mivas-run SKILL.md skillA
mivas-run from bluejay-ai-dev/mivas-bench is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add bluejay-ai-dev/mivas-bench/mivas-run@git:20261029.d2eecccPins git:20261029.d2eeccc in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- bluejay-ai-dev/mivas-bench
- Path
.agents/skills/mivas-run/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261029.d2eeccc, committed Oct 29, 2026
- First version recorded
- Sep 11, 2026
- Size
- 7,936 bytes
- Repository stars
- 48
- License
- MIT
Walks a consumer through running MIVAS Bench end to end, interview first: what model they are benchmarking, where the model is served (vendor API, or their own endpoint on an inference provider), and where the Docker container runs (local, any Kubernetes, or any container hosting platform). Then a gated ladder: preflight, deploy, three Bluejay smoke calls, harness + benchmark integrity, full industry run. Use when someone says /mivas-run, "run MIVAS myself", "set up mivas-bench…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# MIVAS run (consumer) Opinionated walkthrough. You interview the user, pick for them when they are unsure, and refuse setups that cannot work. Everything uses the public Bluejay REST API with **their** `BLUEJAY_API_KEY`, their inference, their hosting. Nothing internal to Bluejay. ## Step 0: interview. Do not run any command before it is done. Ask with AskUserQuestion, one question at a time, in this order. Bracketed text is the default you pick if they say "you choose" or do not know. Never silently assume anything else. 1. **What model are you benchmarking?** *(a)* a model already wired up — OpenAI Realtime 2.1 / 2.1-mini, GPT-Live 1, Gemini Live, Nova Sonic 2, Grok Voice, Qwen Audio Realtime, Phonic 1, or the LiveKit cascaded baseline → vendor API. *(b)* **your own or an open-weight model** → it needs an inference endpoint you stand up first; only the cascaded harnesses can point at one. **[openai/realtime-2.1]** Map the answer to a `family/runtime` from [HARNESS.md](HARNESS.md); refuse a model with no harness and offer to build one. 2. **Where is that model served?** Vendor API (they hold a provider key) or their own …
Read the whole file at its exact version.
How to install
mdr add bluejay-ai-dev/mivas-bench/mivas-run@sha256:6ef3e0fe430707abThe line at the top of this page pins the label git:20261029.d2eeccc, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_fxdvwvfm7enfo3as)
0 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Sep 11, 2026 and Oct 29, 2026, about one every 24 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261029.d2eeccc latest | 2026-10-29 | d2eeccc | 7,936 B | A | view · diff |
| git:20260911.3f4ba64 | 2026-09-11 | 3f4ba64 | 7,926 B | A | view · diff |
| git:20260911.7a442e0 | 2026-09-11 | 7a442e0 | 5,603 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7936 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
bluejay-ai-dev/mivas-bench · 48 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fxdvwvfm7enfo3as GET https://markdownregistry.com/api/v1/resolve?ref=bluejay-ai-dev/mivas-bench/mivas-run GET https://markdownregistry.com/api/v1/blob/6ef3e0fe430707ab3887cb5e21d37c83d2c5416195889d5cbc85b4a62b9de278
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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