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 mareasw/ontoskills --skill ontomcp-drivergit clone --depth 1 https://github.com/mareasw/ontoskillsWrote 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/mareasw/ontoskills/ontomcp-driver)<a href="https://agentmods.dev/skills/mareasw/ontoskills/ontomcp-driver"><img src="https://agentmods.dev/badge/skills/mareasw/ontoskills/ontomcp-driver/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/mareasw/ontoskills/ontomcp-driver"><img src="https://agentmods.dev/badge/skills/mareasw/ontoskills/ontomcp-driver.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 | $0.00019 | $0.00304 |
| Opus 5.5 | $0.00008 | $0.00122 |
| Sonnet 5.5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
ontomcp-driver 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.
What it actually says
Tools
- prefetch_knowledge — One call: search + fetch context + compact. Use this first.
- search — Find skills by keyword, alias, or structured filters.
- get_skill_context — Full skill context with knowledge nodes (procedures, constraints, anti-patterns).
- evaluate_execution_plan — Validate a multi-skill plan against state chains.
- query_epistemic_rules — Cross-skill knowledge rules filtered by kind/severity.
Responses are compact by default. Use format: "raw" for full JSON.
Workflow
- Call
prefetch_knowledgewith a query describing the task goal. - Read the returned knowledge nodes — they contain procedures, constraints, and anti-patterns.
- For multi-skill plans: call
evaluate_execution_planto validate state chains. - Write code following the knowledge nodes.
Critical rules
- Always prefetch first — don't guess skill names.
- CRITICAL/HIGH severity nodes are hard constraints — never skip them.
- Check requiresState — skills fail without their preconditions.
State semantics
Skills form a state machine: requiresState (preconditions) / yieldsState (outcomes).
Skill A's yieldsState must match Skill B's requiresState for valid chaining.
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 · 33 lines · 19 tokens per session scan A 537aa2fe4445
ontomcp-driver is a skill published in the GitHub repository mareasw/ontoskills (23 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 304 once invoked, about $0.0001 per session on Opus 5.5. 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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