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Plan upcoming work, analyze coverage gaps, and recommend next steps for benchmarking.
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Based on SOC occupation classification
Archive old completed benchmark runs to save disk space and speed up scans. Triggers on archive runs, clean up runs, disk space, old runs.
Audit benchmark suites against ABC framework (Task/Outcome/Reporting validity). Checks instruction quality, verifier correctness, reproducibility. Triggers on benchmark audit, audit benchmark, abc audit, task validity.
Verify infrastructure readiness before launching benchmark runs — tokens, Docker, disk, credentials. Triggers on check infra, infrastructure check, ready to run, pre-run check.
Compare benchmark results across agent configurations (baseline, SG_full). Show where configs diverge. Triggers on compare configs, config comparison, which config wins, MCP impact.
Token and cost analysis per run, suite, and config. Shows most expensive tasks and config cost comparison. Triggers on cost report, how much did it cost, token usage, spending.
Generate the aggregate CSB evaluation report from completed Harbor runs. Triggers on generate report, eval report, ccb report, benchmark report.
| name | next |
| description | Plan upcoming work, analyze coverage gaps, and recommend next steps for benchmarking. |
Use this skill when the user asks to:
# Overall readiness assessment
python3 scripts/infra/check_infra.py
# Current run status and coverage
python3 scripts/analysis/aggregate_status.py --staging
# Gap analysis (missing suites/configs)
grep -r "missing\|incomplete" runs/staging/*/result.json | head -20
# Plan variance runs
python3 scripts/analysis/plan_variance_runs.py --target 50 --dry-run
# Coverage gap analysis
python3 scripts/analysis/analyze_run_coverage.py --runs-dir runs/staging
/status — check current completion state/run — execute next steps/audit — validate readiness for next phase