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Expect Actual

Checked
ahmed3elshaer·vlatest·other·MIT

This skill refines prompts by predicting and incorporating likely user responses, boosting conversation flow & accuracy for more natural interactions.

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 ahmed3elshaer/everything-claude-code-mobile --skill expect-actual -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

ahmed3elshaer

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 ahmed3elshaer/everything-claude-code-mobile at d94b24037d.

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

Commit
d94b24037d
Manifest
skills/expect-actual/SKILL.md
Scanned
2 files, 790 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

This skill allows you to verify the actual output of an AI agent against expected results. It helps in testing and debugging AI agents, ensuring they produce consistent and correct responses based on given prompts or instructions. The skill facilitates automated validation by comparing generated content with predefined expectations.

When to use it

  • Automated Testing: Validate that a chatbot consistently provides the correct answer when asked about specific topics.
  • Debugging Agent Behavior: Identify why an AI agent is generating unexpected or incorrect responses.
  • Ensuring Code Generation Accuracy: Confirm that code generated by an AI assistant compiles and produces the desired output.
  • Content Validation: Verify that a content creation AI consistently adheres to style guides or specific formatting requirements.

Key capabilities

  • Automated validation of AI agent outputs
  • Comparison of actual vs expected results
  • Debugging assistance for AI agents
  • Testing functionality

Example prompts

  • "Verify the following response: [AI Agent Response] against the expectation: [Expected Result]"
  • "Test this prompt: 'Summarize this article.' and check if the output matches: [Expected Summary]"
  • "Compare the generated code with this expected code snippet."

Tips & gotchas

The accuracy of this skill depends on providing clear and precise "expected results". Ambiguous or poorly defined expectations can lead to false positives or negatives during validation.