「ada」の検索結果

Deep OSINT reconnaissance using the MITRE ATT&CK Reconnaissance framework. Email harvesting with SMTP verification, subdomain takeover detection, certificate transparency mining, Shodan/Censys intelligence, Wayback Machine historical analysis, social media profiling, cloud storage enumeration, document metadata extraction, DNS history, credential leak checks, and passive infrastructure mapping. Uses theHarvester, amass, dnsrecon, fierce, dnstwist, dmitry, whatweb, wafw00f, exiftool, metagoofil, smtp-user-enum, swaks, waybackurls, subfinder, and crt.sh. Pure reconnaissance — no active exploitation. Produces: confidence-scored findings, infrastructure diagram, employee roster, email pattern confirmation, subdomain takeover candidates. Chains into /pentester for active testing.

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。

Perform static reverse engineering and analysis on Windows Portable Executable (PE) files to identify malicious indicators without executing the file. Use this skill during Incident Response, malware triage, or threat hunting to safely extract metadata, imported APIs, exported functions, embedded strings, and packed indicators from suspicious Windows binaries (.exe, .dll, .sys).

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。

Kubernetes penetration testing playbook. Use when targeting Kubernetes clusters via API server, RBAC enumeration, service account abuse, etcd access, Kubelet API, pod escape, cloud-specific metadata, admission webhook bypass, and registry secrets.

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。

Analyze and detect synthetic media, including deepfake videos, AI-generated images, and cloned voice audio. Use this skill when investigating potential disinformation campaigns, verifying the authenticity of digital evidence, or assessing social engineering attacks leveraging synthetic media (e.g., vishing with voice clones, spear-phishing with deepfake video calls). Covers artifact analysis, frequency detection, metadata tracing, and automated detection tools.

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。

Exploit Server-Side Request Forgery (SSRF) vulnerabilities to extract AWS IAM credentials from the Instance Metadata Service version 2 (IMDSv2). This skill details how to bypass the token requirement of IMDSv2 by chaining HTTP verbs (PUT then GET) if the SSRF vulnerability allows full control over the request headers and methods.

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。

Cloud security posture assessment for AWS, Azure, and GCP. Tests IAM privilege escalation paths, public storage exposure, serverless attack surface, database exposure, logging gaps, container registry security, and cloud-specific attacks. Both authenticated (with cloud credentials) and unauthenticated (external) modes. Uses nuclei cloud templates, Prowler, ScoutSuite, manual IMDS/metadata probing, and deep AWS/Azure/GCP CLI enumeration. Produces: cloud architecture diagram, attack path map, findings per category, compliance mapping (SOC 2, PCI DSS 4.0, HIPAA, CIS), PoCs for confirmed exploits. Chains into /gh-export for issue filing.

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。

Container and Kubernetes security assessment. Tests container escape vectors, Docker/containerd socket exposure, K8s RBAC misconfigurations, pod security violations, exposed API servers, etcd access, service account token abuse, image layer secrets, private registry attacks, SSRF to metadata services, cross-namespace network bypass, CIS benchmarks, crypto miner detection, resource exhaustion, and admission controller gaps. Both external and internal (compromised pod) perspectives. Uses trivy, kube-bench, kubectl, nuclei, dive, amicontained, and docker-bench-security. Covers OWASP Kubernetes Top 10 and all 22 Kubernetes Goat attack scenarios.

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。

Activate for any work in the tests/e2e/ directory: creating or editing test files (tests/*.test.ts), page objects (pages/), helpers (helpers/), or vitest config. Enforces agent-browser conventions specific to this project.

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。

Comprehensive ISA-101 design rules for Human Machine Interfaces in process automation, with detailed reference files covering color design, display hierarchy, navigation, alarms, human factors, performance, and lifecycle management. Use when designing, building, reviewing, or generating code for HMIs, control system displays, SCADA screens, or industrial control panels and comprehensive ISA-101 coverage is needed. Use when deep-diving into alarm design, color standards, navigation patterns, human factors, performance requirements, or HMI lifecycle management.

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。

ISA-101 design rules for Human Machine Interfaces in process automation, covering display hierarchy, color standards, alarm integration, navigation, and situation awareness. Use when designing, building, reviewing, or generating code for HMIs, control system displays, SCADA screens, operator dashboards, or industrial control panels. Use when asked about ISA-101, alarm design, operator display hierarchy, or HMI color standards.

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。

Use when building KDE Plasma 6 widgets with a Python backend - plasmoid structure, metadata.json, QML UI, configuration system, plasmapkg2 packaging, KDE Store submission, or plasmoid testing and debugging

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。

Use when validating and serializing Python data with Pydantic v2 - models, field and model validators, constrained and special types, TypeAdapter, discriminated unions, BaseSettings, or FastAPI integration

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。

5-level verification pyramid: static→unit→Playwright E2E (homepage-first, 6bp)→AI visual→post-deploy. 8-check quality gate. Multi-agent testing (functional/security/a11y/performance). Playwright v1.56+ AI agents (Planner/Generator/Healer, v1.63 current). WCAG 2.2 AA via axe-core v4.13. Percy+Chromatic visual regression. ADA Title II 2027/2028 deadlines.

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。

Next.js App Router patterns (15-16) - file-based routing, Server/Client Components, streaming, Suspense, metadata API, parallel routes, Server Actions, mutations, revalidation, Cache Components

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。

MMKV high-performance key-value storage for React Native - synchronous JSI-based reads/writes, encryption, typed hooks, multiple instances, listeners, persistence middleware adapters

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。

Inspect a codebase, a stack the user describes, or a description of what they want to build; map what is there to agents-inc catalog skills — or intent to candidate built-in stacks the user picks from — and emit a SeedPayload plus a human-readable proposal report. Use when seeding a configuration for a project that has none.

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。

VisionCamera v4+ - photo/video capture, QR/barcode scanning, real-time frame processors, zoom/focus/exposure, HDR, location metadata, format selection

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。

Readable functional patterns — orchestrators, pure functions, named abstractions

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。

Pinecone serverless vector database -- index management, vector operations, metadata filtering, namespaces, hybrid search, inference API

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。

Chroma vector database -- collection management, automatic embedding, metadata filtering, document storage, query 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。

Payload CMS v3 — TypeScript-native headless CMS with code-first collections, hooks, access control, Local/REST/GraphQL APIs, admin panel, and database adapter pattern

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。

Auth.js (NextAuth v5) authentication patterns - configuration, providers, session strategies, middleware, database adapters, role-based access, Edge compatibility

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。

Perform a direct five-axis code review across correctness, security, performance, readability, and maintainability. Use when the user asks for `/review`, PR review, security review, pre-merge review, production readiness review, or blocking issue assessment.

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。

Audit technical, on-page, and AI-search SEO for pages, sites, and content. Use when the user asks for `/seo-audit`, `/ai-seo`, SEO review, keyword targeting, heading structure, metadata, internal linking, content gaps, AEO, GEO, LLMO, or competitor SEO comparisons.

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。