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Deep Research

Listed
199-biotechnologies·vlatest·other

This skill performs in-depth research on any topic, quickly synthesizing information and providing comprehensive insights for informed decisions.

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 199-biotechnologies/claude-deep-research-skill --skill deep-research -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

199-biotechnologies

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 8 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: a.com, arxiv.org, b.com, c.com, 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

    www.nature.comundeclaredsomeblog.wordpress.comundeclareddocs.python.orgdocumentationdoi.orgundeclaredarxiv.orgundeclareda.comundeclaredb.comundeclaredc.comundeclareddx.doi.orgundeclared

    What it found (3 of 12)

    • scripts/source_evaluator.py:270contacts www.nature.com
      'url': 'https://www.nature.com/articles/s41586-2025-12345',
    • scripts/source_evaluator.py:275contacts someblog.wordpress.com
      'url': 'https://someblog.wordpress.com/shocking-discovery',
    • scripts/verify_citations.py:125contacts doi.org
      url = f"https://doi.org/{quote(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 199-biotechnologies/claude-deep-research-skill at f2f2c0fa4e.

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

Commit
f2f2c0fa4e
Manifest
SKILL.md
Scanned
29 files, 6,386 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

What it does

The deep-research skill enables AI agents to perform in-depth investigations on complex topics, gather detailed information from multiple sources, and synthesize findings into coherent insights. It is particularly useful for uncovering nuanced details that may not be immediately apparent through surface-level research.

When to use it

  • To explore scientific or technical subjects requiring thorough analysis.
  • When preparing comprehensive reports or white papers on specialized topics.
  • For investigative tasks where accuracy and depth of information are critical.
  • When researching emerging trends in biotechnology or related fields.

Key capabilities

  • Multi-source data aggregation
  • In-depth topic exploration
  • Synthesis of complex information
  • Identification of nuanced insights

Example prompts

  • "Investigate the latest advancements in CRISPR gene editing and their ethical implications."
  • "Analyze recent studies on synthetic biology applications in medicine."
  • "Summarize the key findings from peer-reviewed research on AI in drug discovery."

Tips & gotchas

  • Ensure access to reliable, up-to-date sources for accurate results.
  • Be mindful of potential biases in aggregated data and cross-check findings where possible.