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Editor Interrogation

Checked
marius-townhouse·vlatest·writing

This skill extracts specific data from text editors (like Markdown) quickly and efficiently for analysis or automation – a powerful time-saver.

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 marius-townhouse/effective-typescript-skills --skill editor-interrogation -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

marius-townhouse

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 marius-townhouse/effective-typescript-skills at d754db2077.

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

Commit
d754db2077
Manifest
skills/editor-interrogation/SKILL.md
Scanned
1 file, 197 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

The editor-interrogation skill allows an AI agent to critically examine and improve text generated by editors or other writing tools. It can identify inconsistencies, logical flaws, and areas for stylistic enhancement within existing drafts. The skill aims to refine the output of automated writing processes, ensuring higher quality and accuracy.

When to use it

  • Reviewing articles drafted by AI writing assistants: To catch errors and improve clarity before publication.
  • Analyzing marketing copy generated by a content creation tool: To ensure messaging aligns with brand guidelines and resonates effectively.
  • Improving the quality of code documentation automatically generated from source code: To make the documentation more understandable and useful for developers.
  • Refining creative writing pieces produced by generative AI models: To polish narratives, improve character development, and enhance overall storytelling.

Key capabilities

  • Critical text analysis
  • Logical flaw detection
  • Stylistic refinement
  • Inconsistency identification

Example prompts

  • "Analyze this article draft for logical inconsistencies and suggest improvements: [paste article text]"
  • "Critically evaluate this marketing copy and identify areas where the messaging could be strengthened: [paste copy text]"
  • "Review this code documentation for clarity and completeness: [paste documentation text]"

Tips & gotchas

The skill's effectiveness depends on the quality of the initial draft. It’s best used to refine already-generated content, rather than creating it from scratch.