'afl' 검색 결과

Prepare and verify native cmux changes with checks suited to the files changed. It covers setup, tagged builds that isolate development sessions, Xcode project normalization, and matching sidebar extensions to their host app.

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• Setting up native cmux development
• Building and verifying a tagged development app
• Checking edits to Xcode project files

Organize cmux windows, workspaces, and split panes so an agent can target the right terminal reliably. Create terminals with startup commands, move or reorder panels, change focus, and flash a panel to identify it.

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• Arrange terminals for several tasks
• Start a development command in a new split
• Move or reorder panels

Automate the cmux workspace where an agent was started. It guides explicit targeting of terminals and tabs, reuses helper panes for previews or logs, and reports progress while preserving the user's current focus.

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• Opening previews or logs in a helper pane
• Running commands in the caller's terminal
• Showing task progress in the sidebar

Inspect and edit cmux preferences for appearance, notifications, browsers, viewers, and shortcuts. Look up supported settings, validate changes before saving, preview edits, and undo recorded changes when the saved value still matches.

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• Changing cmux appearance and sidebar preferences
• Adjusting Markdown fonts and diff layouts
• Rebinding keyboard shortcuts

Run commands and coding agents on existing cmux Cloud machines, monitor work that continues after disconnection, and present results through workspaces or service URLs. The skill guides machine selection, background execution, and result verification.

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• Run long commands that continue after disconnection
• Assign coding work to a remote agent
• Monitor remote work without opening panes

Unify cmux behavior across shortcuts, menus, and CLI commands. This skill guides shared update logic, recovery when an update fails, and tests that reproduce bugs missed by existing coverage.

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• Unifying behavior across shortcuts, menus, and CLI commands
• Restoring displayed state after a failed update
• Adding regression tests for a previously missed bug

Choose checks for cmux changes, add tests that reproduce observable bugs, and verify that Swift test files are included in build targets. It also guides local and CI validation, including evidence that selected tests actually ran.

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• Choose validation checks for a cmux change
• Add a regression test that reproduces a bug
• Verify Swift test files are included in the build

Automate browsing in cmux panels without taking focus away from current work. Target a specific panel to open pages, fill forms, click controls, wait for page changes, extract content, and inspect download history.

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• Open and inspect sites without changing focus
• Fill forms and check the result
• Extract page text or HTML

Guide changes to cmux CLI and socket commands with rules for thread use, app focus, and remote relay authorization. It helps keep frequent status updates off the main thread and preserve focus during background automation.

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• Review thread handling for new socket commands
• Keep automated operations from stealing app focus
• Check focus behavior when opening panes or workspaces

Guides adding metadata, extra information attached to data elements, to Apache Beam's WindowedValue. Maps the changes needed across serialization, storage, processing, and runner interfaces so new fields remain available during pipeline execution.

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• Adding trace context or drain flags to WindowedValue
• Checking metadata preservation through Windmill storage
• Reviewing propagation through grouping and timers

Set up libFuzzer to test C/C++ code with varied inputs guided by which code paths run. Build test harnesses, manage sample inputs and dictionaries, enable error detectors, and reproduce crashes or investigate stalled coverage.

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• Starting fuzz testing for a C/C++ library
• Writing or debugging an LLVMFuzzerTestOneInput harness
• Investigating runs that find no crashes or new code paths

Build and test code with AddressSanitizer, a tool that detects invalid memory access during execution. Configure checks for C/C++ and unsafe Rust, investigate crash reports, and adjust settings for fuzzing, or testing with generated inputs.

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• Detect memory errors while fuzzing C/C++
• Test unsafe Rust and calls to external libraries
• Interpret an ASan crash report

Writes, reviews, and debugs property-based tests, which generate inputs to check general rules. Helps test conversions, parsers, normalization, and state invariants, assess whether existing assertions are meaningful, and distinguish faulty rules from implementation bugs.

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• Testing encode/decode round trips across generated inputs
• Checking normalization and sorting properties
• Reviewing whether existing property tests assert meaningful rules

Scans code for security vulnerabilities with CodeQL by tracing data across functions. Builds and checks analysis databases, models project-specific APIs, and saves findings in SARIF, a structured results format, with broad or focused scan options.

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• Scanning a codebase for security vulnerabilities
• Tracing untrusted input through custom APIs
• Choosing broad or high-precision security scans

Manages Fabric Variable Library items, including definitions, libraryVariables and valueSets overrides. Covers which consumers can reference a variable and with what syntax -- pipelines, notebooks via notebookutils variableLibrary, Dataflow Gen2, Copy Jobs, shortcuts, UDFs and Plan items -- the active value set per workspace or deployment stage, and Git serialization for CI/CD.

