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Hook Stack Evaluator

Checked
nicepkg·vlatest·other·MIT

This skill analyzes code hooks and stack interactions to identify potential vulnerabilities or unexpected behavior for security assessment.

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 nicepkg/ai-workflow --skill hook-stack-evaluator --full-depth -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

nicepkg

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 nicepkg/ai-workflow at d167b41af7.

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

Commit
d167b41af7
Manifest
workflows/content-creator-workflow/.claude/skills/hook-stack-evaluator/SKILL.md
Scanned
3 files, 429 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 Hook Stack Evaluator analyzes content hooks (headlines, opening lines, video intros, carousel openers) using The Hook Stack™ framework. It provides scoring and actionable refinement suggestions to improve hook effectiveness. The skill operates in either automatic or interactive modes, adapting its approach based on the user's intent and context.

When to use it

  • To evaluate a headline or subhead for a newsletter.
  • When seeking feedback on an opening line for content.
  • To refine video introductions or carousel openers.
  • In automated workflows where hooks need consistent evaluation and improvement.
  • When needing assistance in crafting more compelling hooks through collaborative refinement.

Key capabilities

  • Evaluates hooks against a 5-layer framework (The Hook Stack™).
  • Provides scoring and actionable refinement suggestions.
  • Operates in Automatic mode for automated workflows, generating improved alternatives if the score is below a threshold.
  • Offers Interactive mode for collaborative refinement with user feedback ("Keep / Tweak / Trash?").
  • Adapts to context signals to determine operational mode (Automatic or Interactive).

Example prompts

  • "Evaluate this headline: 'The Future of AI'"
  • "Run this opening line through the hook stack: 'In today's world...'"
  • "Score my video intro."
  • "Help me sharpen this hook for a LinkedIn post about marketing trends."

Tips & gotchas

  • The skill adopts a direct and no-fluff communication style.
  • Automatic mode skips audience/platform questions, relying on context or defaults.
  • If the intent is unclear, the skill will default to Interactive Mode.