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Digital Archive

Checked
jamditis·vlatest·other·MIT

This skill creates a searchable digital archive of your conversations for later reference and analysis – incredibly useful for tracking ideas & decisions.

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 jamditis/claude-skills-journalism --skill digital-archive -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

jamditis

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 jamditis/claude-skills-journalism at 8a047d85f3.

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

Commit
8a047d85f3
Manifest
research-toolkit/skills/digital-archive/SKILL.md
Scanned
2 files, 728 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 creates a searchable digital archive of your conversations, documents, and online content for later reference and analysis. It integrates data from various sources like OCR pipelines (newspapers), web scraping (articles), and social media transcripts. The collected information is structured using a unified schema with over 35 fields and enriched by AI to extract key concepts, entities, and summaries, ultimately storing the data in Google Sheets for easy access and exportable as JSON or CSV files.

When to use it

  • Track project decisions: Capture meeting notes, research findings, and action items from various sources into a centralized archive.
  • Analyze media coverage: Compile articles, social media posts, and transcripts related to specific topics for comprehensive understanding.
  • Preserve historical records: Build an archive of news articles, online content, or other digital materials for long-term preservation and research.
  • Knowledge Management: Organize information from diverse sources into a structured format with AI-powered tagging and categorization.

Key capabilities

  • Multi-source integration: Combines data from OCR pipelines, web scraping, and social media platforms.
  • Unified schema: Structures archived content using a consistent 35+ field schema.
  • AI enrichment: Uses Gemini to generate summaries, extract pull quotes, identify key concepts, and categorize content.
  • Entity extraction: Identifies and extracts entities mentioned within the archived content.
  • PDF archiving: Supports creating PDF archives based on WCAG 2.1 guidelines.
  • Data storage in Google Sheets: Stores archive records in a Google Sheet database.
  • Exportable data: Allows exporting data as JSON or CSV files.

Example prompts

  • "Create an archive record for this article about journalism ethics."
  • "Add this social media post to the digital archive, categorizing it under 'Audience & Public Engagement'."
  • “Extract key concepts from this newspaper article and add them to the archive record.”

Tips & gotchas

  • Each archived item is assigned a unique ID in the format SOURCE-00001.
  • The skill utilizes AI enrichment, which may occasionally produce inaccurate or incomplete results. Review enriched data carefully.
  • Content types are limited to: Article, Video, Audio, Social Post, and Newspaper Article.