Results for “detection”

Deploy honeytokens and canarytokens as decoy artifacts to detect intrusions with near-zero false positives.

Transform threat intelligence and attack patterns into testable hunting hypotheses for proactive threat detection.

Scans copy for AI-generated writing patterns and outputs a diagnostic report. Diagnosis only by default.

Keeps long AI sessions on track by tracking decisions, detecting scope creep, and flagging drift before it costs work.

Analyzes stellar structure, galactic dynamics, orbital mechanics, gravitational lensing, cosmic microwave background, and exoplanet detection methods.

Transforms AI-generated text into authentic, human-sounding writing by detecting AI patterns, fixing rhythm, and injecting brand voice.

Review local branch changes for bugs, security vulnerabilities, and code quality issues using a structured checklist-driven process.

Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it.

Analyzes project memories to detect recurring conventions, rework, and pipeline patterns, then promotes validated patterns to the global CLAUDE.md configuration.

Improves skills by analyzing execution data to identify patterns in successful versus failed runs, staging changes for human approval.

Manage and monitor Flux CD GitOps reconciliation, sources, and Kustomizations on Kubernetes, including Helm releases, image automation, and drift detection.

Governs AI coding agents with safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks to ensure safe, thorough, and honest work.

Enforces evidence-based debugging, safety gates, and anti-slack detection to keep AI agents thorough and honest during code changes.

Query Solana blockchain data with USD pricing — wallet balances, token portfolios with values, transaction details, NFTs, whale detection, and live network stats. Uses Solana RPC + CoinGecko. No API key required.

Design and implement ML operations — model registry, serving patterns, deployment strategies (shadow/canary/blue-green), drift detection, feature stores, retraining triggers, and prediction monitoring. Use when asked to "deploy a model", "model registry", "MLflow", "feature store", "drift detection", "retrain trigger", "shadow mode", "model versioning", "serving infrastructure", or "ML pipeline". Do NOT use for: prompt engineering or RAG pipelines — see prompt-engineering and rag-architect skills. Do NOT use for: general API deployment without an ML component.

Validate skill outputs against assertion manifests to detect regressions, enforce quality gates, and bootstrap starter manifests from historical runs.

Detect business email compromise (BEC) attacks using email gateway rules, behavioral analytics, and financial process controls.

Scan Kubernetes resource manifests with Kubesec to identify misconfigurations, privilege escalation risks, and deviations from security best practices.

Convert daily market observations into structured research tickets and export validated candidate specs for a trading strategy pipeline.

Detect when backtest iteration has stalled and generate structurally different strategy pivot proposals to break out of local optima.

Audit an existing financial model workbook for correctness (formula tracing, hardcode and error detection, sign and consistency checks, tie-outs, and sensitivity stress) before you rely on its outputs.

Use when adding a new agent harness (CLI-based coding agent) adapter to adapters. Covers capability audit, adapter scaffold, session parsing, auth detection, hooks/plugins wiring, tests, and docs.

Performance baseline measurement and regression detection. Use when measuring perf before/after a PR, setting up baselines, investigating "feels slow" reports, validating launch performance targets, or comparing your stack against alternatives.

Detect and triage infrastructure drift by comparing declared Terraform state against live cloud resources using scheduled pipelines and audit logs.

Weekly churn risk detection across active client accounts. Scans for signals like decreased engagement, missed meetings, delayed payments, and competitor mentions. Scores risk 1-10 and outputs prioritized alert list.

Automate browser tasks, scrape websites, fill forms, capture screenshots, and extract structured data from web pages using Playwright.

Deploys Python web apps (Flask, Django, FastAPI) to Azure App Service Linux with automatic resource creation and framework detection.

Searches local, marketplace, GitHub, and web sources for existing skills before creating a new one to avoid duplication.

Process whole slide images for digital pathology: detect tissue, extract tiles, and prepare datasets for deep learning pipelines.

Executes a structured ransomware incident response from initial detection through containment, forensic analysis, decryption assessment, recovery, and post-incident hardening.

Detects ransomware encryption activity in real time using entropy analysis, file system I/O monitoring, and behavioral heuristics.

Proactively hunt for adversary abuse of legitimate system binaries (LOLBins) to execute malicious payloads while evading detection.

Coordinate multi-stage edge research pipelines from candidate detection through strategy design, review, revision, and export.

Posts text, images, videos, and long-form articles to X (Twitter) using a real Chrome browser to bypass anti-bot detection.

Explores a project's real stack and enriches Guild configuration files with detected architecture, conventions, and agent-specific context.

Frontier research tracking and trend scouting specialist. Use when the user asks to talk to Fade, requests the scout, or needs arxiv monitoring, paradigm shift detection, and emerging method analysis.