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.
mog install mogteam/wshobson-llm-evaluation
Sourced from wshobson/agents under the MIT license.
After installing, your AI assistant needs a pointer to the skill file. Use the agent card below or the --wire flag.
Install + auto-wire
mog install mogteam/wshobson-llm-evaluation --target cursor --wireCreates .cursor/rules/wshobson-llm-evaluation.mdc pointing to the skill.
Agent card
## Wshobson Llm Evaluation 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. - **Install**: `mog install mogteam/wshobson-llm-evaluation --target cursor` - **Type**: skill - **Path after install**: `.cursor/skills/wshobson-llm-evaluation/SKILL.md` - **Targets**: cursor, claude-code, codex, gemini-cli, windsurf, generic When editing, read and follow @.cursor/skills/wshobson-llm-evaluation/SKILL.md
Paste into AGENTS.md, .cursor/rules, or your agent's instructions.
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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.
Free
mog install mogteam/wshobson-llm-evaluationSource
wshobson
github.com/wshobson/agentsThis package is sourced from the above repository and distributed on mog under its original license.
@mogteam
Official curated skills and prompt templates from the mog.md team.