evaluation SKILL.md skillA

evaluation from docxology/template is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add docxology/template/evaluation@git:20260713.397aa15

Pins git:20260713.397aa15 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
docxology/template
Path
.agents/skills/evaluation/SKILL.md
Versions recorded
1
Latest version
git:20260713.397aa15, committed Jul 13, 2026
Size
16,829 bytes
Repository stars
20
License
Apache-2.0

This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.

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

# Evaluation Methods for Agent Systems

Evaluate agent systems differently from traditional software because agents make dynamic decisions, are non-deterministic between runs, and often lack single correct answers. Build evaluation frameworks that account for these characteristics, provide actionable feedback, catch regressions, and validate that context engineering choices achieve intended effects.

## When to Activate

Activate this skill when:
- Testing agent performance systematically
- Validating context engineering choices
- Measuring improvements over time
- Catching regressions before deployment
- Building quality gates for agent pipelines
- Comparing different agent configurations
- Evaluating production systems continuously

Do not activate this skill for adjacent work owned by other skills:
- Designing the LLM judge itself, pairwise comparison, judge calibration, or bias mitigation: `advanced-evaluation`.
- Designing autonomous control surfaces, novelty gates, rollback, or PR approval boundaries: `harness-engineering`.
- Debugging a specific context failure mode before measuring it: `context-degradation`.

## Core Concepts
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add docxology/template/evaluation@sha256:1f31cda0910dfd48

The line at the top of this page pins the label git:20260713.397aa15, 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_gglyrnwq22vrgh3b.svg)](https://markdownregistry.com/a/art_gglyrnwq22vrgh3b)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 13, 2026.

versioncommittedcommitsizeaudit
git:20260713.397aa15 latest2026-07-13 397aa15 16,829 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 (16829 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

docxology/template · 20 stars · license Apache-2.0 · pushed 2026-10-31 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gglyrnwq22vrgh3b
GET https://markdownregistry.com/api/v1/resolve?ref=docxology/template/evaluation
GET https://markdownregistry.com/api/v1/blob/1f31cda0910dfd48d928e1485b303b739608ceeb0babca0e9a6f821cbf4320ff

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 docxology/template

Other files named evaluation

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