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cccskills

'hash tables' 검색 결과

10건 · 관련도순

Analyze Windows Amcache records to investigate applications, deleted executable traces, and drivers. Extract file details, compare SHA-1 hashes with malware databases, and combine records into a timeline to support incident investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Investigating traces of deleted executables
  • Checking software installed during an incident
  • Comparing file hashes with malware databases
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

Use when you need to hunt in the organisation's own Microsoft Sentinel workspace — sweep the logs for IOC hits (IP, domain, hash, URL, account), hunt behavioural TTPs from MITRE ATT&CK techniques, run KQL against live data, or check which tables the workspace actually ingests. Discovers available tables first and only generates KQL for tables that verifiably exist, so hunts adapt to each environment's connectors. Commonly chained by the /*-investigation skills to answer "were we exposed?". Reads $SENTINEL_TENANT_ID, $SENTINEL_CLIENT_ID, $SENTINEL_CLIENT_SECRET, $SENTINEL_WORKSPACE_ID. Read-only.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Liberty91LTD/cti-skills272026년 9월 30일 업데이트

Expert-level data structures covering arrays, linked lists, trees, heaps, hash tables, graphs, and advanced structures like segment trees, tries, and union-find.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

luokai0/ai-agent-skills-by-luo-kai132026년 5월 6일 업데이트

Build Splunk pipelines that import threat intelligence and match security events against indicators such as malicious IP addresses, domains, and file hashes. Add source, confidence, and severity details so analysts have context when investigating matches.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Importing external threat feeds into Splunk
  • Matching network and endpoint logs against threat indicators
  • Adding threat and asset context to alerts
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

Use this skill when the user is invoking doca_flow_dpa_perf on DPA-capable hardware (ConnectX-7 minimum supported, ConnectX-8 recommended, or BlueField-3) to measure rule update / disable rates on the DPA-offloaded DOCA Flow path — picking the active / passive device split, choosing workload-shape axes (burst, queue, completion threshold, workers, hash pipe algo, PSL tables), or reading Kops/sec iteration stats and the optional self-test. Trigger even when the user does not explicitly mention "doca_flow_dpa_perf" or "DPA Provider" — typical implicit phrasings include "how fast can the DPA program path-selector entries", "baseline rule-update rate on ConnectX-8", "tool reports zero ops on my BlueField", "self-test sentinel never shows on tcpdump", or "is my BlueField-2 DPA-capable". Refuse and route elsewhere for the host / DPU-CPU Flow path (doca-flow-perf), Flow pipeline tuning (doca-flow-tune), writing doca-flow / doca-dpa applications, or DOCA install — those belong to other skills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

NVIDIA/skills3.7천2026년 10월 18일 업데이트

Use when the user wants to pull data out of one or more PDFs (invoices, bank/credit-card statements, receipts, reports, tables) and put it into a spreadsheet. pdf_read is one of the most-used tools; this codifies the read-PDF → structure → write-Excel workflow. Powered by LMCP on macOS and Windows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hashgraph-online/awesome-codex-plugins1.4천2026년 10월 19일 업데이트

element14

무료

Search Newark, Farnell, and element14 for electronic components — find parts by MPN or distributor part number, check pricing/stock, download datasheets, analyze specifications. One unified API covers all three storefronts (Newark for US, Farnell for UK/EU, element14 for APAC). Free API key, simple query-parameter auth, no OAuth. Datasheets download directly from farnell.com CDN with no bot protection. Sync and maintain a local datasheets directory for a KiCad project, or use batch MPN-list seeding (`--mpn-list`) for bulk workflows without a project. Use this skill when the user mentions Newark, Farnell, element14, needs parts from a non-US distributor, wants to compare pricing across regions, or needs datasheets from a source that doesn't require complex API auth. For package cross-reference tables and BOM workflow, see the `bom` skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hashgraph-online/awesome-codex-plugins1.4천2026년 10월 19일 업데이트

lcsc

무료

Search LCSC Electronics for electronic components — find parts by LCSC number (Cxxxxx) or MPN, check stock/pricing, download datasheets, analyze specifications. Sister company to JLCPCB, same parts library. Sync and maintain a local datasheets directory for a KiCad project, or use batch MPN-list seeding (`--mpn-list`) for bulk workflows without a project. No API key needed — uses the free jlcsearch community API. Use this skill when the user mentions LCSC, JLCPCB parts library, JLCPCB assembly parts, production sourcing, Cxxxxx part numbers, needs to find LCSC equivalents for parts, is preparing a BOM for JLCPCB assembly, or wants to download datasheets and LCSC is available. For package cross-reference tables and BOM workflow, see the `bom` skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hashgraph-online/awesome-codex-plugins1.4천2026년 10월 19일 업데이트

mouser

무료

Search Mouser Electronics for electronic components — secondary source for prototype orders. Find parts, check pricing/stock, download datasheets, analyze specifications. Use with KiCad for BOM creation and part selection. Also supports batch MPN-list seeding (`--mpn-list`) for bulk datasheet workflows without a KiCad project. Use this skill when the user specifically mentions Mouser, when DigiKey is out of stock or has worse pricing, when comparing prices across distributors, or when searching for parts that DigiKey doesn't carry. For package cross-reference tables and BOM workflow, see the `bom` skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hashgraph-online/awesome-codex-plugins1.4천2026년 10월 19일 업데이트

Algorithms and data structures from first principles through advanced analysis. Covers sorting (bubble, insertion, selection, merge, quick, heap, radix), searching (linear, binary, BFS, DFS, Dijkstra, A*), fundamental data structures (arrays, linked lists, stacks, queues, hash tables, trees, heaps, graphs, tries), complexity analysis (Big-O, Big-Omega, Big-Theta, amortized), recurrence relations, and algorithm design paradigms (divide-and-conquer, greedy, dynamic programming, backtracking). Use when analyzing, selecting, implementing, or comparing algorithms and data structures.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Tibsfox/gsd-skill-creator712026년 7월 20일 업데이트