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-sync/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-sync)<a href="https://agentmods.dev/skills/kubony/claude-knowledge-graph/ontology-sync"><img src="https://agentmods.dev/badge/skills/kubony/claude-knowledge-graph/ontology-sync.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00322 |
| Opus 5 | $0.00010 | $0.00161 |
| Sonnet 5 | $0.00004 | $0.00064 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
ontology-sync 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.
What it actually says
Ontology Sync
Sync vault to TTL knowledge graph.
Usage
Basic Sync
source .venv/bin/activate && \
python .claude/skills/ontology-sync/scripts/sync_vault.py
With Options
source .venv/bin/activate && \
python .claude/skills/ontology-sync/scripts/sync_vault.py \
--vault ./my-vault \
--output ./knowledge.ttl
Parameters
| Parameter | Default | Description |
|---|---|---|
--vault |
./vault |
Vault directory |
--output |
./knowledge.ttl |
Output TTL file |
--persons-dir |
persons |
Person files folder |
--projects-dir |
projects |
Project files folder |
--archives-dir |
archives |
Archives folder |
Output
knowledge.ttl- RDF triples in Turtle format
Statistics
After sync, displays:
- Person count
- Project count
- Meeting count
- Organization count
- Topic count
- Total triples
When to Use
- After adding new person/project files
- After updating meeting records
- Before querying the knowledge graph
- As part of vault maintenance workflow
Dependencies
- ontology-engine skill (vault_to_ttl.py)
- rdflib, pyyaml
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.
- 8d ago First seen · 63 lines · 20 tokens per session scan A 3f299d9cb2db
ontology-sync is a skill published in the GitHub repository kubony/claude-knowledge-graph (48 stars, last pushed 8mo ago), licensed MIT. It adds 20 tokens to every session and 322 once invoked, about $0.0001 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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