'bench' 검색 결과

Set up and run kube-bench to check Kubernetes configuration against CIS security benchmarks. Select the appropriate benchmark and cluster components, then export JSON or JUnit results for automated pipelines and troubleshoot skipped checks or incorrect detection.

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• Setting up kube-bench for the first time
• Selecting benchmark versions and scan targets
• Exporting JSON or JUnit results for CI

Design, configure, run, and review BenchmarkDotNet measurements of small .NET operations. Compare implementations, runtime versions, or input sizes, while controlling setup work, measurement errors, and case counts so results support a concrete performance decision.

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• Compare the performance of alternative implementations
• Reproduce a reported performance problem
• Measure performance before and after a code change

Carry out Benchmark Email tasks through Rube MCP, which links an AI agent with external tools. The skill discovers supported actions and their input formats, confirms an active connection, and executes the requested operations.

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• Finding supported Benchmark Email actions
• Checking the connection before running a task
• Batching multiple Benchmark Email operations

Automate Bench operations through Rube MCP, a connection for agent tools. The skill discovers supported actions, checks the service connection, and executes tasks using the current input requirements returned by Composio.

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• Finding available Bench actions
• Checking the connection before running tasks
• Running multiple supported operations together

Automate Bench operations through Rube MCP, a connection for agent tools. The skill discovers supported actions, checks the service connection, and executes tasks using the current input requirements returned by Composio.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding available Bench actions
• Checking the connection before running tasks
• Running multiple supported operations together

Carry out Benchmark Email tasks through Rube MCP, which links an AI agent with external tools. The skill discovers supported actions and their input formats, confirms an active connection, and executes the requested operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding supported Benchmark Email actions
• Checking the connection before running a task
• Batching multiple Benchmark Email operations

Coordinate bounded test runs for one Terminal-Bench task through Paperclip. Record evidence, diagnose failures, and manage approval for product fixes while keeping reruns in the same isolated working copy.

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• Repeating a single Terminal-Bench task within set limits
• Diagnosing why a benchmark run stopped
• Managing approval before product fixes

Design or extend DataFusion benchmarks using SQL where practical. Select representative workload variations, keep unrelated processing lightweight, and integrate runs with bench.sh so measurements reflect useful execution paths and remain practical to run.

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• Add SQL benchmarks for DataFusion operators
• Select representative input sizes and filter conditions
• Reduce unrelated processing overhead in measurements

Automate lab data tasks in Benchling using its Python SDK and REST API. Import and export sequences, inspect sample inventory, and work with electronic lab notebooks and workflow tasks while checking schemas, permissions, and operation results.

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• Importing DNA sequences from FASTA files
• Auditing sample inventory at a storage location
• Exporting sequences for a specific schema to CSV

Create and verify gentle-ai journeys, which are scripted sequences of product actions. Check their declarations separately from actual execution, review outdated expectations after behavior changes, and record execution results for pull requests.

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• Adding a product operation journey
• Updating expectations after behavior changes
• Reproducing a bench failure from CI

Guides LoopX benchmark experiments through benchmark-toolkit, covering run management, comparisons under matched conditions, and analysis of agent action histories. It helps explain outcomes and efficiency while tracking source versions, score validity, and evidence boundaries.

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• Planning and managing benchmark runs
• Comparing baselines and treatments under matched conditions
• Diagnosing outcomes and efficiency from agent action histories

Use this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in — a versioned shared library with DOCA_EXPERIMENTAL-marked C entry points that doca-bench loads to measure a workload class its built-in modes do not cover, with doca_bench_cuda as the shipped reference exemplar. Trigger even when the user does not say "doca-bench-extension" or "doca_bench_cuda" — typical implicit phrasings include "no built-in doca-bench mode fits my workload", "how do I benchmark a CUDA GPUNetIO RX/TX kernel", "doca-bench cannot find or load my custom .so", "extension exported symbols do not match what the parent expects", "soversion mismatch after a DOCA upgrade", or "my GPU kernel hangs because stop_flag was never set". Refuse and route elsewhere for questions about which built-in doca-bench mode to pick, DOCA GPUNetIO programming semantics, CUDA toolkit installation, or contributor work on in-tree extensions — those belong to other skills.

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Create a fixed JSON evaluation suite from a repository's existing tests and check its structure for errors. Use the suite with harness-evolve to compare variants against consistent tasks, independently of the repository's normal test command.

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• Create a fixed evaluation suite from existing tests
• Check evaluation suite structure in CI
• Compare variants across commits using consistent tasks

Compare five Codex execution setups on Terminal-Bench 4.0 under matching conditions. The skill covers benchmark configuration, separate verification environments, image preparation, and result interpretation to help identify misleading scores caused by setup errors.

