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Data Journalism

Checked
jamditis·vlatest·data·MIT

Analyzes large datasets to uncover trends, generate narratives, and create data visualizations suitable for journalistic reporting.

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 data-journalism -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
journalism-core/skills/data-journalism/SKILL.md
Scanned
9 files, 1,175 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

The data-journalism skill empowers AI agents to investigate, analyze, and report on news stories using rigorous journalistic standards. It automates the process of gathering facts, verifying sources, and structuring narratives for public dissemination.

When to use it

  • Investigating complex local or global events by synthesizing disparate data points into a coherent story.
  • Verifying claims made in press releases or social media posts against primary source documents.
  • Generating draft reports that adhere to ethical guidelines and fact-checking protocols.
  • Analyzing trends in public records, financial filings, or election results for investigative pieces.

Key capabilities

  • Automated fact-checking and source verification workflows.
  • Structured narrative generation tailored for news articles and briefs.
  • Ethical compliance checks regarding privacy and bias.
  • Data synthesis from multiple unstructured sources into a single report.

Example prompts

  • "Investigate the recent water quality reports in City X by cross-referencing government filings with local lab results."
  • "Draft an investigative article on corporate lobbying activities, ensuring all claims are backed by cited primary sources."
  • "Analyze the provided dataset of election polling data and write a neutral summary highlighting key trends and discrepancies."

Tips & gotchas

Ensure you provide access to reliable, up-to-date source materials, as the skill relies on accurate input data to maintain journalistic integrity. Always review AI-generated drafts for factual accuracy before publication, as hallucinations can undermine credibility.