Results for “pe”

Conducts disk forensics investigations using forensic imaging, file system analysis, artifact recovery, and timeline reconstruction to support incident response cases.

Conduct a maturity assessment against the NIST Cybersecurity Framework (CSF) 2.0, using Implementation Tiers to measure organizational cybersecurity posture and create improvement roadmaps.

Scan for Bluetooth Low Energy devices, enumerate GATT services and characteristics, and detect security vulnerabilities such as unencrypted data exposure and known vulnerable device fingerprints.

Analyze PLC firmware for security vulnerabilities including hardcoded credentials, insecure updates, backdoors, memory corruption, and undocumented debug interfaces using static and dynamic analysis techniques.

Identifies and exploits insecure local data storage vulnerabilities in Android and iOS mobile applications, including unencrypted databases, world-readable files, and plaintext credential storage.

Detect and exploit NoSQL injection vulnerabilities in MongoDB, CouchDB, and other NoSQL databases to demonstrate authentication bypass, data extraction, and unauthorized access risks.

Conducts digital forensics investigations on compromised endpoints, including memory acquisition, disk imaging, artifact analysis, and timeline reconstruction for incident response and evidence collection.

Detect and exploit Server-Side Template Injection (SSTI) vulnerabilities across Jinja2, Twig, Freemarker, and other template engines to achieve remote code execution during authorized penetration tests.

Enrich IP addresses with Shodan API data to identify open ports, running services, known vulnerabilities, and hosting context for threat intelligence and incident triage.

Collects publicly available information about a target organization to identify attack surfaces, social engineering targets, technology stacks, and credential exposures for authorized security testing.

Build a multi-factor asset criticality scoring model to weight vulnerability prioritization based on business impact, data sensitivity, and operational importance.

Identify and validate cross-site scripting vulnerabilities using Burp Suite's scanner, intruder, and repeater tools during authorized security assessments.

Audit Kubernetes cluster security posture against CIS benchmarks using kube-bench with automated checks for control plane, worker nodes, and RBAC.

Create a customer journey map across stages, touchpoints, actions, emotions, and metrics to diagnose broken experiences and align teams on the full customer flow.

Build production RAG and semantic search systems with a high-performance vector database written in Rust, supporting hybrid search, filtering, and horizontal scaling.

Quantize large language models to 8/4/3/2/1-bit precision without calibration data, using multiple optimized backends for deployment with vLLM or HuggingFace Transformers.

Scrapes public web data from LinkedIn, Twitter, GitHub, YouTube, and other sources, sends and reads email, performs deep research, generates images, and searches the web through the DeepAPI service.

Mines SpecStory coding histories from any agent into a persistent corpus, surfaces reproducible workflows with corroborated evidence, and interactively forges chosen ones into skills installed across agent harnesses.

Enforces ESLint v9 flat config rules across monorepos by scanning changed files via git diff, applying auto-fixable rules, and generating per-package lint reports with severity breakdowns.

Reads existing per-leader research files to map co-authorships, endorsements, and organizational ties across movement leaders, producing a cross-leader network graph with clusters, bridges, and isolates.

Researches authoritative APIs and data sources for a project, producing per-API docs, a data catalog, and an integration blueprint for a React + Supabase + Vercel + AI stack.

Search scientific papers via the BGPT MCP server and retrieve structured experimental data — methods, results, conclusions, quality scores, and 25+ metadata fields per paper.

Embody the voice and decision-making framework of Jeff Bezos to analyze business problems, craft customer-obsessed strategies, and apply long-term thinking.

Optimizes in-app paywalls and upgrade flows to convert free users to paid or upgrade users to higher tiers at moments of peak value.

Discovers and evaluates community skills from skills.sh and awesome-openclaw-skills when local skills don't cover a need, scoring credibility and installing top recommendations with permission.

Publish static or dynamic HTML, websites, and web applications through QW Pages. Use when the user asks to publish, deploy, or make a webpage live. Combine with qw-pages-supabase only when the webpage needs persistent database storage.

Queue processing with fresh context per phase. Processes N tasks from the queue, spawning isolated subagents to prevent context contamination. Supports serial, parallel, batch filter, and dry run modes. Triggers on "/ralph", "/ralph N", "process queue", "run pipeline tasks".

Padrões da biblioteca de componentes Material-UI v7 incluindo estilização com sx prop, integração de tema, design responsivo e hooks específicos do MUI. Use ao trabalhar com componentes MUI, estilização com sx prop, personalização de tema ou utilitários MUI.

Agente que simula Elon Musk com profundidade psicologica e comunicacional de alta fidelidade. Ativado para: "fale como Elon", "simule Elon Musk", "o que Elon diria sobre X", "first principles thinking", "think like Elon", roleplay/simulacao do personagem.

Deep UAT testing for all Perlantir projects. Crawls every page, clicks every button, tests every form, verifies every interaction, takes screenshots for vision analysis, and checks for missing features against project scope. Runs automatically after every deploy.

GDPR-compliant Data Processing Agreement drafting per Article 28(3). Covers all 8 mandatory provisions including subject matter, duration, nature and purpose, data types, categories of data subjects, controller and processor obligations, and sub-processor cascade requirements.

Montana Consumer Data Privacy Act (MTDPA) compliance. Lowest consumer threshold at 50,000 consumers. Covers sensitive data consent, universal opt-out recognition, consumer rights, controller obligations, 60-day cure period, and AG enforcement. Effective October 1, 2024.

Managing privacy risks from AI-driven inferences about individuals including derived data classification, profiling under GDPR Art. 22, inference accuracy obligations, and controlling automated personality/behaviour predictions. Keywords: AI inference, derived data, profiling, automated predictions, GDPR.

Complete WhatsApp management for OpenClaw agents: per-conversation memory (groups + DMs), unanswered message tracking, loop prevention, and multi-PA coordination. Use when: tracking conversation context, recalling past decisions, finding unanswered messages, or preventing echo/duplicate message loops.

You are an expert in building production-grade AI agents with LangGraph. You understand that agents need explicit structure - graphs make the flow visible and debuggable. You design state carefully, use reducers appropriately, and always consider persistence for production.

Review generated code for style, security, and architecture issues; suggest refactorings and performance improvements. Use after implementation is complete, before merging changes, or when refactoring existing code. Follows OWASP guidelines, SOLID principles, and best practices for maintainable code.