Tooluniverse Literature Deep Research

Name: Tooluniverse Literature Deep Research
Author: mims-harvard

Checked

mims-harvard·vlatest·other·Apache-2.0

This skill performs in-depth literary research using multiple tools, providing comprehensive analysis and insights for nuanced understanding.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add mims-harvard/tooluniverse --skill tooluniverse-literature-deep-research -a claude-code

Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

mims-harvard

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 28 Sept 2026

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned mims-harvard/tooluniverse at f5c37eebeb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: f5c37eebeb
Manifest: skills/tooluniverse-literature-deep-research/SKILL.md
Scanned: 21 files, 7,002 lines
Copies in repo: 3 — all of them scanned

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About this skill

What it does

This skill enables AI agents to conduct comprehensive deep research specifically within the field of literature. It allows for the discovery, analysis, and synthesis of literary works, themes, and critical perspectives to support informed discussions or academic inquiries.

When to use it

Analyzing complex themes across multiple novels or poems to identify recurring motifs.
Preparing detailed summaries and critiques for a literature class or book club discussion.
Investigating the historical context and authorial intent behind specific literary periods.
Comparing narrative styles and character development between different authors or genres.

Key capabilities

Performs deep research focused exclusively on literary domains.
Synthesizes information from various literary sources to provide coherent insights.
Supports complex queries regarding plot, character arcs, and thematic elements.

Example prompts

"Conduct a deep analysis of the symbolism in The Great Gatsby compared to To Kill a Mockingbird."
"Research the evolution of Gothic literature from the 18th century to modern adaptations."
"Summarize the critical reception of Toni Morrison's work and its impact on contemporary fiction."

Tips & gotchas

Ensure your prompts clearly define the specific literary focus (e.g., a genre, author, or era) to maximize the depth of the research returned. This tool is specialized for literature; avoid using it for non-literary topics like science or history.