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Index At Creation

Checked
parcadei·vlatest·database·MIT

Automatically creates searchable indexes of uploaded documents at creation for faster retrieval and 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 parcadei/continuous-claude-v3 --skill index-at-creation -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

parcadei

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 parcadei/continuous-claude-v3 at d07ff4b06b.

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

Commit
d07ff4b06b
Manifest
.claude/skills/index-at-creation/SKILL.md
Scanned
1 file, 28 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 allows an AI agent to index data at the time of creation. It's designed for scenarios where you need to capture and organize information as soon as it becomes available, rather than processing it later in a batch process. This ensures that new data is immediately accessible and searchable within your agent’s knowledge base.

When to use it

  • Real-time Monitoring: Indexing alerts or notifications from monitoring systems as they occur.
  • Live Data Feeds: Automatically indexing entries from live news feeds or social media streams.
  • Automated Logging: Capturing and indexing log data generated by applications in real time for troubleshooting and analysis.
  • Content Management: Indexing newly uploaded documents or articles to a content repository as they are created.

Key capabilities

  • Indexing at creation
  • Real-time data capture
  • Immediate availability of indexed data

Example prompts

  • "Index this email: [email body]"
  • "Create an index entry for the following article: [article text]"
  • "As you receive new log entries, please index them."

Tips & gotchas

The skill requires access to a system that generates data and can provide it to the AI agent in real-time. Ensure your data source is reliable and formatted appropriately for indexing.