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SkillsMP는 EvezArt/evez-atlas에서 18개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 18개 중 18개를 표시합니다.
Forensic game engine with immutable audit spine, FSC (Failure-Surface Compression), contradiction detection SAT solver, self-play loop, and visual cognition mapping. Runs offline. Zero dependencies beyond Python 3. ClawHub-ready.
원문 언어: 영어
Continuous autonomous falsification system that never stops trying to break your assertions. What survives IS knowledge. What breaks IS discovered weakness. Use when stress-testing smart contracts, AI safety constraints, financial risk models, drug safety, or…
원문 언어: 영어
Prediction market that trades the gap between perception depths. Shadow prices reflect what autonomous agents at different recursion depths can see — the 72% invisible at human depth IS the product. Use when pricing undiscovered correlations, building…
원문 언어: 영어
Self-Falsifying Shadow Market with Topological Authentication. Three systems the internet has never seen, combined into one. Prices the gap between perception depths, authenticates by relational geometry, and is continuously destroyed by a falsification…
원문 언어: 영어
Identity protocol where identity IS topology — the shape of your connections in a hypergraph — not your data, keys, or biometrics. Uses persistent homology (Betti numbers) as identity fingerprints that cannot be forged. Use when building zero-knowledge…
원문 언어: 영어
Discover hidden correlations between disparate research domains using EVEZ OODA loop architecture. Use when finding novel cross-domain connections, detecting emerging technology intersections, cross-referencing threat patterns, identifying investment signals,…
원문 언어: 영어
Runtime assertion system that continuously verifies AI agent invariants — properties that must ALWAYS hold. Use when building reliable autonomous agents, auditing agent behavior for drift, enforcing safety constraints, or building self-certifying AI systems.…
원문 언어: 영어
Security review for OpenClaw skills before installation. Use when evaluating third-party skills for safety, checking permission scope, detecting suspicious patterns, identifying data exfiltration risks, or auditing skill code. Covers static analysis,…
원문 언어: 영어
Connect to the EVEZ AI API — an OpenAI-compatible API that's 99% cheaper than GPT-4. Use when routing LLM calls through EVEZ for cost savings, accessing evez-smart/evez-code/evez-fast/evez-vision models, or building apps on top of EVEZ infrastructure. Free…
원문 언어: 영어
Framework where multiple AI agents debate to reach better conclusions through adversarial reasoning. Use when building multi-agent systems, consensus-seeking AI, red-teaming with structured opposition, or improving LLM output quality through debate. Covers…
원문 언어: 영어
Manage GitHub repositories, pull requests, issues, and workflows from OpenClaw. Use when reviewing PRs, managing issues, automating GitHub Actions, syncing repos, or coordinating multi-repo workflows. Covers PR review automation, issue triage, branch…
원문 언어: 영어
Security review for OpenClaw skills before installation. Use when evaluating third-party skills for safety, checking permission scope, detecting suspicious patterns, identifying data exfiltration risks, or auditing skill code. Covers static analysis,…
원문 언어: 영어
Semantic search engine for codebases that understands intent and finds functionally similar code. Use when searching code by meaning rather than text, finding similar implementations, discovering duplicate logic, or navigating unfamiliar codebases. Covers AST…
원문 언어: 영어
Scalable memory system for AI agents with short-term, long-term, and episodic memory. Use when building agent memory persistence, conversation context management, knowledge retrieval, or episodic recall. Covers Redis-backed short-term memory, vector-based…
원문 언어: 영어
Real-time AI agent safety monitoring, anomaly detection, and constraint enforcement. Use when building agent guardrails, detecting unsafe behaviors, enforcing action limits, or creating safety dashboards for autonomous AI systems. Covers behavior logging,…
원문 언어: 영어
Analyze LLM API usage logs and suggest cost optimizations. Use when you need to reduce LLM spending, compare model costs, find downgrade opportunities, detect caching wins, or compress verbose outputs. Supports OpenAI, Anthropic, Google, DeepSeek, and Meta…
원문 언어: 영어
Build, test, and deploy MCP (Model Context Protocol) tools for developer workflows. Use when creating MCP servers, adding tool definitions, integrating with databases, file systems, or APIs via MCP. Covers TypeScript and Python MCP server scaffolding, tool…
원문 언어: 영어
Visual workflow builder for orchestrating multi-agent systems with branching, parallel execution, error handling, and retry logic. Use when building agent pipelines, DAG-based task orchestration, multi-agent coordination, or complex automation workflows.…
원문 언어: 영어