用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/sourcegraph/CodeScaleBench --skill run-benchmark命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | run-benchmark |
| description | Configure and launch CodeScaleBench runs with current paired-run and curation guardrails. |
Use this skill when the user asks to run benchmark suites, rerun failures, or launch official/gap-fill batches in CodeScaleBench.
Before executing any benchmark run, ask the user to confirm:
anthropic/claude-haiku-4-5-20251001 for test runs)--selection-file?--baseline-only, or --full-only? Which --full-config?staging (default) or official?Do NOT launch a run until the user has confirmed these five parameters.
./configs/<suite>_2config.sh./configs/run_selected_tasks.shconfigs/eval_matrix.json*_3config.sh runners exist.baseline + sourcegraph_full.--baseline-only requires valid existing sourcegraph_full counterpart runs.--full-only requires valid existing baseline counterpart runs.ALLOW_UNPAIRED_SINGLE_CONFIG=true.# Paired per-suite run
./configs/pytorch_2config.sh --parallel 4
# Paired selected-task run
./configs/run_selected_tasks.sh --benchmark csb_sdlc_pytorch
# Gap-fill baseline only (guarded)
./configs/run_selected_tasks.sh --benchmark csb_sdlc_pytorch --baseline-only
# Gap-fill full only (guarded)
./configs/run_selected_tasks.sh --benchmark csb_sdlc_pytorch --full-only
Before launching:
python3 scripts/check_infra.pySOURCEGRAPH_ACCESS_TOKEN is set for MCP-enabled lanes.~/.claude/.credentials.json (or configured multi-account homes).python3 scripts/quarantine_invalid_tasks.py --execute
python3 scripts/generate_manifest.py --require-triage --fail-on-unknown-prefix
python3 scripts/validate_official_integrity.py --runs-dir runs/official --check-mcp-trace-health
python3 scripts/audit_traces.py --json
python3 scripts/cost_report.py
python3 scripts/generate_eval_report.py --runs-dir runs/official --output-dir eval_reports
Runs land under runs/<category>/<run_dir>/ with per-config task directories and flagged_tasks.json.
Use runs/official/MANIFEST.json as the authoritative curated inventory.