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Claudability Analyzer

Checked
aviz85·vlatest·ai-ml

The Claudability Analyzer assesses text for clarity and readability, helping you refine writing for better comprehension and impact.

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 aviz85/claude-skills-library --skill claudability-analyzer -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

aviz85

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 aviz85/claude-skills-library at 90bbc16773.

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

Commit
90bbc16773
Manifest
skills/claudability-analyzer/SKILL.md
Scanned
8 files, 1,670 lines
Copies in repo
2 — all of them scanned
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 Claudability Analyzer skill assesses the potential for a given prompt to trigger Claude's safety and moderation systems. It provides insights into why a prompt might be flagged, helping users understand and adjust their prompts to avoid unintended consequences. This allows for more reliable and predictable interactions with Claude AI models.

When to use it

  • Testing sensitive topics: Before deploying an agent that will handle potentially controversial or risky subjects, analyze its prompts.
  • Debugging unexpected behavior: If your Claude-powered application is experiencing inconsistent responses or errors, this skill can help identify problematic prompt elements.
  • Improving prompt efficiency: Understand which parts of a prompt are contributing to safety checks and optimize for faster processing.
  • Training AI agents: Use the analyzer to educate developers on crafting prompts that respect Claude's content policies.

Key capabilities

  • Analyzes prompts for potential safety violations.
  • Provides explanations for why a prompt might be flagged.
  • Helps users understand and adjust their prompts.

Example prompts

  • "Analyze this prompt: 'Write a story about [sensitive topic]'."
  • "Why is the following prompt likely to trigger Claude's safety filters? [prompt text]"
  • “Can you tell me which parts of this prompt might cause issues with Claude’s moderation system? [prompt text]”

Tips & gotchas

The accuracy of the analysis depends on the complexity and nuance of the prompt. Consider breaking down long or complex prompts into smaller segments for more detailed insights.