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Llm Context

Official
brave·vlatest·ai-ml·MIT

Provides LLMs guidance and assistance for building AI and machine learning applications.

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 brave/brave-search-skills --skill llm-context -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

brave

Matched to the vendor's own GitHub organisation.

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: api.search.brave.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

    api.search.brave.comundeclared

    What it found (3 of 5)

    • skills/llm-context/SKILL.md:42contacts api.search.brave.com
      curl -s "https://api.search.brave.com/res/v1/llm/context?q=tallest+mountains+in+the+world" \
    • skills/llm-context/SKILL.md:49contacts api.search.brave.com
      curl -s --compressed -X POST "https://api.search.brave.com/res/v1/llm/context" \
    • skills/llm-context/SKILL.md:59contacts api.search.brave.com
      curl -s "https://api.search.brave.com/res/v1/llm/context" \

  • 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 brave/brave-search-skills at 62793e0c49.

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

Commit
62793e0c49
Manifest
skills/llm-context/SKILL.md
Scanned
1 file, 285 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

This skill allows AI agents to access and utilize external context, such as web pages or documents, to inform their responses. It enables agents to ground their answers in up-to-date information beyond their internal knowledge base. The agent can retrieve relevant content based on a user's query and incorporate that information into its generated text.

When to use it

  • Answering questions about current events: When a user asks about the latest news or developments, this skill retrieves recent articles for context.
  • Summarizing long documents: The agent can process lengthy reports or research papers by fetching and summarizing key sections.
  • Providing information from specific websites: Users can request information directly from a particular website, like product details from an e-commerce site.
  • Researching topics requiring external data: If a user needs to understand a complex topic that requires up-to-date statistics or facts, this skill provides the necessary context.

Key capabilities

  • Context retrieval based on query
  • Integration of retrieved content into responses
  • Support for various document types (web pages, PDFs)
  • Ability to summarize fetched content

Example prompts

  • "Summarize the main points of this article: [URL]"
  • "What are the latest reviews for the 'XYZ' product?"
  • "Find information about climate change from reputable sources."

Tips & gotchas

  • The quality of the results depends heavily on the relevance and accuracy of the retrieved context. Ensure URLs provided are valid and trustworthy.