ai-evaluation SKILL.md skillA

ai-evaluation from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jnpiyush/agentx/ai-evaluation@v1.1.0

Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jnpiyush/agentx
Path
.github/skills/ai-systems/ai-evaluation/SKILL.md
Versions recorded
4
Latest version
v1.1.0, committed Sep 5, 2026
First version recorded
Mar 1, 2026
Size
5,115 bytes
Repository stars
18
License
Apache-2.0

Use when evaluating AI quality, safety, completeness and cost with held-out tasks, executable graders, calibrated judges and explicit release criteria.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# AI Evaluation

## When to Use

Use before changing model/prompt/tool behavior and when evaluating agent
completion or retrieval quality. Fluency alone is not an acceptance criterion.

## Prerequisites

Provide versioned held-out tasks and expected outcomes. Mock provider calls in
unit tests; live evaluation requires authorized access and a usage budget.

## Core Rules

Define user-visible success before tuning models, prompts, tools or context.
Version a held-out dataset with known expected outcomes, negative cases and
integration checks. Keep train/tuning examples separate. Preserve failures in
the denominator; never weaken a grader to improve a score.

Record the actual deployment/model, host, prompt/tool version, dataset revision,
parameters, usage source and timestamp. Seeds and zero temperature improve
repeatability where supported but do not guarantee deterministic LLM output.

## Decision Guide

| Output | Preferred evidence |
|--------|--------------------|
| Code or agent task | Requirement tests, execution trace, integration behavior, regression and negative tests |
| Structured result/tool call | Schema plus semantic assertions and permission boundaries |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jnpiyush/agentx/ai-evaluation@sha256:a38e3d28bf9d0716

The line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bns6lagbxpodql6i.svg)](https://markdownregistry.com/a/art_bns6lagbxpodql6i)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Mar 1, 2026 and Sep 5, 2026, about one every 63 days.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-09-05 586498e 5,115 BA view · diff
v1.0.02026-04-22 7f3a017 12,166 BA view · diff
v1.0.02026-03-01 969f335 12,153 BA view · diff
v1.0.02026-03-01 ac76f34 10,313 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5115 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jnpiyush/agentx · 18 stars · license Apache-2.0 · pushed 2026-11-01 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_bns6lagbxpodql6i
GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/ai-evaluation
GET https://markdownregistry.com/api/v1/blob/a38e3d28bf9d0716d34f747230d686179a417f91d9a73c124eeef2a87cec96a2

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in jnpiyush/agentx

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