evaluation-lab SKILL.md skillA
evaluation-lab from aircrushin/promptminder is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aircrushin/promptminder/evaluation-lab@git:20261011.4c5134fPins git:20261011.4c5134f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aircrushin/promptminder
- Path
skills/premium/evaluation-lab/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261011.4c5134f, committed Oct 11, 2026
- Size
- 2,002 bytes
- Repository stars
- 113
- License
- none declared
Build compact, meaningful prompt evaluations with representative cases, explicit rubrics, and regression thresholds.
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 Lab Use this skill when you are comparing prompt versions, models, or workflow changes and need evidence that survives beyond a single impressive example. ## Working contract Define the behavior that matters before choosing a score. Ask who will judge the output, which failures are unacceptable, and whether speed, cost, or style is part of the decision. ## Method 1. Write the evaluation question as a falsifiable statement. 2. Collect a small case set that covers common, boundary, adversarial, and refusal scenarios. 3. Remove identifying information and avoid using examples that reveal the expected answer through wording. 4. Create a rubric with three to five dimensions. Each dimension needs observable anchors for fail, acceptable, and strong. 5. Run the baseline and the candidate under the same inputs, context, and tool permissions. 6. Record per-case results and inspect disagreements. A mean score cannot hide a critical failure. 7. Set a release rule: minimum overall score, zero tolerance failures, and an allowed regression budget. ## Output format Return: 1. **Evaluation question** and release decision it informs. …
Read the whole file at its exact version.
How to install
mdr add aircrushin/promptminder/evaluation-lab@sha256:5ee8673b4aa04429The line at the top of this page pins the label git:20261011.4c5134f, 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_c3gstvjwjgauamcs)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 11, 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 (2002 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
aircrushin/promptminder · 113 stars · license none declared · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_c3gstvjwjgauamcs GET https://markdownregistry.com/api/v1/resolve?ref=aircrushin/promptminder/evaluation-lab GET https://markdownregistry.com/api/v1/blob/5ee8673b4aa04429dbbd57ced5ddc8f2a8991044c5b2dfab73fb0f5fd83df852
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.