Results for “uncertainty-register”

Identify, assess, and mitigate project risks across technical, scope, dependency, and timeline categories using a structured register and escalation rules.

Sincroniza el registro central de skills con AGENTS.md y registry/AGENT_REGISTRY.md, detectando skills huérfanas o faltantes y auditando el ecosistema.

Register a deferred decision in the debt registry. Trigger by judgment, not a marker scan, whenever a future reader would ask "why this way?": an unmade decision, stub, loosened type, bypassed check, swallowed error, a default picked "for now", or a TODO/FIXME/HACK/XXX marker. Trigger immediately whenever you defer work, or when the user invokes $add. Over-register freely; the developer drops with "drop A", "drop A,C", or "drop all".

Broad risk assessment — key-person, technical, regulatory, competitive, financial, and execution risks beyond product/market

Audits Rust codebases for safe/unsafe boundary issues, memory safety in unsafe blocks, concurrency hazards, panic-induced DoS, FFI safety, and async runtime mistakes.

Detects fail-open insecure defaults (hardcoded secrets, weak auth, permissive security) that allow apps to run insecurely in production. Use when auditing security, reviewing config management, or analyzing environment variable handling.

Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.

Register AI agents on Ethereum mainnet using ERC-8004 (Trustless Agents). Use when the user wants to register their agent identity on-chain, create an agent profile, claim an agent NFT, set up agent reputation, or make their agent discoverable. Handles bridging ETH to mainnet, IPFS upload, and on-chain registration.

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.

Audit Microsoft Entra ID (Azure Active Directory) configuration for risky authentication policies, over-privileged role assignments, stale accounts, conditional access gaps, and guest user risks using PowerShell, Graph API, and ScoutSuite.

Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication logs.

Hunt for registry-based persistence mechanisms including Run keys, Winlogon modifications, IFEO injection, and COM hijacking in Windows environments.

Debt that exists only in engineers' heads cannot be prioritised, funded, or

Use when creating, maintaining, or reviewing records of actions, decisions, changes, and events for compliance, accountability, and investigation purposes. This skill provides procedures for managing audit trails across all agent activities.

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.

Prüft Handelsregister- und Registerabrufe in Corporate/M&A-Mandaten: Frist, Form, Zuständigkeit, Rechtsweg und Sofortmaßnahmen; liefert eine Fristen- und Risikoampel mit Sofortschritten.

Detect insider threats by modeling normal user and entity behavior with Elasticsearch, computing anomaly scores, and correlating low-confidence indicators into high-confidence alerts.

Track legislation, regulatory actions, and legal developments affecting prediction markets, crypto, and AI agents, with stage, impact, affected protocols, and operator actions.

Detect risky OAuth application consent grants in Azure AD / Microsoft Entra ID using Microsoft Graph API, audit logs, and permission analysis to identify illicit consent grant attacks.

Register AI agents on Ethereum mainnet with a verifiable on-chain identity using ERC-8004, including bridging ETH, IPFS upload, and on-chain registration.

Create or update a runbook for an operational scenario — an incident an alert fires for, a recurring scheduled task, or a known failure mode on a live service — using a consistent template. Use when writing, drafting, authoring, or updating a runbook for an alert, incident, on-call procedure, scheduled maintenance, or operational SOP. Applies a YAGNI preflight requiring the scenario to be real before producing the runbook. Does not produce feature or system documentation — use project-documentation. Does not record architectural decisions — use architectural-decision-record. Does not create coding standards — use coding-standard.

Identify at-risk customer accounts by analyzing usage patterns, engagement signals, and support history to generate churn risk scores and intervention recommendations. Use when the user requests churn analysis or provides relevant inputs for this workflow.

VALIS registration for CODEX: rigid + non-rigid with tuned smoothing. Earlier 'rigid-only' conclusion was caused by a parameter passing bug — all non-rigid tests ran with unsmoothed OpticalFlowWarper.

Prevent Kubernetes hallucinations by diagnosing and fixing failure modes: insecure workload defaults, resource starvation, network exposure, privilege sprawl, fragile rollouts, and API drift. Use when generating, reviewing, refactoring, or migrating manifests, Helm charts, Kustomize overlays, cluster policies, and platform-specific Kubernetes work for EKS, GKE, AKS, OpenShift, GitOps controllers, or observability stacks.

Evaluates account-level drawdown and losing-streak rules from local thesis files to decide whether new trade risk is allowed, without external APIs.

Run a structured churn-save play for an at-risk account to diagnose root cause and reverse the decision.

Surface and clarify unknowns before prompting, log deviations during implementation, and verify understanding after, using HTML artifacts that pair prompts with outputs.

Audit agent skills, plugins, prompts, manifests, scripts, dependencies, and bundled assets for provenance, prompt-injection, permission, execution, exfiltration, persistence, and update risk. Use when evaluating a third-party skill before installing, enabling, updating, publishing, or distributing it; reviewing an untrusted SKILL.md, agent configuration, MCP integration, archive, or repository; comparing a package with a known-good version; or investigating unexpected tool, network, credential, or filesystem behavior.

Design and implement Monte Carlo methods for uncertainty quantification, risk analysis, and probabilistic simulations across scientific and financial domains. Use when "monte carlo, random sampling, uncertainty quantification, risk analysis, stochastic simulation, MCMC, variance reduction, probabilistic, " mentioned.

Use this skill for checkout trust, fraud friction, payment clarity, policies, risk-reducing UX. Trigger when the task involves web design work related to Checkout Trust Risk UX, implementation, audits, debugging, strategy, or validation.

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.

Use with named Profiles for one narrow engineering decision; do not use without the registered trigger or as the primary task owner.

Updates skill documentation and templates to require agents to use their real identity in worklogs instead of hardcoded placeholders.

Maintains the GDPR Article 33(5) breach register documenting all personal data breaches regardless of whether supervisory authority notification was required. Covers mandatory register fields including facts, effects, and remedial actions, retention periods, audit readiness, and integration with the accountability framework. Keywords: breach register, Article 33(5), breach documentation, accountability, audit readiness, remedial actions.

Map product assumptions by risk, confidence, evidence, and next validation step.