nlm-meta-study SKILL.md skillA

nlm-meta-study from lstr-1/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add lstr-1/skills/nlm-meta-study@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
lstr-1/skills
Path
nlm-meta-study/SKILL.md
Versions recorded
1
Latest version
v0.1.0, committed Sep 2, 2026
Size
20,827 bytes
Repository stars
2
License
none declared

Create scientific meta-studies on any topic using Gemini Notebook (NotebookLM). Invoke for systematic reviews, meta-analyses, evidence synthesis, literature surveys, or multi-source research reports.

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

# NotebookLM Meta-Study

This skill produces scientific meta-studies -- systematic, multi-source evidence syntheses -- using the notebooklm-mcp-cli MCP server. The workflow spans topic decomposition, deep web research, source deduplication, cross-source synthesis, cross-notebook aggregation, multi-format artifact generation, and local export.

## Prerequisites

Three conditions MUST be satisfied before any notebook operation.

Verify installation by running `nlm doctor`. This command diagnoses the CLI, MCP server binary, and Python environment. If `nlm` is not found on PATH, halt and instruct the user to run:

```sh
pipx install notebooklm-mcp-cli
```

Verify authentication by running `nlm login`. If the output indicates no valid session, direct the user to run `nlm login`. This launches a dedicated browser profile, extracts cookies, and persists the session. For multi-account setups, `nlm login --profile <name>` isolates credentials.

Verify MCP server registration by running `nlm setup list`. The output MUST list the agent currently in use (e.g., `claude-code`, `cursor`, `gemini`). If the agent is absent, instruct the user to run:

```sh
nlm setup add <agent-name>
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add lstr-1/skills/nlm-meta-study@sha256:6b2cbabe96ce0c62

The line at the top of this page pins the label v0.1.0, 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_t6yap6wh656ypbwh.svg)](https://markdownregistry.com/a/art_t6yap6wh656ypbwh)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 2, 2026.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-09-02 7364dfa 20,827 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 (20827 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

lstr-1/skills · 2 stars · license none declared · pushed 2026-10-13 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_t6yap6wh656ypbwh
GET https://markdownregistry.com/api/v1/resolve?ref=lstr-1/skills/nlm-meta-study
GET https://markdownregistry.com/api/v1/blob/6b2cbabe96ce0c62d5cbc0ff7150743ca82411f36437d7e0b42e4227c06fc96d

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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