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Photo Restoration

Listed
eachlabs·vlatest·video-media

This skill restores old or damaged photos using AI, bringing back cherished memories and improving image quality effortlessly.

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 eachlabs/skills --skill photo-restoration -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

eachlabs

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: eachsense-agent.core.eachlabs.run.

    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

    eachsense-agent.core.eachlabs.runundeclared

    What it found (3 of 17)

    • skills/photo-restoration/SKILL.md:27contacts eachsense-agent.core.eachlabs.run
      curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
    • skills/photo-restoration/SKILL.md:47contacts eachsense-agent.core.eachlabs.run
      curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
    • skills/photo-restoration/SKILL.md:65contacts eachsense-agent.core.eachlabs.run
      curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \

  • 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 eachlabs/skills at a881258627.

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

Commit
a881258627
Manifest
skills/photo-restoration/SKILL.md
Scanned
2 files, 765 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 restores old, damaged, or low-resolution photos to a higher quality. It leverages AI algorithms to remove scratches, reduce noise, and enhance details in images that have suffered from age or poor original conditions. The restored image aims to be visually clearer and more detailed than the original source material.

When to use it

  • Reviving family photographs for preservation and sharing with relatives.
  • Improving the quality of historical documents or photos for research purposes.
  • Restoring images used in online marketplaces or personal projects where higher resolution is needed.
  • Enhancing old product photos for e-commerce listings.

Key capabilities

  • Scratch removal
  • Noise reduction
  • Detail enhancement
  • Image upscaling

Example prompts

  • "Restore this blurry photo of my grandmother."
  • "Can you repair the damage on this scanned document?"
  • “Please upscale and clean up this old family portrait.”

Tips & gotchas

The quality of the restored image depends heavily on the initial condition of the original photograph. Severely damaged photos may not yield perfect results, but will still likely show improvement.