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• Compare five Codex execution setups
• Check benchmark network and verification settings
• Prepare task and verifier container images

Activate this skill when BenchmarkDotNet (BDN) is involved in the task — creating, running, configuring, or reviewing BDN benchmarks. Also activate when microbenchmarking .NET code would be useful and BenchmarkDotNet is the likely tool. Consider activating when answering a .NET performance question requires measurement and BenchmarkDotNet may be needed. Covers microbenchmark design, BDN configuration and project setup, how to run BDN microbenchmarks efficiently and effectively, and using BDN for side-by-side performance comparisons. Do NOT use for profiling/tracing .NET code (dotnet-trace, PerfView), production telemetry, or load/stress testing (Crank, k6).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Activate this skill when BenchmarkDotNet (BDN) is involved in the task — creating, running, configuring, or reviewing BDN benchmarks. Also activate when microbenchmarking .NET code would be useful and BenchmarkDotNet is the likely tool. Consider activating when answering a .NET performance question requires measurement and BenchmarkDotNet may be needed. Covers microbenchmark design, BDN configuration and project setup, how to run BDN microbenchmarks efficiently and effectively, and using BDN for side-by-side performance comparisons. Do NOT use for profiling/tracing .NET code (dotnet-trace, PerfView), production telemetry, or load/stress testing (Crank, k6).

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Open an existing SenseNova HTML slide deck in PPT Workbench for browser-based preview, inspection, and visual editing. Select a deck folder or find the latest local deck, with interactive agent chat available when a supported connection is configured.

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• Preview an existing HTML presentation in a browser
• Open a specific deck folder for visual editing
• Find and open the latest deck in the workspace

SkillsBench task PR review — classifies the task track (standard / research / multimodal), runs static policy checks against the track-specific rubric, benchmarks the task across oracle plus Claude and Codex (with and without skills), audits trajectories for cheating and skill invocation, and produces a `pr-N-task-timestamp-run.txt` review report alongside a `prN.zip` bundle of trajectories. Use when reviewing a SkillsBench task PR (by number, branch, or local task path), when the user asks to review a task, run benchmarks on a PR, audit a submission, classify a task as research or multimodal track, or prepare a comment to post on a SkillsBench PR.

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SkillsBench task authoring — walk a contributor from idea to submission-ready task following CONTRIBUTING.md and the task-implementation rubric. Use when the user wants to create a new SkillsBench task, scaffold a task from an existing workflow (notebook, Excel workbook, document, dataset), convert a prompt or a benchmark item into a SkillsBench task, write skills for a task, or prepare a SkillsBench PR. Pairs with `task-review` (run that as a self-check before submitting).

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Phase 2B of the Gaia evidence verification pipeline. Verifies benchmark-result rows and benchmark-source candidates against registry/benchmark-sources.json before adversarial audit, link validation, catalog promotion, or ingestion. Use when running /ev-pipeline, checking benchmark-result evidence, reviewing benchmark-source candidates, or preparing benchmark rows for /gaia-ingest-batch.

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Local-only regression / benchmark skill for ui-clone-skills maintainers. Drives the standard ui-reverse-engineering pipeline against the canonical reference site (https://realfood.gov) and records AE/SSIM, iteration count, gate fail counts, and outcome to benchmark/history.csv so prompt / sub-doc / model-version drift surfaces as a trend. Trigger phrases: "run benchmark" / "regression benchmark" / "benchmark clone". The Makefile no longer has a `benchmark` target — setup is inline bash in this skill (Step 1 below). Internal: NOT registered in `.claude-plugin/plugin.json` `skills`. Not part of the public 3-skill marketplace surface. Maintainer tooling only.

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Ponytail 5의 공개 벤치마크에서 코드량, 출력 토큰, 비용, 시간 등의 비교 결과를 문자 막대그래프로 표시합니다. 현재 프로젝트의 절감량은 계산하지 않습니다.

• 공개된 코드량과 비용 비교 확인
• 정확성과 테스트 관련 측정 결과 확인
• 측정 조건과 결과를 함께 확인

Review an AAS skill stack, its proposed changes, and selection evidence in Workbench. Check identifiers, versions, setup gaps, and mismatches between related files without installing skills or applying the proposed changes.

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• Review a composed AAS skill stack
• Check proposed changes before applying them
• Find setup gaps and mismatches between related files

Audit AWS, Azure, and GCP configurations against CIS Benchmarks, security configuration guidelines. Use automated scan results to identify failed checks, prioritize fixes, report compliance by area, and establish ongoing monitoring for configuration changes.

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• Running an initial cloud security configuration audit
• Preparing CIS-related evidence for SOC 2 or ISO 27001 audits
• Prioritizing fixes for failed security checks