evaluate

SkillAI & models

Lets your agent test an AI workflow against example cases and check how well it performs.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the evaluate skill

About this capability

Evaluate an AI workflow against representative cases and its permitted actions. Use for model, retrieval or agent evaluation; tests do not grant release authority.

What this skill tells your AI

The instructions your AI receives, as published by suboss87/fdeops in skills/evaluate/SKILL.md and read by ahel’s review.

Purpose

Evaluate an AI workflow against representative cases and its permitted actions. Use for model, retrieval or agent evaluation; tests do not grant release authority.

Before investigating or acting:

  1. Read the task context contract.
  2. Read the method.

Load further references only when the task needs them. Everything linked is included in this skill; no other skill pack is required.

Principles

  • Work directly from the supplied permitted context. Standalone work does not require an engagement folder or initialization. Record filenames in the method are optional persistence destinations when no engagement is bound.
  • If called by @fde, reuse its current sanitized packet and scope. Do not restart setup, discovery or questions already answered.
  • The task context contract controls persistence and authority in both modes. Preserve unknowns and distinguish implementation, verification, deployment and acceptance.
  • Use the customer's repository instructions and available tools. Report a missing capability or unrun check honestly; do not claim that installing a skill provisions infrastructure.

Signals

GitHub stars
767
Forks
118
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
evaluate-suboss87
Source
github.com/suboss87/fdeops