Failure triage with Jev
Experimental support for development agents. Use semantic evaluation where it adds value; use deterministic tools for mechanical checks.
Workflow
Read the shared protocol for evidence preparation, API use and interpretation. The client is bundled so this skill can be installed independently.
Collect the exact error, environment, execution stage, recent changes and a working control when available. Ask a Choice question to prioritize the failing layer; use independent Noul questions for potentially coexisting causes. Distinguish observations from hypotheses and unknowns. Verify the suggested cause with actual traces or a focused reproduction before reporting a root cause. Return the evidence, hypothesis, and next useful check.
Synthetic example
Run from this skill directory:
python3 scripts/ask.py examples/request.json --dry-run
python3 scripts/ask.py examples/request.json
The expected category is upstream. Investigate disagreement by examining context, questions and results; do not tune the example merely to force agreement. A synthetic example is a smoke check, not an accuracy benchmark.
Inspired by the TypeSafe use-case map.