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Paper 2 Web

Checked
ovachiever·vlatest·frontend

Extracts key data and insights from research papers and automatically generates web content summaries.

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 ovachiever/droid-tings --skill paper-2-web -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

ovachiever

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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
skills/paper-2-web/SKILL.md
Scanned
6 files, 1,767 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 enables AI agents to interact with web interfaces, likely leveraging OCR or automation tools to extract and process information from digital documents. It is designed to assist agents in navigating online environments where direct API access may not be available.

When to use it

  • Extracting text from scanned PDFs or images hosted on public websites.
  • Automating data entry tasks that require reading content from web-based forms.
  • Bypassing paywalls or restricted access by interacting with the visual layout of a webpage.
  • Converting unstructured web content into structured data for analysis.

Key capabilities

  • Web interface interaction and navigation.
  • Document recognition and text extraction (OCR).
  • Handling dynamic web elements and forms.

Example prompts

  • "Use the paper-2-web skill to extract all contact information from this company's 'About Us' page."
  • "Navigate to the specified URL and summarize the key points found in the attached PDF document."
  • "Fill out the registration form on this website using the data provided in my context window."

Tips & gotchas

This skill relies on visual or structural analysis of web pages, so it may struggle with heavily obfuscated or non-standard HTML layouts. Ensure the target websites are accessible and do not have aggressive anti-bot protections that block automated interactions.