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Smile_Expression_Detector

Checked
davidcastagnetoa·vlatest·frontend

Detects smiles in images/videos to analyze sentiment and understand user emotion – valuable for feedback & engagement analysis.

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 davidcastagnetoa/skills --skill smile_expression_detector -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

davidcastagnetoa

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 davidcastagnetoa/skills at bd906f22af.

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

Commit
bd906f22af
Manifest
skills/smile_expression_detector/SKILL.md
Scanned
1 file, 31 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 smile_expression_detector skill analyzes images to detect the presence of smiles. It identifies whether a smile is present in an image and can be used for sentiment analysis or understanding facial expressions. This allows AI agents to respond appropriately based on perceived emotion.

When to use it

  • Customer service bots: Determine customer satisfaction by analyzing their facial expressions during video calls.
  • Content moderation: Flag images containing smiles for further review, potentially identifying inappropriate content.
  • Interactive games: Trigger in-game events or character responses based on player's detected smile.
  • Social media analysis: Gauge audience engagement and sentiment around posts featuring faces.

Key capabilities

  • Smile detection
  • Image analysis
  • Facial expression recognition (limited to smiles)

Example prompts

  • "Analyze this image and tell me if the person is smiling."
  • "Is there a smile in this picture? Return 'yes' or 'no'."
  • “Detect any smiles in this batch of images.”

Tips & gotchas

The skill’s accuracy depends on image quality and lighting conditions. Complex facial expressions beyond simple smiles may not be accurately detected.