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Found 271 Skills
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for kernel attack surface, namespace and cgroup boundaries, container isolation assumptions, syscall paths, and escape primitive verification. Use when the user asks to analyze container-to-host escape paths, kernel exploit prerequisites, namespace crossover, capability misuse, or prove whether an exploit primitive crosses the sandbox boundary. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
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.
Analyzes individual security findings to identify and construct complex exploit chains. Use after validation stages to see if multiple low-severity bugs can be combined into a higher impact vulnerability. Don't use for initial codebase auditing or writing patch code.
Performs active security "war gaming" by attempting to exploit identified vulnerabilities in a sandbox. Validates threat reality beyond static scans.
For authorized security review of code, auth, or APIs you control, model the attacker, map the attack surface, and report only findings with a reproducible exploit path and verified mitigation.
Guide for Windows kernel security research including driver development, system callbacks, security features, and kernel exploitation. Use this skill when working with Windows drivers, PatchGuard, DSE, or kernel-level security mechanisms.
Concurrency exploitation — race conditions, TOCTOU vulnerabilities, and parallel request abuse in web applications.
Cursor-native offensive security engagement and exploitability autoresearch orchestrator inspired by offensive-claude. Use for an authorized offensive engagement, red-team or pentest workflow, Kill Chain style assessment, scoped web/network/cloud/mobile/AD/bug-bounty offensive plan, or exploitability validation of defensive findings. In validate-findings mode it runs a bounded, user-controlled autoresearch loop over deduplicated findings: several hypothesis passes / cycles of hypothesize, experiment, observe, refine. Use it whenever the user asks to run an autoresearch loop, an iterative or multi-pass hypothesis loop, or to loop or iterate over findings for a set number of cycles. Supports engagement mode and validate-findings mode. Instruction-only: ships no scanners, exploit runners, payload builders, or local scripts.
This skill should be used when the user asks to "simulate attacks", "build attack trees", "model exploit chains", "score exploitability", or is running PASTA stage 6. Also triggers when the user asks about attack scenarios, red team simulation, DREAD scoring, or detection gap analysis in a threat modeling context. Part of the PASTA threat modeling methodology (Stage 6 of 7).
Comprehensive vulnerability assessment and penetration testing skill leveraging Secator, NetExec, Metasploit, and raw Python for advanced exploitation chaining across Linux, Windows, Unix, macOS systems, network devices (switches, routers, firewalls), protocols, webapps and APIs (REST, GraphQL, gRPC). Uses OSSTMM and OWASP standards. Supports blackbox, greybox, and whitebox pentests with false-positive resistance, verified exploit confirmation, detailed step-by-step remediation, and full documentation. Use when performing security assessments, penetration tests, vulnerability scans, exploit validation, network enumeration, or security auditing.
Anti-exploit design - never trust the client, validate every remote argument (NaN, spoofed instances, strings), rate limiting, ProximityPrompt/ClickDetector abuse, network ownership, movement and hit validation, economy/trade duplication, code confidentiality, secure teleports, heuristics, Ban API. Use when writing server handlers for client input, combat/economy/trading, or reviewing for exploits.
Smart contract security testing and blockchain CTF exploitation. Covers Solidity vulnerability analysis, EVM storage manipulation, delegatecall attacks, CREATE/CREATE2 address prediction, and common DeFi exploit patterns. Use when analyzing Solidity contracts, solving blockchain challenges, or testing smart contract security.