| name | datascience |
| description | CSV analysis via 2-pass SOTA orchestrator (score 54/55 on 7 CSVs). Statistics, data profiling, visualizations, insights. |
| trigger_patterns | ["analyse csv","analyser fichier",".csv","data analysis","statistiques"] |
| tools_required | ["exec","pandas","llm_qwen35"] |
| examples | ["/chemin/vers/fichier.csv","/tmp/patients.csv","~/data/sales_2026.csv"] |
| model | qwen3.5-35b-a3b |
| execution | {"command":"/home/remondiere/.openclaw/bin/analyze_csv.sh '$args'","timeout_ms":360000,"arg_mode":"raw"} |
datascience — CSV Analysis
Dispatch direct vers analyze_csv.sh : orchestrateur 2-pass, score 54/55 sur 7 CSVs de référence.
Bypasse le modèle principal : le gateway appelle exec directement.
Process
- Pass 1 — Data profiling (dtypes, null counts, unique values, distributions)
- Pass 2 — LLM insights (patterns, anomalies, recommandations analytiques)
Output
- Shape et dtypes du dataset
- Statistiques descriptives (mean, std, min, max, quartiles)
- Null analysis + outliers
- Cardinalité + corrélations
- Insights LLM synthétisés en français
