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Literature Review

Listed
ovachiever·vlatest·writing

Synthesizes relevant academic literature on a topic, identifying key themes and research gaps for informed decision-making.

Repository

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add ovachiever/droid-tings --skill literature-review -a claude-code

  2. 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

ovachiever

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

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.crossref.org, doi.org.

    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.

    Hosts contacted

    doi.orgundeclaredapi.crossref.orgundeclared

    What it found (3 of 4)

    • skills/literature-review/scripts/search_databases.py:41contacts doi.org
      md += f"**DOI**: [{result['doi']}](https://doi.org/{result['doi']})\n\n"
    • skills/literature-review/scripts/verify_citations.py:32contacts doi.org
      url = f"https://doi.org/api/handles/{doi}"
    • skills/literature-review/scripts/verify_citations.py:157contacts doi.org
      citation += f". https://doi.org/{doi}"

  • 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 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 ovachiever/droid-tings at 7acd12a754.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7acd12a754
Manifest
skills/literature-review/SKILL.md
Scanned
7 files, 2,167 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The literature-review skill enables AI agents to systematically search, analyze, and synthesize information from academic papers, technical reports, and web sources to generate comprehensive summaries. It supports filtering by specific topics, dates, or keywords to ensure relevant data is gathered for research tasks.

When to use it

  • Conducting a rapid literature review for a new research project or hypothesis.
  • Summarizing the current state of the art in a specific technical domain before starting development.
  • Identifying gaps in existing knowledge by comparing multiple sources on a single topic.
  • Gathering background information to inform decision-making in complex business scenarios.

Key capabilities

  • Searches across academic databases, news sites, and general web resources.
  • Filters results based on specific criteria such as publication date or relevance keywords.
  • Synthesizes findings from multiple documents into a coherent narrative summary.
  • Extracts key insights and trends directly from the source material.

Example prompts

  • "Perform a literature review on the latest advancements in quantum computing error correction published in the last two years."
  • "Summarize the current research consensus regarding the environmental impact of lithium-ion battery recycling."
  • "Analyze recent technical reports to identify emerging trends in edge AI deployment strategies."

Tips & gotchas

Ensure you provide clear, specific keywords and date ranges to narrow down the vast amount of available information effectively. While the skill synthesizes text, always verify critical data points against original sources if high precision is required for publication or legal purposes.