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.
npx skills add bibinprathap/VeritasGraph --skill ontologygit clone --depth 1 https://github.com/bibinprathap/VeritasGraphWrote 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/bibinprathap/veritasgraph/ontology)<a href="https://agentmods.dev/skills/bibinprathap/veritasgraph/ontology"><img src="https://agentmods.dev/badge/skills/bibinprathap/veritasgraph/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/bibinprathap/veritasgraph/ontology"><img src="https://agentmods.dev/badge/skills/bibinprathap/veritasgraph/ontology.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 | $0.00020 | $0.00179 |
| Opus 5.5 | $0.00008 | $0.00072 |
| Sonnet 5.5 | $0.00004 | $0.00036 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
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 1mo 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.
This is a copy
89% identical to ontology — 80 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
/veritasreason:ontology
Manage ontology definitions and validation. Usage: /veritasreason:ontology <task> [args]
$ARGUMENTS = task + optional ontology item or schema file.
describe <concept>
Show ontology concept details.
from veritasreason.ontology import OntologyManager
manager = OntologyManager()
concept = manager.get_concept(concept_name)
Output: properties, relationships, inherited types, and examples.
validate [--schema <file>]
Validate the graph or schema against the ontology.
result = manager.validate_graph(graph=graph, schema_file=schema_file)
Return: validation status, errors, and correction suggestions.
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.
- 1mo ago First seen · 38 lines · 20 tokens per session scan A 411fe63f38f0
ontology is a skill published in the GitHub repository bibinprathap/VeritasGraph (326 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 179 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to ontology, differing in 80 lines, and is treated as a copy.
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