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Finds Fabric items across every workspace with the Catalog Search API when the workspace is unknown, locating an item by display name, inventorying one item type tenant-wide, and returning the workspace and item IDs later calls need. Dataflow Gen1 and Gen2 items are not supported. Use only to locate items; once found, query them with the owning item skill such as sqldw-cli, spark-cli, eventhouse-cli or fabriciq.

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Assembles microbial-community sequencing into metagenome-assembled genomes (MAGs) with metaFlye (ONT), metaSPAdes/MEGAHIT (Illumina), and hifiasm-meta/metaMDBG (PacBio HiFi), then recovers genomes via multi-binner consolidation (MetaBAT2, MaxBin2, CONCOCT, SemiBin2, VAMB -> DAS_Tool) and QCs them against MIMAG with CheckM2, GUNC, and GTDB-Tk. Covers why a metagenome is not a genome (uneven coverage, micro-diversity, strain collapse to consensus), differential-coverage binning, co-assembly vs per-sample, the rRNA-operon collapse that fails short-read MAGs, and strain resolution with inStrain. Use when reconstructing genomes from a microbiome, soil, ocean, or gut community, recovering MAGs, or resolving strain-level variation.

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Extracts and assigns COSMIC v3.4 mutational signatures (86 SBS / 11 DBS / 18 ID / 21 CN / 16 SV) from somatic VCFs using SigProfilerSuite, MutationalPatterns, MuSiCal mvNMF, SigNet, or HRDetect. Use when characterizing DNA-damage etiology (BRCA1/2 HRD, MMR-D, POLE, APOBEC3A, UV, tobacco, aflatoxin, 5-FU/SBS17b, platinum, colibactin SBS88), routing PARP inhibitor decisions, or auditing de novo extraction vs refit choice for cohort size.

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Use when a UE5 task involves Niagara or Chaos destruction: a Niagara fireball, projectile trail, impact explosion, muzzle flash, spell, smoke, sparks, debris, Niagara fluids or flipbooks; "Niagara is too expensive", stat NiagaraOverview, Effect Types, pooling, Data Channels, lightweight emitters, VFX scalability; judging an effect's readability, value, color, timing, white blowout or strobing; or a wall that shatters, geometry collection fracture, Dataflow, damage thresholds, floating chunks, debris cost, Chaos Visual Debugger.

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Select the right formative assessment technique for a specific learning moment, purpose, and age group. Use when choosing how to check understanding during, between, or after lessons.

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固件 / IoT 渗透链。从拿到一坨 .bin / .img 开始，闭环走完逆向 → 提取 → 模拟 → 利用。 方法论遵循 OWASP FSTM 九阶段；工具链以 binwalk v3、unblob、EMBA、Firmadyne、AFL++ 为主。 适用场景：路由器/摄像头/智能家居固件审计、固件升级包逆向、IoT CVE 复现、嵌入式 0day 挖掘。 触发关键词：固件、firmware、IoT、binwalk、unblob、UART、JTAG、squashfs、UBI、JFFS2、Firmadyne、QEMU 全系统仿真、EMBA、固件渗透、路由器固件、嵌入式漏洞利用、bootloader、NVRAM、FAT、firmware analysis toolkit。

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Use when analyzing binary structure, disassembling code, or decompiling functions. Deep static analysis via radare2 (r2) and Ghidra headless - function enumeration, cross-references (xrefs), decompilation, control flow graphs. Keywords - "disassemble", "decompile", "what does this function do", "find functions", "analyze code", "r2", "ghidra", "pdg", "afl"

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Python Materials Genomics library for structure analysis, thermodynamics, and electronic properties. Parse/create crystal structures (CIF, POSCAR), query Materials Project for DFT-computed properties, analyze phase and Pourbaix diagrams, compute XRD patterns, generate DFT inputs for VASP, Quantum ESPRESSO, CP2K. Alternatives: ASE (MD/geometry), AFLOW (high-throughput), OVITO (visualization).

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Python-based workflow manager for reproducible, scalable pipelines. Define rules with file-based dependencies; Snakemake resolves execution order and parallelism. Runs local, SLURM, LSF, AWS, GCP via profiles; per-rule conda/Singularity envs. For NGS pipelines, ML training, and multi-step file processing. Use Nextflow for Groovy dataflow or nf-core integration.

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