nnsight-remote-interpretability SKILL.md skillA

nnsight-remote-interpretability from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add orchestra-research/ai-research-skills/nnsight-remote-interpretability@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
orchestra-research/ai-research-skills
Path
04-mechanistic-interpretability/nnsight/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Dec 17, 2025
Size
13,066 bytes
Repository stars
13,718
License
MIT

Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.

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

# nnsight: Transparent Access to Neural Network Internals

nnsight (/ɛn.saɪt/) enables researchers to interpret and manipulate the internals of any PyTorch model, with the unique capability of running the same code locally on small models or remotely on massive models (70B+) via NDIF.

**GitHub**: [ndif-team/nnsight](https://github.com/ndif-team/nnsight) (730+ stars)
**Paper**: [NNsight and NDIF: Democratizing Access to Foundation Model Internals](https://arxiv.org/abs/2407.14561) (ICLR 2025)

## Key Value Proposition

**Write once, run anywhere**: The same interpretability code works on GPT-2 locally or Llama-3.1-405B remotely. Just toggle `remote=True`.

```python
# Local execution (small model)
with model.trace("Hello world"):
    hidden = model.transformer.h[5].output[0].save()

# Remote execution (massive model) - same code!
with model.trace("Hello world", remote=True):
    hidden = model.model.layers[40].output[0].save()
```

## When to Use nnsight

**Use nnsight when you need to:**
- Run interpretability experiments on models too large for local GPUs (70B, 405B)
- Work with any PyTorch architecture (transformers, Mamba, custom models)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add orchestra-research/ai-research-skills/nnsight-remote-interpretability@sha256:f79dc9daf99c4ffb

The line at the top of this page pins the label v1.0.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mzy2yescljbxdxda.svg)](https://markdownregistry.com/a/art_mzy2yescljbxdxda)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Dec 17, 2025.

versioncommittedcommitsizeaudit
v1.0.0 latest2025-12-17 5b0d8bf 13,066 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13066 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

GitHub

orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mzy2yescljbxdxda
GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/nnsight-remote-interpretability
GET https://markdownregistry.com/api/v1/blob/f79dc9daf99c4ffbcb82072b4f162c296e4365dbb2fe6985e77be215ba0c814c

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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