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Evaluation Criteria

Checked
masanao-ohba·vlatest·other

This skill generates tailored evaluation criteria for projects or tasks, ensuring objective assessments and improved outcomes.

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 masanao-ohba/claude-manifests --skill evaluation-criteria -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

masanao-ohba

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 masanao-ohba/claude-manifests at 3e765ad5ee.

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

Commit
3e765ad5ee
Manifest
skills/generic/evaluation-criteria/SKILL.md
Scanned
1 file, 237 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 provides evaluation criteria for assessing the performance of AI agents. It allows users to define specific metrics and thresholds, enabling a structured approach to evaluating agent behavior and outputs. The skill can be used to determine if an agent meets predefined standards or identify areas needing improvement.

When to use it

  • Performance Review: Evaluate an agent's response quality against established benchmarks for customer service chatbots.
  • A/B Testing: Compare the effectiveness of two different AI agents by applying consistent evaluation criteria.
  • Task Completion Assessment: Determine if an agent successfully completed a complex task, such as summarizing a document or generating code.
  • Bias Detection: Assess whether an agent's responses exhibit unintended biases across demographic groups.

Key capabilities

  • Defines custom evaluation metrics.
  • Sets thresholds for acceptable performance.
  • Provides structured assessment of AI agent outputs.
  • Facilitates comparison between different agents or versions.

Example prompts

  • "Evaluate the following response: [agent output] using criteria for helpfulness and accuracy."
  • "Assess this code generation result: [code] against these requirements: [requirements]."
  • "Compare agent A's summary of this article to agent B’s, based on completeness and conciseness.”

Tips & gotchas

The effectiveness of this skill depends on clearly defined evaluation criteria. Vague or subjective metrics will lead to inconsistent results; ensure your criteria are specific and measurable for optimal performance.