Results for “eval”

Spark by Lightspark: statechain-derived L2 with FROST threshold signatures, leaf architecture, Lightning compatibility. Beta launched April 2025; managed by Spark Operators (SOs). USE WHEN: integrating with Spark, evaluating Spark vs Ark vs Lightning, designing leaf-based UTXO trees.

Generate a Startup Canvas combining Product Strategy (9 sections) and Business Model (costs + revenue) for a new product. An alternative to BMC and Lean Canvas that separates strategy from business model. Use when launching a new product or evaluating a startup concept.

Systematically evaluates Kubernetes cluster security by simulating attacker techniques against the API server, kubelet, etcd, pods, RBAC, network policies, and secrets using tools like kube-hunter, Kubescape, and kube-bench.

High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.

Ruthless product and app critique for Nick's workflow. Use when evaluating an app, landing page, flow, or product experience to identify why users may bounce, distrust it, fail to activate, or never come back. Focus on practical weaknesses, not polite fluff.

Guides implementation of GDPR Article 42-43 data protection certification mechanisms including accredited certification bodies, criteria development, and periodic review. Activate when pursuing privacy certifications, evaluating certification bodies, or developing certification criteria. Keywords: certification, Article 42, Article 43, accreditation, seal, privacy mark.

Per-page UX audit using NN/g heuristics, Intuit microcopy, and Google HEART. Use when evaluating usability, auditing microcopy, checking UX heuristics, or assessing cognitive load. Cross-page flows/IA → audit-ux-journeys. Layout/breakpoints → audit-responsive. Empty/error states → audit-ui-states.

Helps distinguish unilateral from bilateral adrenal disease based on 18-oxocortisol levels, which are typically higher in aldosterone-producing adenoma than idiopathic adrenal hyperplasia. Use when evaluating 18-oxocortisol results during PA workup to guide subtype classification after a positive ARR.

BitVM, BitVM2, BitVM3: off-chain computation framework using optimistic challenge games on Bitcoin script. Foundation for trust-minimized bridges to L2s and PoS chains. USE WHEN: building trust-minimized bridges, understanding ZK rollup peg-out mechanisms, evaluating bridge security models.

Audit Google Cloud Platform environments for security misconfigurations using Forseti, Security Command Center, and gcloud CLI to evaluate IAM policies, firewall rules, storage permissions, and CIS compliance.

Documents MariaDB-specific UPDATE syntax and behavior, including single-table vs multi-table forms, assignment evaluation order, RETURNING with OLD_VALUE(), temporal tables, and common pitfalls. Use when writing, generating, or reviewing UPDATE statements targeting MariaDB.

Benchmarks LLM agents fine-tuned with the Agent Data Protocol across software engineering, web browsing, OS/database tool use, and reasoning tasks, reporting unit test pass rates and task success rates.

Use when planning an ICSE research-track campaign end to end, covering the single-cycle calendar from the June abstract deadline through September response, October decisions, the November revision sprint, artifact evaluation, camera-ready, and the April conference, plus rerouting timelines after rejection.

Use when planning a POPL campaign calendar — backward-scheduling theory and mechanization from the July deadline, riding the October notification into the conditional-acceptance revision and artifact evaluation, landing the January conference, and retargeting across the SIGPLAN/PACMPL deadline wheel if July slips.

Use when planning a SOSP campaign across the annual cycle — back-scheduling from the spring abstract and paper deadlines, running the summer response and July notification, stacking the August camera-ready with artifact evaluation, and retargeting rejections across the SOSP/OSDI/EuroSys circuit.

Automated WCAG 2.2 accessibility audit using playwright-cli to crawl every page, inject axe-core via eval, test keyboard navigation, check color contrast, ARIA labels, and heading order. Use when "audit accessibility", "check a11y", "WCAG audit", "check keyboard nav", or "test screen reader".

This skill guides the simultaneous measurement of serum and urine osmolarity to evaluate polyuria for central diabetes insipidus. It is triggered when a patient presents with polyuria exceeding 50 mL/kg/24 hours or 3.5 L/day in a 70‑kg individual.

Design, implement, and validate reproducible machine-learning pipelines spanning data preparation, training, evaluation, registry, and deployment gates. Use when the user requests an ML pipeline, needs to turn model scripts into an orchestrated workflow, or provides pipeline components that must be connected safely.

