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Context7 Auto Research

Checked
davila7·vlatest·backend·MIT

Context7 Auto Research automatically gathers relevant information based on your prompts, saving you time and ensuring accurate insights for deeper analysis.

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 davila7/claude-code-templates --skill context7-auto-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

davila7

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 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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/context7-auto-research/SKILL.md
Scanned
1 file, 35 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 context7-auto-research skill automates the process of gathering and organizing research data from multiple sources. It is designed to streamline information retrieval, filter relevant content, and structure findings into a coherent format for further analysis or reporting.

When to use it

  • When preparing reports that require compiling data from various online sources.
  • During market research to quickly gather competitive intelligence.
  • For academic projects needing extensive literature review with minimal manual effort.
  • To support decision-making by aggregating real-time data and insights.

Key capabilities

  • Automated web scraping of relevant content
  • Filtering and prioritizing information based on relevance
  • Structuring findings into organized summaries or reports
  • Integration with multiple data sources for comprehensive research

Example prompts

  • "Gather recent news articles about AI advancements in healthcare."
  • "Compile statistics on global renewable energy adoption from the last five years."
  • "Create a summary of key trends in remote work based on industry reports and surveys."

Tips & gotchas

  • Ensure that the sources you're scraping are permitted for automated access to avoid legal issues.
  • Be mindful of data volume limits, as very large queries may require pagination or filtering to manage results effectively.