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Context Analyzer

Checked
caomeiyouren·vlatest·other·MIT

The Context Analyzer identifies and extracts key information from text to improve AI understanding and response accuracy.

Install on your platform

This skill no longer installs under the name context-analyzer. SKILL.md is marked internal, so the skills CLI hides it.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

caomeiyouren

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 caomeiyouren/momei at 02346816ce.

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

Scanned
1 file, 44 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 caomeiyouren-context-analyzer skill analyzes provided text to extract key information and relationships. It can identify entities, categorize them, and summarize their connections within the given context. This allows AI agents to better understand complex documents or conversations and respond more appropriately.

When to use it

  • Summarizing legal contracts: Quickly grasp the main clauses and parties involved in a lengthy agreement.
  • Analyzing customer feedback: Identify recurring themes, sentiment, and key issues from survey responses or reviews.
  • Understanding research papers: Extract core findings, methodologies, and related work from scientific publications.
  • Processing meeting transcripts: Identify action items, decisions made, and attendees responsible for follow-up tasks.

Key capabilities

  • Entity Recognition: Identifies people, organizations, locations, dates, etc. within text.
  • Categorization: Classifies entities into predefined categories (e.g., "employee," "customer," "product").
  • Relationship Extraction: Determines relationships between identified entities.
  • Contextual Summarization: Provides concise summaries highlighting the most important aspects of the input text.

Example prompts

  • "Analyze this email and tell me who is responsible for what action items."
  • "Extract all companies mentioned in this news article and categorize them by industry."
  • "Summarize the key findings from this research paper, focusing on the methodology used."

Tips & gotchas

The accuracy of entity recognition and relationship extraction depends heavily on the clarity and structure of the input text. Complex or ambiguous language may require more detailed instructions for optimal results.