llm-evaluation SKILL.md skillA
llm-evaluation from martineserios/thebrana is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add martineserios/thebrana/llm-evaluation@git:20260610.36508aePins git:20260610.36508ae in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- martineserios/thebrana
- Path
system/skills/acquired/llm-evaluation/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260610.36508ae, committed Jun 10, 2026
- First version recorded
- May 8, 2026
- Size
- 5,051 bytes
- Repository stars
- 3
- License
- MIT
LLM evaluation — automated metrics, human feedback, benchmarking. Use when testing performance, measuring AI quality, or establishing evaluation frameworks.
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
> **QUARANTINE — Community tier.** Patterns here are unvalidated. Read-only tools only. > Verify against official docs (Anthropic, LangSmith) before applying to production. # LLM Evaluation Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing. ## When to Use This Skill - Measuring LLM application performance systematically - Comparing different models or prompts - Detecting performance regressions before deployment - Validating improvements from prompt changes - Building confidence in production systems - Establishing baselines and tracking progress over time - Debugging unexpected model behavior ## Core Evaluation Types ### 1. Automated Metrics **Text Generation:** - **BLEU**: N-gram overlap (translation) - **ROUGE**: Recall-oriented (summarization) - **METEOR**: Semantic similarity - **BERTScore**: Embedding-based similarity - **Perplexity**: Language model confidence **Classification:** - Accuracy, Precision/Recall/F1, Confusion Matrix, AUC-ROC **Retrieval (RAG):** - MRR, NDCG, Precision@K, Recall@K ### 2. LLM-as-Judge Use stronger LLMs to evaluate weaker model outputs. **Approaches:** …
Read the whole file at its exact version.
How to install
mdr add martineserios/thebrana/llm-evaluation@sha256:df3dda3d7b0f01b6The line at the top of this page pins the label git:20260610.36508ae, 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_xcsjjo67qqjdobjt)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between May 8, 2026 and Jun 10, 2026, about one every 16 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260610.36508ae latest | 2026-06-10 | 36508ae | 5,051 B | A | view · diff |
| git:20260513.b0a7a72 | 2026-05-13 | b0a7a72 | 753 B | A | view · diff |
| git:20260508.a7b2053 | 2026-05-08 | a7b2053 | 827 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 (5051 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
martineserios/thebrana · 3 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xcsjjo67qqjdobjt GET https://markdownregistry.com/api/v1/resolve?ref=martineserios/thebrana/llm-evaluation GET https://markdownregistry.com/api/v1/blob/df3dda3d7b0f01b6692daaaf6152a93d1a4bffa59d440be5fecf0f3a02478e6c
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.
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