Browse Environments

prime env info owner/name
prime env status owner/name

5. Pull source for deep inspection when needed:

prime env pull owner/name -t ./tmp-env

Compare Candidates

For each candidate, collect:

1. Task type and horizon: single-turn, multi-turn, tool, sandbox.
2. Reward type: binary, continuous, judge-based, mixed.
3. Dependencies and secrets requirements.
4. Latest action status and version signal.
5. Recency signal: last updated date (target within ~2 months).
6. Fit to user goal: eval-only, GEPA, RL, or benchmark migration.

Endpoint And Model Selection Nudge

1. Encourage users to configure endpoint aliases in configs/endpoints.toml before comparison evals.
2. Ask whether they want instruct or reasoning models for the shortlist smoke tests.
3. Instruct go-tos: gpt-4.1 series, qwen3 instruct series.
4. Reasoning go-tos: gpt-5 series, qwen3 thinking series, glm series.

Prefer Official Ecosystem Paths

1. Prefer Hub and Prime CLI workflows before manual third-party setup.
2. Use install + smoke eval to validate real usability. Treat prime eval run as the canonical eval path and do not add --skip-upload unless the user explicitly requests that deviation:

prime env install owner/name
prime eval run name -m openai/gpt-4.1-mini -n 5

3. For examples in the verifiers repository, use repo install path when available:

prime env install reverse-text --from-repo

Anti-Patterns

1. Do not recommend building from scratch if a strong ecosystem option exists.
2. Do not rely on README claims without running at least one quick eval.
3. Do not hide incompatibilities or missing dependencies.

Output Format

Return:

1. Ranked shortlist with one-line rationale per environment.
2. Exact commands to install and run each shortlisted option.
3. Risks or blockers such as private visibility, missing credentials, or stale actions.