Skip to content
TrustedSkillsbeta
Back to all skills

Eval Guidance Actionability

Checked
whitespectre·vlatest·ai-ml

This skill assesses how actionable a given guidance response is, ensuring outputs are practical and directly useful for users.

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 whitespectre/ai-assistant-evals --skill eval-guidance-actionability -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

whitespectre

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 whitespectre/ai-assistant-evals at 8d48470982.

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

Commit
8d48470982
Manifest
skills/eval-guidance-actionability/SKILL.md
Scanned
2 files, 62 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 evaluates the guidance provided to an AI agent and assesses its actionability. It determines if the instructions are clear, specific, and lead to a desired outcome. The evaluation focuses on whether the AI can reliably execute the given guidance and produce expected results.

When to use it

  • Debugging Agent Behavior: Understand why an agent isn't performing as expected by analyzing the clarity of initial instructions.
  • Improving Prompt Engineering: Refine prompts to ensure they are actionable and elicit desired responses from AI agents.
  • Evaluating New Guidance Strategies: Test new approaches for guiding AI agents before deploying them in production environments.
  • Standardizing Agent Instructions: Ensure consistency and predictability across different agent interactions by evaluating guidance quality.

Key capabilities

  • Evaluates the clarity of instructions.
  • Assesses actionability of guidance.
  • Identifies potential issues hindering execution.
  • Provides feedback for prompt refinement.

Example prompts

  • "Evaluate the following guidance: 'Write a short story about a cat.'"
  • "Assess the actionability of this instruction: 'Summarize the article and extract key entities.'"
  • "How clear and actionable is this prompt for an AI agent? 'Create a marketing campaign.'"

Tips & gotchas

The skill's effectiveness depends on providing well-defined guidance to be evaluated. It’s best used in conjunction with other skills focused on generating or refining prompts.