Individual skill
evaluations
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.
services/langyagent/internal/assets/skills/evaluations/SKILL.md
Source commit e5e4a1741ba26492ebf8865b24b05e0ef39b750e
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
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Repository context
- Repository stars (not skill ratings)
- 5,019
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- analytics Repository topic
- datasets Repository topic
- evaluation Repository topic
- gpt Repository topic
- llm Repository topic
- observability Repository topic
- openai Repository topic
- prompt-engineering Repository topic
- dspy Repository topic
- operations Derived category
- devops Derived category
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# 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.
In Langy, ask it with the `question` tool and stop; the options are the concrete alternatives, for example "A dataset, before deployment" and "Live production traffic". Elsewhere, ask the same question as one short line of prose.