Foundational Clojure patterns covering functional programming, REPL-driven development, immutable data structures, and idiomatic code. Use when writing Clojure code, working with sequences and lazy evaluation, understanding macros, or needing guidance on functional programming patterns. This is the entry point for Clojure development.

Identify and evaluate the best go-to-market motions for your product across seven proven approaches, with tools and tactics to build a balanced acquisition strategy.

Evaluates US market bubble risk through quantitative data analysis using the Minsky/Kindleberger framework, scoring indicators like Put/Call ratio, VIX, margin debt, breadth, and IPO data.

Provides domain knowledge of Korean government and private funding program announcement systems, evaluation criteria, and key program characteristics, including TIPS, Early-Stage Startup Package, Startup Growth Technology Development, and AI Voucher.

This skill should be used when the user asks to "perform vulnerability scanning", "scan networks for open ports", "assess web application security", "scan wireless networks", "detect malware", "check cloud security", or "evaluate system compliance". It provides comprehensive guidance on security scanning tools and methodologies.

This skill should be used when the user asks to "perform vulnerability scanning", "scan networks for open ports", "assess web application security", "scan wireless networks", "detect malware", "check cloud security", or "evaluate system compliance". It provides comprehensive guidance on security scanning tools and methodologies.

Deterministically score, route, rank, and select at most one fully vetted Pleasur.ai Stage 01 blog-keyword candidate using product-fit-dominant business value, traffic opportunity, brand fit, DR-relative winnability, and a free-seeker penalty. Use only after BID and AIO evaluation are complete.

Modernize deprecated MATLAB functions and patterns. Use when check_matlab_code or checkcode reports "not recommended" or "to be removed" warnings, when migrating legacy code, or when replacing deprecated APIs (trainNetwork, csvread, xlsread, datenum, eval, subplot, guide, optimset, wavread, svmtrain, uicontrol) with current equivalents.

Run a PDCA quality audit on LLM/AI features: traces, prompts, costs, evals, grounding, hallucination. Use for "audit LLM quality", "check Langfuse", "audit prompts", "check AI quality", "audit AI costs", "check traces". Jailbreak/OWASP LLM → audit-llm-security. Token caps → plan-llm-cost-guardrails.

Drafts evaluation-ready U.S. federal RFP responses across all standard proposal volumes (cover letter, technical, cost/price, reps and certs). Enforces FAR compliance, CPARS references, and Section L/M alignment. Use when preparing federal solicitation submissions, responding to government RFPs, or drafting procurement bids.

Use when the request is broad and spans idea evaluation, MVP planning, UX, frontend, backend, database, auth, integrations, and launch strategy. Trigger on asks like "build this app", "turn this idea into a product", "design the whole system", or "plan everything end to end".

Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: "audit this skill", "is this skill safe", "scan skill for security", "check skill before install", "skill security check", "skill vulnerability scan".

Evaluates Google Cloud workloads against the Cost Optimization pillar of the Well-Architected Framework, identifies cost requirements and constraints, and provides actionable recommendations for building, deploying, and managing workloads cost-efficiently.

Plan and execute a comprehensive red team engagement covering reconnaissance through post-exploitation using MITRE ATT&CK-aligned TTPs to evaluate an organization's detection and response capabilities.

Captures WPA/WPA2 handshakes and performs offline password cracking using aircrack-ng, hashcat, and dictionary attacks during authorized wireless security assessments to evaluate passphrase strength and wireless network security posture.

Evaluates the trade-off between file size reduction and image fidelity when encoding radio astronomy data using JPEG2000, benchmarking both lossless and lossy compression modes to determine the compression ratio at which visual artifacts first appear.

Evaluates computational throughput and real-time efficiency of embedded CPU and GPU platforms by measuring peak FLOPS via a matrix rotation kernel and assessing inference latency and power consumption on a robotic vision pipeline.

Test a pipeline stage's skill file by running the stage WITH and WITHOUT the skill on the same input, comparing outputs, and proposing skill edits. Ryan Law principle 3 — recursive self-improvement. Run after any board complaint about a stage, and monthly per core stage.