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Analyze

Checked
terrylica·vlatest·writing·MIT

Analyzes text data to identify sentiment, topics, and key entities with high accuracy using advanced natural language processing.

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 terrylica/cc-skills --skill analyze -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

terrylica

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 terrylica/cc-skills at 3a1dc29965.

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

Commit
3a1dc29965
Manifest
plugins/asciinema-tools/skills/analyze/SKILL.md
Scanned
2 files, 107 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 teryllica-analyze skill provides AI agents with the ability to process and understand textual data. It can extract key information, summarize documents, and identify patterns within text inputs. This allows for more informed decision-making and improved task completion based on textual content.

When to use it

  • Summarizing research papers: Quickly grasp the core findings of lengthy academic articles.
  • Analyzing customer feedback: Identify common themes and sentiment in reviews or survey responses.
  • Extracting data from reports: Pull specific figures, dates, or names from unstructured documents.
  • Understanding legal contracts: Identify key clauses and obligations within complex agreements.

Key capabilities

  • Text summarization
  • Information extraction
  • Pattern identification
  • Data processing

Example prompts

  • "Summarize this article about climate change: [article text]"
  • "Extract all the dates mentioned in this contract."
  • "What are the main themes discussed in these customer reviews?"

Tips & gotchas

The skill’s effectiveness depends on the clarity and structure of the input text. Very long or poorly formatted documents may require pre-processing for optimal results.