ai-evals-design SKILL.md skillA
ai-evals-design from muvon/octomind-tap is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add muvon/octomind-tap/ai-evals-design@git:20261013.a69e0bbPins git:20261013.a69e0bb in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- muvon/octomind-tap
- Path
skills/ai-evals-design/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261013.a69e0bb, committed Oct 13, 2026
- First version recorded
- May 21, 2026
- Size
- 17,225 bytes
- Repository stars
- 6
- License
- Apache-2.0
Operational playbook for designing production LLM evaluation in 2026. Covers eval framework selection (Promptfoo, DeepEval, Inspect, LangSmith, Braintrust, Phoenix, Galileo), golden dataset construction (size, stratification, versioning, contamination), synthetic data generation, LLM-as-judge design and calibration (G-Eval, human agreement, position/length bias, preference leakage), statistical significance (standard errors, clustering, paired differences, power analysis), RAG metrics…
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
## Overview Every prompt, model, or effort change is a stochastic intervention into a behavior surface, and "looks better" is not a verdict. Eval-driven development (Red Hat, March 2026) makes the suite the merge gate. This skill encodes the methodology that turns LLM evaluation from anecdote into evidence. Use this skill when designing a new eval suite, validating a prompt or model change, gating a deploy, debugging production quality drift, or building CI regression tests. Skip it when the change is purely structural (config, framework version) with no behavioral surface area. ## Mental model A real eval has five parts: 1. Behavior spec — a precise, falsifiable description of what the system should do. "Be helpful" is not a spec. "Answer the user's question using only the retrieved context, with factual claims grounded in cited passages" is. 2. Golden dataset — stratified examples covering happy paths and edge cases. Version-controlled. Sized for the smallest effect you care about detecting. 3. Metric — one per behavior. Composite scores hide regressions; report components. …
Read the whole file at its exact version.
How to install
mdr add muvon/octomind-tap/ai-evals-design@sha256:63810e9f80c0b78dThe line at the top of this page pins the label git:20261013.a69e0bb, 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_hwbp3amodwr6zire)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between May 21, 2026 and Oct 13, 2026, about one every 72 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261013.a69e0bb latest | 2026-10-13 | a69e0bb | 17,225 B | A | view · diff |
| git:20260918.40e721d | 2026-09-18 | 40e721d | 18,155 B | A | view · diff |
| git:20260521.845154d | 2026-05-21 | 845154d | 18,154 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 (17225 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
muvon/octomind-tap · 6 stars · license Apache-2.0 · pushed 2026-11-08 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_hwbp3amodwr6zire GET https://markdownregistry.com/api/v1/resolve?ref=muvon/octomind-tap/ai-evals-design GET https://markdownregistry.com/api/v1/blob/63810e9f80c0b78daeb9e98b6e6ee7dc82994c8c5109c1190060f111fd19beac
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.