搜索「Financial Analysis」的结果

io.github.affaan-m/ECC/laravel-verification

Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.

io.github.affaan-m/ECC/laravel-verification

Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.

io.github.tirth8205/code-review-graph/refactor-safely

Plan and execute safe refactoring using dependency analysis

io.github.transilienceai/communitytools/mobile-security

Mobile application security testing (Android + iOS) mapped to OWASP MASVS/MASTG — static reversing (Flutter AOT, Unity IL2CPP, React Native/Hermes, native ARM64, Mach-O/Swift), SAST (manifest/IPC, storage, crypto, signing), dynamic analysis (Frida/objection, TLS-pinning + root/jailbreak bypass, traffic interception), and privacy testing.

io.github.gmh5225/awesome-game-security/mobile-security

Guide for Android and iOS game security, reversing, and anti-cheat-adjacent platform research. Use this skill when working with APK or IPA analysis, IL2CPP mobile titles, Frida, Zygisk or Magisk, jailbreak or root detection bypass, Android kernel modules, emulator detection, or mobile anti-cheat systems.

io.github.ccxt/ccxt/ccxt-python

CCXT cryptocurrency exchange library for Python developers. Covers both REST API (standard) and WebSocket API (real-time). Helps install CCXT, connect to exchanges, fetch market data, place orders, stream live tickers/orderbooks, handle authentication, and manage errors in Python. Use when working with crypto exchanges in Python projects, trading bots, data analysis, or portfolio management. Supports both sync and async (asyncio) usage.

io.github.HoangNguyen0403/agent-skills-standard/nextjs-tooling

Configure Next.js build tooling, deployment, and developer workflow. Use when setting up Turbopack, standalone Docker output, bundle analysis, CI caching, environment variable validation, or ESLint integration for Next.js projects.

io.github.glebis/claude-skills/automation-advisor

Interactive automation decision advisor using the Automation Decision Matrix framework. Use when the user asks "should I automate this?", wants to evaluate an automation opportunity, calculate automation ROI or break-even, or requests an automation decision analysis. Guides a structured questionnaire, scores four dimensions, applies override checks, and generates an Obsidian-formatted report with a visual decision diagram.

io.github.danielmiessler/LifeOS/Apify

Scrapes social platforms, business data, and e-commerce via Apify actors — Instagram, LinkedIn, TikTok, YouTube, Facebook, Google Maps, Amazon, and web crawls — filtering in code. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Facebook, Google Maps leads, Amazon reviews, business intelligence, multi-platform social listening, competitive analysis, lead generation, social monitoring, Apify actors, web crawl, extract contacts. NOT FOR X/Twitter operations (use _X), 4-tier progressive scraping with proxy escalation (use BrightData), or real-Chrome bot bypass and computer use (use Interceptor).

io.github.aiskillstore/marketplace/mobile-debugging

Debug React Native apps including metro bundler issues, native errors, performance problems, and crash analysis. Use when troubleshooting errors or investigating issues.

io.github.microsoft/skills-for-fabric/sqldb-operations-cli

Diagnose SQL database in Fabric performance via sqlcmd against Query Store, DMVs, sys.dm_db_resource_stats, and Extended Events on the OLTP endpoint. Identifies the top resource-consuming, slowest, or most expensive queries and handles query-performance ranking, blocking-chain, missing-index, and plan-regression diagnostics. For routine data queries use the sqldb-consumption-cli skill; for schema changes use the sqldb-authoring-cli skill. Triggers: "query store slow query analysis sqldb top queries", "top resource-consuming queries from query store sqldb", "slowest queries sql database in Fabric query store", "most expensive queries sqldb query store", "sql database in Fabric blocked sessions head blocker chain sqlcmd", "sqldb missing index recommendation", "sqldb regressed plan instability sqlcmd", "sqldb extended events trace".

io.github.lobehub/lobehub/agent-tracing

Agent tracing CLI for execution snapshots. Use for agent-tracing, traces, snapshots, LLM call inspection, context engine data, agent step analysis, execution debugging, or pulling remote/production traces ("拉线上 tracing") by operation id. Also the first stop for debugging agent tool calls — wrong or missing tool_calls, unexpected tool arguments or results, which tools were available at a step, or why a tool ran where it did.

io.github.PurpleAILAB/Decepticon/mobile

Use when the engagement target is an Android (APK / AAB) or iOS (IPA) application. Covers static analysis (jadx, apktool, class-dump), dynamic instrumentation via Frida and Objection, SSL-pinning bypass, root/jailbreak detection bypass, deep-link / URL-scheme abuse, exported-component attacks, IPC redirection, WebView vulnerabilities, and biometric / Face ID / Touch ID bypass.

