evaluate

Featured

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

AI & Automation 948 stars 104 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 90/100

Stars 20%
99
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
64
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# evaluate <!-- Generated by bin/generate-skills.js; edit the canonical references and catalog. --> ## 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](references/task-context.md). 2. Read [the method](references/eval-pack.md). 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.

Details

Author
suboss87
Repository
suboss87/FDEOps
Created
3 months ago
Last Updated
yesterday
Language
JavaScript
License
MIT

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category