest) | Target specific vocabulary file |
--from-kb <path> |
None | Extract concepts from KB document instead of web search |
--dry-run |
false | Output project plan without writing to vocabulary |
--skip-web-search |
false | Use KB-only gap analysis (no web research) |
--skip-enhance |
false | Skip enhancement of matched concepts during deduplication |
--plan |
false | Output structured expansion plan without executing |
--summary |
false | Output only summary metrics |
--provenance "desc" |
None | Strategic context that triggered this expansion (event, motivation, audience) |
Examples:
/aget-expand-ontology— Auto-detect thinnest vocabulary, 3 areas, 7+3 concepts each/aget-expand-ontology --vocabulary ontology/ONTOLOGY_personal_ai_systems_v1.0.yaml— Target specific vocabulary/aget-expand-ontology --from-kb knowledge/REPORT.md— Document-driven expansion/aget-expand-ontology --dry-run— Propose expansion without writing/aget-expand-ontology --concepts-per-area 5 --bridging-per-area 2— Smaller expansion/aget-expand-ontology --provenance "Marcus 1:1 surfaced missing meta-concepts for team topology"— Expansion with strategic context
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.
- 11d ago First seen · 460 lines · 55 tokens per session scan A dacdd3816d41
aget-expand-ontology is a skill published in the GitHub repository aget-framework/aget (11 stars, last pushed 2d ago), licensed Apache-2.0. It adds 55 tokens to every session and 4,755 once invoked, about $0.0003 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 2026-08-30.
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aget-expand-ontology
Expand SKOS ontology vocabularies with web-researched, evidence-backed concepts. Identifies thin topics, proposes expansion areas, researches best-practice concepts, creates bridging interlinkage, writes formal SKOS entries, and enriches matched existing entries.
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