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Content Analysis

Listed
liangdabiao·vlatest·marketing

Analyzes text content to identify sentiment, topics, keywords, and potential biases 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 liangdabiao/claude-data-analysis-ultra-main --skill content-analysis -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

liangdabiao

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: dashscope.aliyuncs.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.openai.commodel providerdashscope.aliyuncs.comundeclared

    What it found

    • .claude/skills/content-analysis/examples/llm_analyzer.py:52contacts dashscope.aliyuncs.com
      self.api_base = 'https://dashscope.aliyuncs.com/api/v1'

  • 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 liangdabiao/claude-data-analysis-ultra-main at 6b52856848.

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

Commit
6b52856848
Manifest
.claude/skills/content-analysis/SKILL.md
Scanned
12 files, 4,664 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 Content Analysis skill analyzes text to extract key information and insights. It can identify sentiment, categorize topics, and summarize large amounts of textual data. This allows for efficient understanding and processing of documents, articles, or other written content.

When to use it

  • Market Research: Analyze customer reviews to understand product strengths and weaknesses.
  • News Monitoring: Categorize news articles by topic and identify emerging trends.
  • Document Summarization: Quickly extract the key points from lengthy reports or legal documents.
  • Social Media Analysis: Gauge public sentiment towards a brand or campaign based on social media posts.

Key capabilities

  • Sentiment analysis
  • Topic categorization
  • Text summarization

Example prompts

  • "Analyze this customer review and tell me the overall sentiment: 'The product was great, but the shipping took too long.'"
  • "Categorize these news articles into topics like politics, sports, or business."
  • "Summarize this 10-page report in three paragraphs."

Tips & gotchas

The quality of analysis depends heavily on the clarity and structure of the input text. Very short or ambiguous texts may yield less accurate results.