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Speechanalyzer Framework Expert

Checked
fal3·vlatest·other·MIT

This skill analyzes speech for detailed acoustic features and linguistic patterns, aiding in research, accessibility, and voice-based application development.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it SpeechAnalyzer Framework Expert, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add fal3/claude-skills-collection --skill "SpeechAnalyzer Framework Expert" -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

fal3

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 fal3/claude-skills-collection at 7201e746f4.

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

Commit
7201e746f4
Manifest
skills/swift-SpeechAnalyzer-Framework-Expert/SKILL.md
Scanned
10 files, 812 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 provides expert-level capabilities for analyzing speech using the SpeechAnalyzer framework. It can identify sentiment, detect keywords and topics, and provide detailed linguistic analysis of spoken content. The tool is designed to extract actionable insights from audio data by leveraging advanced natural language processing techniques.

When to use it

  • Market Research: Analyze customer feedback from recorded calls or focus groups to understand product perception and areas for improvement.
  • Meeting Summarization: Automatically summarize key discussion points, action items, and sentiment expressed during meetings.
  • Content Analysis: Evaluate the tone and effectiveness of presentations or speeches by identifying emotional cues and linguistic patterns.
  • Accessibility Enhancement: Transcribe audio content and analyze it for readability and clarity to improve accessibility for diverse audiences.

Key capabilities

  • Sentiment analysis
  • Keyword extraction
  • Topic detection
  • Linguistic analysis

Example prompts

  • "Analyze this audio recording and tell me the overall sentiment expressed."
  • "What are the key topics discussed in this meeting transcript?"
  • "Identify any negative keywords or phrases used in this customer service call."

Tips & gotchas

The skill relies on accurate transcription for optimal results. Ensure high-quality audio input to minimize errors and improve analysis accuracy.