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Re-run LLM diagnosis for an existing rounds error signature
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Assess telemetry data — identifies distinct transaction types from an explore query and launches sub-agents to analyze each for instrumentation quality, code efficiency, usage correctness, and skill improvement opportunities
Print available rounds skills, project directory layout, and a brief overview of what rounds does
Exploratory querying of telemetry data — search logs by keyword/metadata, search spans by metadata, and build full transaction trees from trace IDs using the rounds adapter interfaces
Get full details for a single rounds error signature including diagnosis, recent events, and related signatures
Investigate a distributed trace by ID — fetches the full trace, reads source files, and explains the end-to-end code flow
List error signatures in the rounds database, optionally filtered by status
Basierend auf der SOC-Berufsklassifikation
| name | rounds-reinvestigate |
| description | Re-run LLM diagnosis for an existing rounds error signature |
| user_invocable | true |
| args | ["signature_id"] |
Trigger a fresh LLM diagnosis for an existing error signature. Useful after editing the diagnosis adapter or prompt, or when a previous diagnosis had low confidence.
/rounds-reinvestigate SIGNATURE_ID
Substituting $ARGUMENTS for the signature ID:
cd /workspace/rounds && python -m rounds.main cli-run reinvestigate '{"signature_id": "$ARGUMENTS"}'
The command outputs a JSON object. Parse it and present:
On success ("status": "success"):
diagnosis.root_causediagnosis.confidence (low / medium / high)diagnosis.suggested_fixdiagnosis.modeldiagnosis.cost_usd formatted as $X.XXXXOn error ("status": "error"):
Show the message field. Common causes:
/rounds-list to confirm the IDCLAUDE_CODE_BUDGET_USD / DAILY_BUDGET_LIMIT/rounds-reinvestigate 3f2a1b4c-8d9e-4f5a-b6c7-d8e9f0a1b2c3