Results for “persistence”

Detect T1547.001 startup folder persistence by monitoring Windows startup directories for suspicious file creation, analyzing autoruns entries, and using Python watchdog for real-time filesystem monitoring.

Detect and analyze Linux persistence mechanisms including crontab entries, systemd service units, LD_PRELOAD hijacking, bashrc modifications, and authorized_keys backdoors using auditd and file integrity monitoring.

Hunt for adversary persistence through Windows Management Instrumentation event subscriptions by monitoring WMI consumer, filter, and binding creation events that execute malicious code triggered by system events.

Uses the filesystem as a durable overflow layer for agent context, enabling scratch pads, plan persistence, sub-agent communication, dynamic skill loading, and log management.

Systematically remove malware, backdoors, and attacker persistence mechanisms from infected systems while ensuring complete eradication and preventing re-infection.

Automate web browser interactions using natural language via CLI commands. Supports local and remote Browserbase sessions with CAPTCHA solving, residential proxies, and session persistence.

Provides architecture and implementation patterns for building modules with the tinystruct Java framework, covering dual-mode CLI/HTTP actions, JSON serialization, database persistence, MCP tools, and more.

Extract Active Directory credentials via DCSync attacks and establish domain persistence by dumping KRBTGT, Domain Admin, and service account hashes for Golden Ticket creation.

Applies senior Python rules for typing, async, APIs, persistence, tests, packaging, and architecture.

Analyzes UEFI bootkit persistence mechanisms including firmware implants, ESP modifications, Secure Boot bypass techniques, and UEFI variable manipulation. Covers detection of known bootkit families, forensic inspection, and integrity verification.

Detect MITRE ATT&CK T1547.001 registry Run key persistence by analyzing Sysmon Event ID 13 logs and registry queries to identify malicious auto-start entries.

Detect suspicious Windows service installations (MITRE ATT&CK T1543.003) by parsing System event logs for Event ID 7045, analyzing service binary paths, and identifying indicators of persistence mechanisms.

Save information to persistent memory for cross-session recall. Stores preferences, conventions, decisions, and context.

Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.

Persist decisions, preferences, and project state across sessions using structured memory types

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpoin...

Stores verified cross-session facts, decisions, preferences, and open questions without secrets, speculation, or monitoring.

Debug local web or Electron apps interactively using a persistent Playwright session with js_repl, enabling fast iterative UI debugging and visual QA.

Inicializa el ciclo SDD en un proyecto: detecta stack, testing y convenciones, y configura el backend de persistencia.

Persistent cross-session memory management. Enables agents to remember user preferences, project conventions, and past decisions across different sessions using a structured MEMORY.md index and topic files.

SUPERSEDED by persistent-cache-gap-filling (v2.8.0). Cache data during symbol selection for instant repeat runs.

Recursive self-improving holon λ(ο,Κ,Σ).τ' for knowledge compounding and schema evolution. USE WHEN learning, improving, optimizing, assessing, reflecting, debugging, synthesizing, or refining—whether human, AI, or organizational. Triggers on /learn, /compound, /improve, /refine, /optimize, /assess, /reflect, "lessons learned", "best practices", "continuous improvement". Preserves Κ-monotonicity, η≥4, homoiconicity.

Use for writing, reviewing, debugging, or testing bounded retry policies in Python with Tenacity, including retry predicates, stop and wait strategies, jitter, exception propagation, callbacks, Retrying, and AsyncRetrying. Do not use for generic loops, scheduled jobs, domain polling without a retryable operation, or operations whose side effects are not safe to repeat.

Improves measured performance while preserving correctness, reliability, and maintainability.

Memory systems specialist for hierarchical memory, consolidation, and outcome-based learningUse when "memory system, memory hierarchy, memory consolidation, forgetting strategy, salience learning, outcome feedback, temporal memory levels, entity resolution, memory, zep, graphiti, mem0, letta, hierarchical, consolidation, salience, forgetting, ml-memory" mentioned.

Prepare Supabase-compatible persistent storage for a dynamic QW Page. Use with qw-pages when a webpage needs database tables, server-side persistence, Supabase access, or database-backed APIs.

Keep sessions focused and efficient — prune stale outputs, preserve active state, recommend compaction

Investigate retention patterns, cohorts, drivers, warning signs, and intervention options.

Craft messages that are understood, remembered, and drive action using the SUCCESs framework (Simple, Unexpected, Concrete, Credible, Emotional, Stories).

Render WordPress admin notices using core hooks and the 6.4+ helper functions, including dismissal persistence and screen targeting.