io.github.Dynatrace/dynatrace-for-ai/dt-obs-kubernetes

Kubernetes cluster, pod, node, and workload monitoring. Use when analyzing K8s health, resource optimization, pod failures, OOMKills, scheduling, or security posture. Also use for Kubernetes operational events like pod restarts, OOM events, evictions, and cluster event history. Trigger: "Kubernetes pods", "K8s cluster health", "OOMKill", "pod restarts", "container CPU", "namespace resource usage", "over-provisioned pods", "privileged containers", "pod placement", "K8s node capacity", "running containers by cluster", "workload scheduling", "pod evictions", "K8s labels and annotations", "kubernetes events", "pod restart events", "OOM events", "K8s event history". Do NOT use for explaining existing queries, product documentation questions, AWS-specific resource queries, service-level RED metrics, distributed tracing, or log analysis — use the relevant skill instead.

io.github.microsoft/skills/deploy-model

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).

io.github.sickn33/antigravity-awesome-skills/code-showcase-systematic-debugging

Four-phase debugging methodology with root cause analysis. Use when investigating bugs, fixing test failures, or troubleshooting unexpected behavior. Emphasizes NO FIXES WITHOUT ROOT CAUSE FIRST.

io.github.mohitagw15856/pm-claude-skills/sql-optimizer

Diagnose a slow SQL query and produce a concrete optimization plan. Use when asked to optimize SQL, speed up a slow query, reduce a query's cost/scan, fix a timeout, or review a query plan. Produces an analysis — the likely bottleneck, what the plan is doing wrong (full scans, bad joins, spills), the specific rewrite and index/partition changes, and the expected impact, with the optimized query.

io.github.netdata/netdata/codacy-audit

Codacy Cloud workflow for this repository -- run Codacy's analyzers locally before `git push` (mirrors what Codacy CI runs), and fetch/cluster Codacy issues for any PR via the v3 API. Use when the user mentions Codacy, "codacy analysis", `codacy-analysis-cli`, "codacy issues on PR", "fix codacy CI", "codacy markdownlint findings", or any Codacy gate failing on a netdata-org PR. Ships scripts analyze-local.sh (docker/binary runner for codacy-analysis-cli) and pr-issues.sh (paginated v3 issue fetch + group-by tool/pattern/severity/file). Token-safe -- CODACY_TOKEN never reaches assistant-visible stdout. Read-only by design; write actions (mark FP, mark fixed) require a GitHub issue or branch-local SOW.

io.github.borghei/Claude-Skills/database-designer

Database design with schema analysis, index optimization, and migration generation for PostgreSQL, MySQL, MongoDB, and DynamoDB. Use when designing schemas, optimizing queries, planning migrations, or analyzing database performance.

io.github.mukul975/Anthropic-Cybersecurity-Skills/detecting-mobile-malware-behavior

Detects and analyzes malicious behavior in mobile applications through behavioral analysis, permission abuse detection, network traffic monitoring, and dynamic instrumentation. Use when analyzing suspicious mobile applications for data exfiltration, command-and-control communication, credential stealing, SMS interception, or other malware indicators. Activates for requests involving mobile malware analysis, app behavior monitoring, trojan detection, or suspicious app investigation.

io.github.mukul975/Anthropic-Cybersecurity-Skills/deploying-ransomware-canary-files

Deploys and monitors ransomware canary files across critical directories using Python's watchdog library for real-time filesystem event detection. Places strategically named decoy files that mimic high-value targets (financial records, credentials, database exports) in locations ransomware typically enumerates first. Monitors for any read, modify, rename, or delete operations on canary files and triggers immediate alerts via email, Slack webhook, or syslog when interaction is detected, providing early warning before full encryption begins.

io.github.jeremylongshore/claude-code-plugins-plus-skills/wondelai-design-sprint

Run a structured 5-day process to prototype, test, and validate product ideas with real users. Use when the user mentions "design sprint", "validate in a week", "rapid prototype", "test with users", "de-risk before building", "GV sprint", "prototype testing", or "design workshop". Also trigger when a team needs to make a critical product decision quickly, resolve stakeholder disagreements, or test risky ideas before investing in development. Covers mapping, sketching, deciding, prototyping, and testing. For ongoing experimentation, see lean-startup. For customer job analysis, see jobs-to-be-done.

io.github.PurpleAILAB/Decepticon/mobile-security

Mobile application security reconnaissance — APK/IPA analysis, permission enumeration, certificate validation, hardcoded secret detection, insecure storage identification, network security analysis.

io.github.rmyndharis/antigravity-skills/database-optimizer

Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration strategies, and performance monitoring. Use PROACTIVELY for database optimization, performance issues, or scalability challenges.