tribe-v2-neuroscience SKILL.md skillA
tribe-v2-neuroscience from broomva/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add broomva/skills/tribe-v2-neuroscience@git:20260628.9edbf07Pins git:20260628.9edbf07 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- broomva/skills
- Path
skills/neuroscience/tribe-v2-neuroscience/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260628.9edbf07, committed Jun 28, 2026
- Size
- 14,194 bytes
- Repository stars
- 5
- License
- MIT
In-silico neuroscience experiments using Meta's TRIBE v2 (TRansformer for In-silico Brain Experiments). Predicts fMRI cortical responses to video, audio, and text without brain scanners. Use when: (1) Designing and running virtual neuroscience experiments, (2) Predicting brain responses to stimuli, (3) Replicating classic neuroscience paradigms computationally, (4) Mapping which stimuli activate specific cortical regions (visual, auditory, language, DMN), (5) Testing hypotheses about neural…
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
# TRIBE v2 Neuroscience
In-silico neuroscience using Meta FAIR's TRIBE v2 — predict fMRI cortical responses to video, audio, or text using a single pretrained transformer. Run experiments on any hardware, without a scanner.
## What TRIBE v2 Is
**TRansformer for In-silico Brain Experiments** (v2) is a brain encoding model released by Meta FAIR on March 26, 2026. It is **not** a language model — it predicts fMRI BOLD responses on the fsaverage5 cortical surface (~20,000 vertices per hemisphere) given multimodal sensory input.
Architecture:
```
Video → V-JEPA2 (video encoder)
Audio → Wav2Vec-BERT 2.0 (audio encoder)
Text → LLaMA 3.2-3B (text encoder)
↓
Unified Transformer
↓
fsaverage5 mesh (~20k vertices)
(n_timesteps × n_vertices)
```
Key properties:
- **70x** resolution improvement over TRIBE v1
- **2-3x** accuracy improvement, zero-shot generalization to new subjects
- **5-second temporal offset** built in — accounts for hemodynamic lag
- **Log-linear scaling** with fMRI training data (like LLMs with tokens)
- **License**: CC BY-NC 4.0 (non-commercial research only)
- **HuggingFace**: `facebook/tribev2`
…Read the whole file at its exact version.
How to install
mdr add broomva/skills/tribe-v2-neuroscience@sha256:502ae8e7293f35c2The line at the top of this page pins the label git:20260628.9edbf07, 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_jeficlueq2gofzbg)
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Versions
The registry has recorded 1 version of this file, committed on Jun 28, 2026.
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 (14194 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
broomva/skills · 5 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jeficlueq2gofzbg GET https://markdownregistry.com/api/v1/resolve?ref=broomva/skills/tribe-v2-neuroscience GET https://markdownregistry.com/api/v1/blob/502ae8e7293f35c2c7ca7a26a1495a5d3ba1eb17f6eacdb47782e91d8b42f85e
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.