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Sc Analyze

Checked
tony363·vlatest·data·MIT

Analyzes scientific papers and datasets to extract key findings, trends, and potential research avenues quickly.

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 tony363/superclaude --skill sc-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

tony363

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 tony363/superclaude at 6634f8ef5d.

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

Commit
6634f8ef5d
Manifest
.claude/skills/sc-analyze/SKILL.md
Scanned
1 file, 162 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 tony363-sc-analyze skill provides advanced analysis capabilities within the SuperClaude AI agent. It can extract key information from text, summarize complex documents, and identify patterns or trends in data. This allows for more efficient processing of large amounts of information and deeper insights.

When to use it

  • Summarizing lengthy reports: Quickly condense long research papers or business reports into concise summaries.
  • Analyzing customer feedback: Identify common themes and sentiments from a collection of customer reviews or survey responses.
  • Extracting data from unstructured text: Pull specific details, such as dates, names, or figures, from articles or emails.
  • Trend identification in datasets: Analyze numerical data to spot emerging patterns or anomalies.

Key capabilities

  • Text summarization
  • Data extraction
  • Pattern recognition
  • Sentiment analysis (implied)

Example prompts

  • "Analyze this document and provide a 3-paragraph summary: [paste document text]"
  • "Extract all dates and names from the following article: [paste article text]"
  • "What are the key trends in this dataset? [provide data]"

Tips & gotchas

The effectiveness of the analysis depends heavily on the quality and clarity of the input text or data. Ensure that the provided information is well-structured for optimal results.