advanced-evaluation SKILL.md skillA
advanced-evaluation from docxology/template is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add docxology/template/advanced-evaluation@git:20260713.397aa15Pins 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/advanced-evaluation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260713.397aa15, committed Jul 13, 2026
- Size
- 16,990 bytes
- Repository stars
- 20
- License
- Apache-2.0
This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias mitigation, confidence scoring, and automated quality assessment.
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
# Advanced Evaluation This skill covers production-grade techniques for evaluating LLM outputs using LLMs as judges. It synthesizes research from academic papers, industry practices, and practical implementation experience into actionable patterns for building reliable evaluation systems. **Key insight**: LLM-as-a-Judge is not a single technique but a family of approaches, each suited to different evaluation contexts. Choosing the right approach and mitigating known biases is the core competency this skill develops. ## When to Activate Activate this skill when: - Building LLM-as-judge systems for LLM outputs - Comparing multiple model responses to select the best one - Establishing consistent quality standards across evaluation teams - Debugging evaluation systems that show inconsistent results - Designing A/B tests for prompt or model changes - Creating rubrics specifically for LLM or human/LLM hybrid judges - Analyzing correlation between automated and human judgments Do not activate this skill for adjacent work owned by other skills: - General deterministic checks, regression suites, production quality gates, or outcome metrics: `evaluation`. …
Read the whole file at its exact version.
How to install
mdr add docxology/template/advanced-evaluation@sha256:8b9e3d9de07a0505The 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.
[](https://markdownregistry.com/a/art_d5o7lxl7anuqpgli)
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.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (16990 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
docxology/template · 20 stars · license Apache-2.0 · pushed 2026-10-31 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_d5o7lxl7anuqpgli GET https://markdownregistry.com/api/v1/resolve?ref=docxology/template/advanced-evaluation GET https://markdownregistry.com/api/v1/blob/8b9e3d9de07a0505ae2b42df2e15dd75bab5f2486e336194481c558e0648ded0
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.
More from docxology/template
Every file in docxology/template