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configurations and model performance\n- Perform impact analysis (IR, MCP effects)\n- Export and visualize results\n\n## Canonical Commands\n\n```bash\n# Generate full evaluation report\npython3 scripts\u002Fmaintenance\u002Fgenerate_eval_report.py\n\n# Cost breakdown analysis\npython3 scripts\u002Fevaluation\u002Fcost_report.py --run-dir runs\u002Fstaging\u002Frun_dir\n\n# Cost analysis by model\u002Fsuite\npython3 scripts\u002Fevaluation\u002Fcost_breakdown_analysis.py --staging\n\n# Compare configurations\npython3 scripts\u002Fevaluation\u002Fcompare_configs.py --config1 baseline --config2 sourcegraph_full\n\n# IR analysis (information retrieval)\npython3 scripts\u002Fevaluation\u002Fir_analysis.py --run-dir runs\u002Fstaging\u002Frun_dir\n\n# Oracle impact analysis\npython3 scripts\u002Fevaluation\u002Foracle_ir_analysis.py --runs-dir runs\u002Fstaging\n```\n\n## Report Types\n\n- **Evaluation Report** — task-level metrics, pass rates by suite\u002Fmodel\n- **Cost Report** — token usage, API calls, infrastructure costs\n- **Config Comparison** — baseline vs MCP performance delta\n- **Impact Analysis** — retrieval quality and verifier contribution\n- **Trend Analysis** — performance over time across runs\n\n## Key Metrics\n\n- **Pass rate** — % tasks passed verification\n- **Model success** — % tasks where agent succeeded\n- **Cost per task** — average tokens\u002F$ spent\n- **Improvement (MCP)** — gain from Sourcegraph integration\n- **Verification cost** — dual verification overhead\n\n## Related Skills\n\n- `\u002Fevaluate` — extract and score individual task results\n- `\u002Frun` — generate results to analyze\n- `\u002Fstatus` — check run status before generating reports\n",{"data":33,"body":34},{"name":4,"description":6},{"type":35,"children":36},"root",[37,46,53,59,89,95,339,345,399,405,458,464,500],{"type":38,"tag":39,"props":40,"children":42},"element","h1",{"id":41},"skill-reports-analysis",[43],{"type":44,"value":45},"text","Skill: Reports & 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