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Context7

Listed
intellectronica·vlatest·backend·CC0-1.0

Context7 provides persistent session data across API calls, ensuring seamless user experiences and reducing redundant information requests – incredibly useful for complex workflows.

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 intellectronica/agent-skills --skill context7 -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

intellectronica

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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: context7.com.

    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

    context7.comundeclared

    What it found (3 of 8)

    • skills/context7/SKILL.md:19contacts context7.com
      curl -s "https://context7.com/api/v2/libs/search?libraryName=LIBRARY_NAME&query=TOPIC" | jq '.results[0]'
    • skills/context7/SKILL.md:37contacts context7.com
      curl -s "https://context7.com/api/v2/context?libraryId=LIBRARY_ID&query=TOPIC&type=txt"
    • skills/context7/SKILL.md:51contacts context7.com
      curl -s "https://context7.com/api/v2/libs/search?libraryName=react&query=hooks" | jq '.results[0].id'

  • 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 intellectronica/agent-skills at 9b0e00ad1b.

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

Commit
9b0e00ad1b
Manifest
skills/context7/SKILL.md
Scanned
1 file, 76 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 intellectronica-context7 skill enables AI agents to process and maintain contextual awareness during complex backend operations. It enhances an agent's ability to interpret, retain, and apply relevant information across multiple tasks or requests, ensuring consistent behavior and accurate responses in dynamic environments.

When to use it

  • When handling multi-step workflows that require maintaining state between interactions
  • During data processing pipelines where context from previous steps is essential for decision-making
  • In scenarios involving user sessions that span multiple backend operations
  • For AI agents managing long-running tasks with evolving requirements

Key capabilities

  • Contextual memory retention across requests
  • Integration with backend systems for seamless data flow
  • Support for dynamic session management
  • Enhanced accuracy in interpreting sequential or interdependent tasks

Example prompts

  • "Process this request and remember the user's preferences for future interactions."
  • "Handle the current task while maintaining context from the previous API call."
  • "Ensure all backend operations reference the latest session state."

Tips & gotchas

  • Ensure your backend infrastructure supports persistent session tracking to fully leverage contextual memory.
  • Be mindful of data privacy and security when storing or transmitting contextual information between requests.