- Fit
- 43 / 100
- Trust
- Needs review
- Setup
- Source guide
- Before run
- 1 check
No community evaluationAgentStaffer users have not submitted a review yet.
Full readiness snapshotCandidate summary and risk context stay available here.
Automated ML experiment optimization using tree search — designs experiments, generates code, evaluates results, and iterates
No community evaluation: AgentStaffer users have not submitted a review yet.
Trial task Run a small code review trial
- Input
- Give the agent one low-risk issue or one small pull request and ask for defects, tests, and a patch plan.
- Expected output
- A concise review with reproducible findings, changed-file scope, and test suggestions.
- Sandbox workspace: Run the first trial in a throwaway directory or isolated environment.
- License review: License metadata is missing from the current public profile.
- Clear Install path reviewed
- Hold Trust evidence reviewed
- Install asks for production credentials or broad write access.
- Source or package cannot be verified from profile evidence.
Create evidence with POST /api/actions/run-trial. Keep the card short; open the full checklist in the trial JSON.