Borrowing it
Nothing to install: this file belongs to volantlabs/vellis. 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/volantlabs/vellis/main/.agents/skills/sysml-reference/SKILL.mdgit clone --depth 1 https://github.com/volantlabs/vellisWrote 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/volantlabs/vellis/sysml-reference)<a href="https://agentmods.dev/skills/volantlabs/vellis/sysml-reference"><img src="https://agentmods.dev/badge/skills/volantlabs/vellis/sysml-reference/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/volantlabs/vellis/sysml-reference"><img src="https://agentmods.dev/badge/skills/volantlabs/vellis/sysml-reference.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 | $0.00092 | $0.00799 |
| Opus 5.5 | $0.00037 | $0.00320 |
| Sonnet 5.5 | $0.00018 | $0.00160 |
| Haiku 4.5 | $0.00009 | $0.00080 |
Grade A, and why
sysml-reference 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 2mo 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SysML Reference
Use the committed page corpus as a searchable projection of the pinned official PDFs. Treat the PDFs as authoritative and the Markdown as generated retrieval material.
Workflow
-
Unless the request already supplies an exact specification section or page, the first corpus command must be the ranked, outline-aware finder. Pass the modeling question or a concise description, not just one generic word:
just model-reference-find "<question or construct description>"Do not replace this first step with a broad
rgoverpages/. The finder is designed to handle natural wording without loading every textual match. -
Review the ranked section titles and snippets. Open the best page, then read only the adjacent pages needed to finish the section. The finder routes to evidence; its rank is not an answer. If one specification is clearly in scope, rerun with
--specification sysml-2.0or--specification kerml-1.0before broadening the search. -
If results are broad or use different terminology, search outline headings before raw page text:
rg -n -i '<construct or section phrase>' reference/specifications/{sysml-2.0,kerml-1.0}/index.mdUse raw
rgoverpages/only for exact phrases, identifiers, or a cited section number. -
Follow normative cross-references between SysML and KerML. Search by both the construct name and any referenced section number, and prefer the normative Clause 8 definition when Clause 7 is explicitly informative.
-
Inspect the pinned PDF under
.cache/sysml/formal/when a table, figure, mathematical layout, indentation, or questionable extraction affects the conclusion. Runjust model-setupif it is absent. -
Separate the result into:
- normative SysML or KerML semantics supported by cited sections and pages;
- informative examples in the specifications;
- Vellis repository profile or modeling conventions;
- explicit inference where the sources do not directly decide the question.
-
State the reference basis for every consequential conclusion using specification, section, and printed or physical page. Never present training-memory recall as specification evidence.
-
After changing a model, run the narrow scoped check while editing and the official validation gate required by the repository before completion.
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.
- 2mo ago First seen · 65 lines · 92 tokens per session scan A afd9477f04a5
sysml-reference is a skill published in the GitHub repository volantlabs/vellis (9 stars, last pushed 4d ago), licensed Apache-2.0. It adds 92 tokens to every session and 799 once invoked, about $0.0004 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 2026-08-31.
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