llm-evaluation SKILL.md skillA
llm-evaluation from dicklesworthstone/pi_agent_rust is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add dicklesworthstone/pi_agent_rust/llm-evaluation@git:20260205.788be98Pins git:20260205.788be98 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- dicklesworthstone/pi_agent_rust
- Path
tests/ext_conformance/artifacts/agents-wshobson/llm-application-dev/skills/llm-evaluation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260205.788be98, committed Feb 5, 2026
- Size
- 19,058 bytes
- Repository stars
- 1,966
- License
- a license file GitHub does not identify
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application 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
# 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 Fast, repeatable, scalable evaluation using computed scores. **Text Generation:** - **BLEU**: N-gram overlap (translation) - **ROUGE**: Recall-oriented (summarization) - **METEOR**: Semantic similarity - **BERTScore**: Embedding-based similarity - **Perplexity**: Language model confidence **Classification:** - **Accuracy**: Percentage correct - **Precision/Recall/F1**: Class-specific performance - **Confusion Matrix**: Error patterns - **AUC-ROC**: Ranking quality **Retrieval (RAG):** - **MRR**: Mean Reciprocal Rank - **NDCG**: Normalized Discounted Cumulative Gain - **Precision@K**: Relevant in top K …
Read the whole file at its exact version.
How to install
mdr add dicklesworthstone/pi_agent_rust/llm-evaluation@sha256:78d78b66df7235eeThe line at the top of this page pins the label git:20260205.788be98, 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_vx5tk6lar2hxtvbv)
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Versions
The registry has recorded 1 version of this file, committed on Feb 5, 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 (19058 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
dicklesworthstone/pi_agent_rust · 1,966 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vx5tk6lar2hxtvbv GET https://markdownregistry.com/api/v1/resolve?ref=dicklesworthstone/pi_agent_rust/llm-evaluation GET https://markdownregistry.com/api/v1/blob/78d78b66df7235ee4a0776d728e8af2dfc3dc7bf8d8419dc722f4cffd5b99834
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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