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「signatures」の検索結果

501 件 ・ 関連度順

概要と使いどころ

Nature-style hydrology manuscript reviewer skill for testing streamflow, runoff, groundwater, water storage, drought, flood, hydroclimate and water-resource claims against water-balance closure, hydrologic signatures, model structure and observational constraints.

日本語の概要は準備中です。原文の説明を表示しています。

GeoGeekLab/nature-reviewer-skills482026年9月23日 更新

Implement audit trail functionality for R projects in regulated environments. Covers logging, provenance tracking, electronic signatures, data integrity checks, and 21 CFR Part 11 compliance. Use when an R analysis requires electronic records compliance (21 CFR Part 11), when you need to track who did what and when in an analysis, when implementing data provenance tracking, or when creating tamper-evident analysis logs for regulatory submissions.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac372026年10月12日 更新

Work with the @upstash/qstash TypeScript/JavaScript SDK, an HTTP-based message queue, task scheduler, and background job system for serverless and edge runtimes (Next.js, Vercel, Cloudflare Workers, Deno, Node.js). Use when publishing messages to HTTP endpoints or URL groups, running background jobs without a long-running worker process, scheduling with cron expressions, delaying messages, building FIFO queues with parallelism and flow control, configuring retries and callbacks, handling a dead letter queue (DLQ), deduplicating messages, fanning out to multiple endpoints, verifying QStash webhook signatures (Next.js App Router, Pages Router, and Edge Runtime), running a local QStash dev server, or migrating regions. Also use when the user asks for a serverless cron job, async task queue, job scheduler, delayed delivery, webhook delivery with retries, or event-driven messaging between services.

日本語の概要は準備中です。原文の説明を表示しています。

upstash/skills302026年10月6日 更新

Reverse engineers malware written in less-common compiled languages (Nim, Crystal, V, Zig, D) by detecting language-specific runtime signatures, name-mangling, and runtime strings to orient analysis. Activates for requests to reverse Nim malware, identify the source language of an exotic binary, or analyze Crystal/V/Zig/D compiled samples.

日本語の概要は準備中です。原文の説明を表示しています。

meltedinhex/analyst-ai-pack222026年7月7日 更新

Uses YARA to classify and triage samples at scale: applying rule sets, reading matches and string offsets, tuning for false positives, and organizing rules for malware family identification. Activates for requests to scan files with YARA, apply YARA rules, or classify samples by signature.

日本語の概要は準備中です。原文の説明を表示しています。

meltedinhex/analyst-ai-pack222026年7月7日 更新

Writes and validates Suricata/Snort IDS rules for network-based malware detection, covering rule anatomy, content/pcre matching, flow and threshold options, and common mistakes that cause false positives or no matches. Activates for requests to write a Suricata rule, create Snort signatures, or build network detection rules from IOCs or C2 patterns.

日本語の概要は準備中です。原文の説明を表示しています。

meltedinhex/analyst-ai-pack222026年7月7日 更新

Turns reverse-engineering findings into durable YARA detections: selecting stable code constructs and constants over volatile strings, extracting opcode/byte patterns with wildcards, and validating rules for low false positives. Activates for requests to write a YARA rule from reversed code, create a detection signature, or convert RE findings into hunting rules.

日本語の概要は準備中です。原文の説明を表示しています。

meltedinhex/analyst-ai-pack222026年7月7日 更新

Establishes behavioral baselines from historical telemetry (process, network, or logon events) so hunts can flag rare and first-seen activity instead of relying on static signatures. Activates for requests to build a telemetry baseline, find rare or first-seen activity, or compute frequency baselines for anomaly hunting.

日本語の概要は準備中です。原文の説明を表示しています。

meltedinhex/analyst-ai-pack222026年7月7日 更新

Identifies a sample's true file type independent of its extension: matching magic bytes and structural signatures, detecting container/archive formats, and flagging extension-content mismatches used to disguise malware. Activates for requests to identify a file type, check magic bytes, or detect a disguised/spoofed extension.

日本語の概要は準備中です。原文の説明を表示しています。

meltedinhex/analyst-ai-pack222026年7月7日 更新

Hunts for credential dumping by detecting LSASS process access with suspicious access masks, known dumping tool signatures, and comsvcs.exe MiniDump abuse in Sysmon Event ID 10 and process-creation telemetry. Activates for requests to hunt credential dumping, detect LSASS access, or find Mimikatz/comsvcs MiniDump activity.

日本語の概要は準備中です。原文の説明を表示しています。

meltedinhex/analyst-ai-pack222026年7月7日 更新

Statically analyzes macOS Mach-O malware: parsing the header and load commands, handling fat/universal binaries, reading linked dylibs and entitlements, and checking code signatures to infer capability and trust. Activates for requests to analyze a Mach-O binary, inspect macOS malware, or parse load commands and entitlements.

日本語の概要は準備中です。原文の説明を表示しています。

meltedinhex/analyst-ai-pack222026年7月7日 更新

Migrates Android applications from the old, legacy Google Mobile Ads (GMA) SDK (com.google.android.gms:play-services-ads) to the new GMA Next-Gen SDK (com.google.android.libraries.ads.mobile.sdk:ads-mobile-sdk). Provides comprehensive mapping tables for imports, classes, and method signatures to help determine migration steps. Use when migrating an existing Android codebase from the old, legacy GMA SDK to GMA Next-Gen SDK.

