Agent Skillslangwatch/langwatch › evaluations

evaluations

GitHub

LangWatch评估请求的路由技能,用于区分预部署实验与生产在线评估。通过意图分类将请求转发至对应子技能,若歧义则引导用户选择。

skills/_compiled/native/evaluations/SKILL.md langwatch/langwatch

Trigger Scenarios

用户请求进行模型或提示词评估但未明确是离线测试还是线上监控 涉及LangWatch评估工作流的初始化或分发

Install

npx skills add langwatch/langwatch --skill evaluations -g -y
More Options

Non-standard path

npx skills add https://github.com/langwatch/langwatch/tree/main/skills/_compiled/native/evaluations -g -y

Use without installing

npx skills use langwatch/langwatch@evaluations

指定 Agent (Claude Code)

npx skills add langwatch/langwatch --skill evaluations -a claude-code -g -y

安装 repo 全部 skill

npx skills add langwatch/langwatch --all -g -y

预览 repo 内 skill

npx skills add langwatch/langwatch --list

SKILL.md

Frontmatter
{
    "name": "evaluations",
    "license": "MIT",
    "description": "Compatibility router for LangWatch evaluation requests. Use only when the user asks for evaluations without making it clear whether they mean pre-deployment experiments or production online evaluations. Routes the request to the focused companion skill and does not implement either workflow itself.",
    "user-prompt": "Help me evaluate my agent",
    "compatibility": "Works with Claude Code and similar AI assistants. The `langwatch` CLI is the only interface for platform operations and documentation."
}

Route an Evaluation Request

This is a compatibility skill. Do not build an experiment, monitor, or guardrail from this skill.

Classify the user's intent:

Intent Correct skill
Batch test a dataset, compare prompts or models, benchmark, create a CI quality gate experiments
Score live traces or threads, monitor production quality, create a guardrail online-evaluations

If the request remains ambiguous after inspecting context (a bare "make me an eval" that names neither a dataset nor live traffic), do not create anything yet. This choice picks what gets tested, so it is the user's to make, not a default's. Ask it as a question card and stop; the answer arrives as the next message.

Where langy-card blocks render, ask it as a choices block (the only sanctioned question format) last in the reply:

```langy-card
{
  "kind": "choices",
  "blockId": "eval-kind",
  "question": "What should this evaluate?",
  "options": [
    { "id": "experiment", "label": "A dataset, before deployment" },
    { "id": "online", "label": "Live production traffic" }
  ]
}
```

Neither option names an existing entity, so neither carries a ref. Without that channel, ask the same question as one short line of prose.

A rejected field value is not this kind of choice. If a create later fails with a validation_error whose reason names the field and an expected list, correct that exact field from the list and retry once. Never turn a fixable slug into a question for the user.

Then hand off:

  1. If the correct companion skill is available, load it and follow it instead of continuing here.

  2. If experiments is missing, tell the user to install it with:

    npx skills@1.5.19 add langwatch/skills/experiments
    
  3. If online-evaluations is missing, tell the user to install it with:

    npx skills@1.5.19 add langwatch/skills/online-evaluations
    

Do not recreate the companion skill's instructions from memory. Load the focused skill so its current workflow, safety checks, and verification steps are used.

Version History

  • 12615f1 Current 2026-08-20 10:01

Same Skill Collection

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skills/_compiled/native/experiments/SKILL.md
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skills/_compiled/native/level-up/SKILL.md
skills/_compiled/native/online-evaluations/SKILL.md
skills/_compiled/native/prompts/SKILL.md
skills/_compiled/native/scenarios/SKILL.md
skills/_compiled/native/setup-lw/SKILL.md
skills/_compiled/native/test-cli-usability/SKILL.md
skills/_compiled/native/test-compliance/SKILL.md
skills/_compiled/native/tracing/SKILL.md

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2026-08-20 10:01

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