evals-start
Entry point for evals
Install / Use
npx skills add ai-evals-course/evals-skills --skill evals-startInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Tags
Our assessment of evals-start
evals-start scores 56/100 on our quality scale, 2665th of 2,788 Automation skills we index.
Its SKILL.md is 1.6 KB long, lightly structured (1 heading) and no code examples: moderately detailed.
With 1,267 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 15 days ago, so evals-start is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-01. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
evals-start compared with similar skills
All 4 of these similar skills score higher than evals-start; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| evals-start (this skill)by ai-evals-course | 56 | 1.3k | 15d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 87.2k | 16d ago | CLAUDE.md |
| rufloby ruvnet | 100 | 73.6k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 85.0k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 9d ago | SKILL.md |
Frequently asked questions
- How do I install evals-start?
- Run
npx skills add ai-evals-course/evals-skills --skill evals-start. The install tabs above show the steps for each supported agent. - Which AI agents does evals-start work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is evals-start safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is evals-start still maintained?
- The repository was last updated 15 days ago, so evals-start is actively maintained.
Skill content
View source on GitHubname: evals-start description: > Entry point for evals. Use when the user asks for help with evals, does not know where to begin, or asks for something no other skill in this plugin matches. Do NOT use when a more specific skill in this plugin already matches; load that skill directly.
Evals Start
This plugin splits eval work into targeted skills. Your job here is small: find the row below that matches the user's situation, tell the user which skill you are loading and why, then load that skill and follow its workflow from start to finish instead of improvising your own version of it.
| Situation | Skill to load |
|---|---|
| Has traces, wants to find failure modes, no established taxonomy yet | error-discovery |
| Has an existing eval pipeline and wants to know if it can be trusted | eval-audit |
| Has a known failure mode that code can check (e.g., format, schema, regex, execution) | write-code-eval |
| Has a known failure mode and wants an LLM judge for it | write-judge-prompt |
| Has an LLM judge or evaluator and wants to check its quality | validate-evaluator |
| Has no traces to review yet | generate-synthetic-data, then error-discovery |
| Wants a custom annotation interface for some other labeling task | build-review-interface |
| Wants to evaluate a RAG pipeline | evaluate-rag |
Most requests that mention error analysis with traces in hand mean error-discovery. New users with an existing pipeline usually need eval-audit first. This file holds only routing. When in doubt about which row fits, ask the user instead of guessing. The workflow lives in the targeted skill.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.