日本語の概要は準備中です。原文の説明を表示しています。

vaila-multimodaltoolbox/vaila192026年10月8日 更新

Audit laboratory automation systems -- LIMS architecture, instrument connectivity (SiLA 2, OPC-UA, serial drivers), sample tracking and chain of custody, protocol workflow engines, data acquisition pipelines, and regulatory compliance (21 CFR Part 11 electronic records/signatures.

日本語の概要は準備中です。原文の説明を表示しています。

tinh2/skills-hub-registry192026年9月5日 更新

Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, and deprecated patterns by querying official docs.

日本語の概要は準備中です。原文の説明を表示しています。

jguadagno/jjgnet-broadcast182026年8月4日 更新

mastra

無料

Comprehensive Mastra framework guide. Teaches how to find current documentation, verify API signatures, and build agents and workflows. Covers documentation lookup strategies (embedded docs, remote docs), core concepts (agents vs workflows, tools, memory, RAG), TypeScript requirements, and common patterns. Use this skill for all Mastra development to ensure you're using current APIs from the installed version or latest documentation.

日本語の概要は準備中です。原文の説明を表示しています。

huanshenyi/mastra-book182026年6月30日 更新

Checks layer leakage in method signatures, missing DTOs, entity leakage to API, inconsistent error contracts. Returns findings with penalty-based scoring.

日本語の概要は準備中です。原文の説明を表示しています。

tensology/decisionsai172026年10月13日 更新

Checks cyclomatic complexity, nesting, long methods, god classes, method signatures, O(n²), N+1 queries, constants management. Returns findings.

日本語の概要は準備中です。原文の説明を表示しています。

tensology/decisionsai172026年10月13日 更新

Program language models instead of prompting them — DSPy signatures, modules, and optimizers that tune prompts automatically.

日本語の概要は準備中です。原文の説明を表示しています。

aicodedecode/awesome-muse-skills172026年10月10日 更新

6-lens diagnostic slop audit — unused imports, dead private fns, duplicate signatures, abandoned TODOs, lint bypass markers, stale refs.

日本語の概要は準備中です。原文の説明を表示しています。

mangowhoiscloud/geode152026年10月12日 更新

Drafts a Certificate of Incumbency certifying current officers, directors, and signing authority for a U.S. corporation. Covers exact legal name matching, incumbency tables with specimen signatures, board resolution certification, authority limitations, reliance language, and execution formalities. Use when banks, lenders, investors, or counterparties require verification of corporate authority for closings, financings, or transactions.

日本語の概要は準備中です。原文の説明を表示しています。

CSlawyer1985/legal-skillhub152026年9月23日 更新

Validates and summarizes the four required authorization forms in a personal injury matter (retainer, HIPAA release, insurance authorization, employment record release). Confirms signatures, dates, scope, and completeness to determine readiness for the investigation phase. Use when reviewing client onboarding packets, verifying authorization forms before discovery, or checking HIPAA and record-release compliance.

日本語の概要は準備中です。原文の説明を表示しています。

CSlawyer1985/legal-skillhub152026年9月23日 更新

Produces a plain-language comparison of advance directives and POLST/MOLST forms, covering legal status, clinician signatures, emergency precedence, clinical appropriateness, and document coordination. Use when the user asks about advance directive vs. POLST, living will vs. DNR, which document EMS follows, POLST vs. MOLST vs. POST, whether a healthy person needs a POLST, or document coordination in elder law, estate planning, or serious illness contexts.

日本語の概要は準備中です。原文の説明を表示しています。

CSlawyer1985/legal-skillhub152026年9月23日 更新

Search for raw byte patterns (hex sequences, opcodes) in binary code. Use when looking for specific instruction sequences, machine code patterns, UEFI SMI handlers, or known vulnerability signatures by their byte representation.

日本語の概要は準備中です。原文の説明を表示しています。

vulhunt-re/skills152026年3月8日 更新

Analyzes pooled CRISPR screens with MAGeCK (Li et al 2014), covering count generation (mageck count), the RRA two-condition workflow (mageck test using alpha-RRA over per-sgRNA negative-binomial p-values), the MLE multi-condition workflow (mageck mle with explicit design matrix and beta-score output), normalization choice (median vs total vs control-sgRNA vs spike-in), sgRNA efficiency injection, paired-sample testing, time-course design, drug-screen versus dropout-screen design matrices, MAGeCKFlute and MAGeCK-VISPR downstream visualization, and decision logic for when to use MAGeCK vs JACKS / BAGEL2 / drugZ / Chronos. Use when running a fresh CRISPR screen analysis, picking RRA vs MLE for the experimental design, choosing a normalization method from QC signatures, debugging MLE convergence failure or NaN beta scores, comparing MAGeCK output across tools, or building a batch-aware multi-cell-line / multi-condition MLE design matrix.

日本語の概要は準備中です。原文の説明を表示しています。

lilinji/GeneTind-Life-Skills142026年8月21日 更新