evaluate
From the author
Evaluate an AI workflow against representative cases and its permitted actions. Use for model, retrieval or agent evaluation; tests do not grant release authority.
Install
npx skills add suboss87/FDEOps --skill evaluate -a claude-code
Installs to .claude/skills/evaluate/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
- Contains hidden text (invisible characters, long comments or encoded blobs)Medium
Why 79
Security80
Provenance76
Maintenance100
Licence100
Adoption48
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- agentic-evalgithub/awesome-copilotPatterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response qualityTesting★ 40.3K
- runtime-admissibility-reviewlawve-ai/awesome-legal-skillsDetermines whether a specific AI-agent action, output, recommendation, or proposed commitment remains admissible for execution or institutional reliance under current authority, delegated scope, evidence, facts, policy, risk, escalation, and revocation conditions. Use this Skill before an enterprise or regulated AI agent executes, updates records, triggers workflows, communicates externally, or before an institution relies on an agentic output in a way that creates consequence.Engineering★ 888
- agent-harnessborghei/Claude-SkillsTest and evaluation harness for AI agents — scenario suites, deterministic replay, regression diffing, cost and latency budgets. Use when agent quality is vibe-checked, before shipping a prompt or model change, or when evals drift.Testing★ 962
- agent-self-evalcoco-research/cocoPost-run self-evaluation system that scores agent output on correctness, clarity, actionability, and conciseness. Use after /team runs, skill executions, or when explicitly asked to evaluate output quality.Other★ 911
- workflow-to-skilllawve-ai/awesome-legal-skillsConverts a proven, repeated professional workflow into a portable and inspectable AI Skill with clear triggers, inputs, steps, outputs, verification, recovery, and limits. Use when a user asks to make a workflow reusable, package a process as a Skill, or preserve a successful multi-step method. Do not use for speculative processes that have not been performed or concretely specified.Productivity★ 888
- evaluating-machine-learning-modelsforyourhealth111-pixel/Vibe-SkillsEvaluate trained machine learning models with the right metrics and comparison logic. Use for benchmark review, threshold selection, calibration, validation, and model comparison; not for feature engineering or leakage auditing.Engineering★ 3.8K
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in