Screenshot Analyzer
CheckedThis tool analyzes screenshots for visual elements like text, logos, and colors, boosting accessibility and content understanding.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add notedit/happy-skills --skill screenshot-analyzer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
notedit
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.
Automated safety checks
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 notedit/happy-skills at 9a2d593b62.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 9a2d593b62
- Scanned
- 2 files, 208 lines
About this skill
What it does
This skill enables AI agents to visually inspect screenshots of applications, websites, or documents to understand their current state and context. It allows the agent to identify UI elements, read text within images, and determine actionable next steps based on visual data rather than relying solely on code or logs.
When to use it
- Debugging issues in a graphical user interface where error messages are displayed visually but not accessible via standard API calls.
- Verifying that a web form has been populated correctly before submitting an automated action.
- Analyzing complex dashboards or reports to extract specific metrics or status indicators shown in charts and tables.
Key capabilities
- Visual interpretation of static image data provided as screenshots.
- Identification of interactive elements and their labels within the captured frame.
- Contextual understanding of application layouts to guide subsequent agent actions.
Example prompts
- "Analyze this screenshot of my dashboard and tell me why the 'Export' button is grayed out."
- "Look at this image of the error log window and summarize the specific exception message displayed."
- "Check this screenshot of the login page to identify all available authentication methods listed on the card."
Tips & gotchas
Ensure the screenshot provided is high-resolution and clearly focused on the relevant area, as low-quality images may lead to misinterpretation of text or UI elements. This skill relies entirely on visual input; it cannot access live data streams or backend states not visible in the image.