eval skillA
eval is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Evaluate a named AI Analyst configuration across a frozen suite. Use when the user asks to run an eval suite, compare a change, inspect system accuracy, or run working or heldout capability and regression cases..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Evaluate the system ## Before running Name the exact system under test. Record its model, instructions, skills, agents, helpers, knowledge, workflow, tools, connector configuration, and data snapshot. Use one of these modes honestly: - Working mode supports iteration. Its references may be visible to the evaluator, but never to the child trial before its output is locked. - Course heldout mode sends locked outputs to the course-controlled grader. The expected results do not live in the student clone. - A local visible answer file is development material. Do not call it a secret heldout evaluation. ## Run 1. Load the question-only manifest from `data/evals/public/`. 2. Select the exposure, purpose, named cases, and any slice before the run starts. Exposure is `working` or `heldout`. Purpose is `capability` or `regression`. Do not treat these as one dimension. 3. Use `helpers.evals.controller.EvaluationController` to launch and record the trials. 4. Give each trial only its public task, permitted system files, permitted data, and permitted tools. 5. Lock every trial output before grading begins. 6. Grade deterministic criteria first. Keep model-based grades separate. …
Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/eval@git:20260922.fb66472mdr add ai-analyst-lab/ai-analyst/eval@sha256:e6def2467ae1ac84Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_orbnwby5ctcggjka)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260922.fb66472 latest | 2026-09-22 | fb66472 | 5,897 B | A | view · diff |
| git:20260922.4ff21c3 | 2026-09-22 | 4ff21c3 | 5,629 B | A | view · diff |
| git:20260920.18d2675 | 2026-09-20 | 18d2675 | 3,583 B | A | view · diff |
| git:20260918.53c618f | 2026-09-18 | 53c618f | 2,693 B | A | view · diff |
| git:20260910.c4b91ef | 2026-09-10 | c4b91ef | 2,462 B | A | view · diff |
| git:20260902.b370de6 | 2026-09-02 | b370de6 | 9,116 B | A | view · diff |
| git:20260828.5cc6199 | 2026-08-28 | 5cc6199 | 9,140 B | A | view · diff |
| git:20260828.99f3097 | 2026-08-28 | 99f3097 | 9,188 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 (5897 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
ai-analyst-lab/ai-analyst · 302 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_orbnwby5ctcggjka GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/eval GET https://markdownregistry.com/api/v1/blob/e6def2467ae1ac8410a2c03d0ef16056751c8eda14c10fa58f5955154b320f9c
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