Skip to content
Back to skills

Evaluate

ASecurity

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

  • 950 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added September 20, 2026
ai-agents

Security analysis

A100/100

Pro scans all 12 files and shows the line behind each finding

Scanned October 6, 2026

npx -y skills add suboss87/FDEOps --skill evaluate --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Evaluate?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Evaluate
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/suboss87-evaluate/badge)](https://www.skillsdirectory.com/skills/suboss87-evaluate)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: evaluate
description: Evaluate an AI workflow against representative cases and its permitted actions. Use for model, retrieval or agent evaluation; tests do not grant release authority.
---

# evaluate

<!-- Generated by bin/generate-skills.js; edit the canonical references and catalog. -->

## Purpose

Evaluation results, failure analysis and release evidence.

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.

Files in this skill

  • .fde-generated.json1.1 KB
  • SKILL.md1.4 KB
  • agents/openai.yaml202 B
  • references/build.md3.9 KB
  • references/debug.md2.9 KB
  • references/eval-pack.md3.9 KB
  • references/integrate.md4.7 KB
  • references/qa.md2.6 KB
  • references/review.md4.5 KB
  • references/ship.md10.2 KB
  • references/task-context.md5.4 KB
  • references/verification.md5.5 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…