Borrowing it
Nothing to install: this file belongs to kubony/claude-knowledge-graph. 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/kubony/claude-knowledge-graph/main/.claude/skills/ontology-query/SKILL.mdgit clone --depth 1 https://github.com/kubony/claude-knowledge-graphWrote 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/kubony/claude-knowledge-graph/ontology-query)<a href="https://agentmods.dev/skills/kubony/claude-knowledge-graph/ontology-query"><img src="https://agentmods.dev/badge/skills/kubony/claude-knowledge-graph/ontology-query/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/kubony/claude-knowledge-graph/ontology-query"><img src="https://agentmods.dev/badge/skills/kubony/claude-knowledge-graph/ontology-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00033 | $0.00708 |
| Opus 5 | $0.00016 | $0.00354 |
| Sonnet 5 | $0.00007 | $0.00142 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
ontology-query 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 9d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ontology Query
Execute SPARQL queries on the knowledge graph.
Usage
Preset Query
source .venv/bin/activate && \
python .claude/skills/ontology-query/scripts/query_knowledge.py ./knowledge.ttl \
--preset <preset_name> --param "<value>"
Custom SPARQL
source .venv/bin/activate && \
python .claude/skills/ontology-query/scripts/query_knowledge.py ./knowledge.ttl \
--query "SELECT ?name WHERE { ?p a :Person ; :name ?name }"
Interactive Mode
source .venv/bin/activate && \
python .claude/skills/ontology-query/scripts/query_knowledge.py ./knowledge.ttl --interactive
List Presets
python .claude/skills/ontology-query/scripts/query_knowledge.py --list-presets
Preset Queries
Person Queries
| Preset | Description | Parameter |
|---|---|---|
all_persons |
All persons | - |
person_meetings |
Meetings with person | Name |
person_topics |
Topics discussed | Name |
person_network |
People person knows | Name |
person_projects |
Projects involved | Name |
org_members |
Organization members | Org name |
Project Queries
| Preset | Description | Parameter |
|---|---|---|
all_projects |
All projects | - |
active_projects |
Non-archived projects | - |
archived_projects |
Archived projects | - |
project_details |
Project details | Project name |
project_meetings |
Project meetings | Project name |
project_participants |
Project members | Project name |
search_projects |
Search by keyword | Keyword |
Meeting/Other Queries
| Preset | Description | Parameter |
|---|---|---|
recent_meetings |
Last 10 meetings | - |
meetings_by_date |
Meetings in month | YYYY-MM |
search_keyword |
Search content | Keyword |
stats |
Overall statistics | - |
Examples
# All persons
python .claude/skills/ontology-query/scripts/query_knowledge.py knowledge.ttl --preset all_persons
# Meetings with John
python .claude/skills/ontology-query/scripts/query_knowledge.py knowledge.ttl --preset person_meetings --param "John"
# Organization members
python .claude/skills/ontology-query/scripts/query_knowledge.py knowledge.ttl --preset org_members --param "Acme"
# Active projects
python .claude/skills/ontology-query/scripts/query_knowledge.py knowledge.ttl --preset active_projects
# Statistics
python .claude/skills/ontology-query/scripts/query_knowledge.py knowledge.ttl --preset stats
What ships with it
1 file 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.
- 9d ago First seen · 108 lines · 33 tokens per session scan A ea07bd111fd0
ontology-query is a skill published in the GitHub repository kubony/claude-knowledge-graph (48 stars, last pushed 8mo ago), licensed MIT. It adds 33 tokens to every session and 708 once invoked, about $0.0002 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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