agentic-evaluation-framework SKILL.md skillA
agentic-evaluation-framework from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add borghei/claude-skills/agentic-evaluation-framework@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- borghei/claude-skills
- Path
engineering/agentic-evaluation-framework/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Oct 23, 2026
- First version recorded
- Jun 29, 2026
- Size
- 9,284 bytes
- Repository stars
- 1,075
- License
- a license file GitHub does not identify
This skill should be used when the user asks to "evaluate LLM output quality", "set up LLM-as-judge", "build an eval rubric", "compare model outputs pairwise", or "measure agent quality".
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
# Agentic Evaluation Framework > **Category:** Engineering > **Domain:** AI Engineering ## Overview Design and run trustworthy evaluations for LLM and agent outputs: pick the right grading method (programmatic check, LLM-as-judge, or human review), write a scoring rubric that judges can apply consistently, rank competing variants by pairwise comparison, and watch for the biases that quietly corrupt judge scores — position bias, verbosity bias, and self-preference. The goal is an eval that you can *trust enough to ship on*: calibrated against human labels, cheap enough to run on every change, and tracked alongside cost and latency so you never trade quality away by accident. This skill is model- and vendor-agnostic: it reasons about the evaluation *method*, not any one provider's API, and its scripts aggregate scores you have already collected — they never call a model. ## Clarify First Before designing or running an evaluation, settle the inputs below. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used. …
Read the whole file at its exact version.
How to install
mdr add borghei/claude-skills/agentic-evaluation-framework@sha256:c88d39cab63efbf7The line at the top of this page pins the label v1.0.0, 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.
[](https://markdownregistry.com/a/art_fyresbemxs6qtuza)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jun 29, 2026 and Oct 23, 2026, about one every 58 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-10-23 | 1b15d44 | 9,284 B | A | view · diff |
| v1.0.0 | 2026-10-23 | 2b5180a | 7,686 B | A | view · diff |
| v1.0.0 | 2026-06-29 | 5e4f0f8 | 7,599 B | A | view |
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 (9284 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
borghei/claude-skills · 1,075 stars · license a license file GitHub does not identify · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fyresbemxs6qtuza GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/agentic-evaluation-framework GET https://markdownregistry.com/api/v1/blob/c88d39cab63efbf7228a43a96cfa437dec29127738269bff108ed95bad1c601e
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.