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.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/instructions/volantlabs/vellis/agents-md)<a href="https://agentmods.dev/instructions/volantlabs/vellis/agents-md"><img src="https://agentmods.dev/badge/instructions/volantlabs/vellis/agents-md/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/instructions/volantlabs/vellis/agents-md"><img src="https://agentmods.dev/badge/instructions/volantlabs/vellis/agents-md.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 | $0.04953 | $0.04953 |
| Opus 5.5 | $0.01981 | $0.01981 |
| Sonnet 5.5 | $0.00991 | $0.00991 |
| Haiku 4.5 | $0.00495 | $0.00495 |
Grade A, and why
vellis AGENTS.md 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 — 359 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Repository Purpose
Vellis is a library of reusable software components and tooling for AI-native software construction.
The repository should evolve in this order:
- Build a coherent component library.
- Add reference applications that demonstrate how components compose into software solutions.
- Add tooling and SDK surfaces for building software from component models.
- Add runtime support, including distributed-runtime patterns, when the component contracts justify it.
Prefer reusable, self-contained behavior over one-off application code. Treat applications, SDKs, runtimes, and generated systems as consumers of the component library, not as reasons to weaken component boundaries.
Use textual SysML v2 under model/ as the normative source for component and application design. The pinned official Java validator is mandatory through just model-check; repository regex/profile checks are not formal language validation. Validate Foundation, Bibliotek, and Vellis from independently packaged KPAR contents, and keep the official parser-backed inventory and structured conformance objectives current through just model-render. Generated explanatory pages live under generated/reference/, while generated machine projections live under generated/model/. Do not introduce a parallel hand-authored component specification.
Before making or reviewing a SysML/KerML syntax or semantics decision, use
.agents/skills/sysml-reference/SKILL.md and search the generated, checksum-pinned page corpus under
reference/specifications/. Read the smallest sufficient page set, follow normative cross-references,
and state the specification section and page basis for consequential conclusions. Distinguish official
language semantics from informative examples, Vellis modeling conventions, and agent inference. The
official PDFs downloaded by just model-setup remain authoritative; the committed Markdown corpus is
a generated retrieval projection and must not be edited by hand. Validation complements rather than
replaces specification consultation.
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 · 359 lines · 4,953 tokens per session scan A 78014ef90a81
vellis AGENTS.md is an instructions file published in the GitHub repository volantlabs/vellis (9 stars, last pushed 4d ago), licensed Apache-2.0. It adds 4,953 tokens to every session, about $0.0198 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.