Auth/lab ref: enum4linux SMB/Samba enumeration; users, shares, groups, OS info, password policy, null-session evidence.
原文の言語: 英語
メニュー
このリポジトリの skills
SkillsMP は AeonDave/malskill から 327 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
AeonDave/malskill収集済み skill 327 件中 40 件を表示しています。
Auth/lab ref: enum4linux SMB/Samba enumeration; users, shares, groups, OS info, password policy, null-session evidence.
原文の言語: 英語
Auth/lab ref: Inveigh Windows name-resolution assessment; LLMNR/NBT-NS/mDNS/DNS exposure, NTLM evidence, relay-risk notes.
原文の言語: 英語
Auth/lab ref: Kerberos-based user enumeration and password spraying tool for Active Directory.
原文の言語: 英語
Auth/lab ref: LaZagne secret-exposure audit; browser/app/Wi-Fi/Git artifacts, user/admin context, defensive validation evidence.
原文の言語: 英語
Auth/lab ref: NanoDump LSASS acquisition research; handle, fork, minidump, BOF/DLL formats, Windows lab validation and detection evidence.
原文の言語: 英語
Auth/lab ref: PowerView AD reconnaissance; users/groups/computers, ACL/delegation paths, policy checks, domain evidence workflow.
原文の言語: 英語
Auth/lab ref: PrivescCheck Windows privilege review; services, tasks, registry policy, DLL/COM paths, stored-secret indicators.
原文の言語: 英語
Auth/lab ref: Impacket psexec for remote SYSTEM-level shell execution on Windows hosts via SMB.
原文の言語: 英語
Auth/lab ref: BloodHound data collector that gathers Active Directory domain structure, users, groups, computers, ACLs, and testing paths.
原文の言語: 英語
Auth/lab ref: Snaffler AD share audit; accessible shares, sensitive file patterns, secret-risk indicators, evidence reporting.
原文の言語: 英語
Auth/lab ref: Threaded password spraying tool targeting Microsoft 365, Azure AD, ADFS, and on-prem Active Directory.
原文の言語: 英語
Auth/lab ref: Windows patch vulnerability analyzer that identifies missing KB patches and maps to known exploitable CVEs.
原文の言語: 英語
Auth/lab ref: Windows privilege escalation enumeration tool that identifies misconfigurations, weak permissions, unpatched services, and privilege escalation paths.
原文の言語: 英語
Auth/lab ref: 802.11 auditing suite for monitor-mode Wi-Fi assessment, including handshake capture, deauthentication-assisted testing, WEP workflows, injection checks, precomputed PMK cracking, and offline traffic.
原文の言語: 英語
Auth/lab ref: BlueZ Bluetooth stack and CLI workflow: Linux, covering bluetoothctl-driven discovery, pairing, BLE inspection, and low-level troubleshooting utilities.
原文の言語: 英語
Auth/lab ref: Passive wireless sniffer, WIDS, and wardriving platform for Wi-Fi, Bluetooth, Zigbee, and other RF sources.
原文の言語: 英語
Auth/lab ref: CLI-centric Windows Wi-Fi scanning tool exposing richer nearby-network data than built-in commands, including RSSI, security details, information elements, 6 GHz Reduced Neighbor Reports, JSON/CSV export.
原文の言語: 英語
Auth/lab ref: Linux Wi-Fi and Bluetooth analyzer with GPS, remote agent, JSON API, and SDR integrations including HackRF One and Ubertooth.
原文の言語: 英語
Auth/lab ref: Automated Wi-Fi auditing wrapper for WEP/WPA/WPA2/PMKID workflows with minimal operator input.
原文の言語: 英語
Create, validate, and structure CodeMachine AI orchestrator workflow packages. Use when the user asks to build a CodeMachine workflow, write a .workflow.js file, define agents for CodeMachine, scaffold a codemachine package, or create multi-agent pipelines…
原文の言語: 英語
Design and implement local Model Context Protocol (MCP) servers, mainly in Python, using the official SDK and host-integration patterns. Use when building or refactoring MCP servers, choosing between tools/resources/prompts, wiring stdio or local HTTP…
原文の言語: 英語
Use before creative or multi-file implementation work: new features, behavior changes, refactors, new skills, offensive tooling workflows, exploit chains, research pipelines, or architecture decisions. Clarifies intent, scope, alternatives, constraints,…
原文の言語: 英語
Keras model loading and structure-inspection workflow for `.keras`, SavedModel, and HDF5 artifacts. Use when you need to inspect layers, summaries, configs, weights, or quick inference behavior from TensorFlow/Keras model files.
原文の言語: 英語
PyTorch model inspection and checkpoint workflow for loading tensors, `state_dict` data, modules, and parameters. Use when working with `.pt` or `.pth` artifacts, auditing model structure, extracting weights, or scripting inference-oriented inspection of…
原文の言語: 英語
scikit-learn model inspection workflow for loading persisted estimators, pipelines, and tree models. Use when you need to inspect `joblib` or pickle-based model artifacts, view parameters, feature names, importances, or pipeline structure, or run lightweight…
原文の言語: 英語
vec2text: embedding-inversion library for reconstructing approximate text from sentence embeddings. Use when working with saved embedding tensors, privacy/inversion research, or AI/ML challenge workflows where you need to load a corrector model and invert…
原文の言語: 英語
Assembly code testing, debugging, and bug-hunting workflow for hand-written and injected assembly: C/Go harness testing, GDB/LLDB/WinDbg/x64dbg verification, objdump structural analysis, Python helpers (Capstone/Unicorn/Keystone), Frida dynamic…
原文の言語: 英語
C testing workflow for unit and integration tests: deterministic harnesses, CMake/CTest execution strategy, sanitizer-first debugging, and fuzzing escalation. Use when writing or fixing tests for C (C11+) modules, stabilizing flaky suites, or reproducing…
原文の言語: 英語
C++ testing workflow for unit and integration tests: GoogleTest/GoogleMock, CMake/CTest integration, diagnosing flaky tests, and running sanitizers and coverage for correctness signal. Use when writing or fixing C++ tests and test infrastructure.
原文の言語: 英語
Go testing patterns for unit tests, table-driven tests, subtests, test helpers, mocking/fakes, benchmarks, fuzzing, and coverage. Use when writing or reviewing Go tests to improve correctness, stability, and maintainability.
原文の言語: 英語
Python testing patterns with pytest: TDD loop, fixtures, parametrization, mocking, test organization, async testing, coverage, and CI hygiene. Use when writing or reviewing Python tests to improve correctness and reduce flakiness.
原文の言語: 英語
Rust testing patterns for unit, integration, async, doc, property, snapshot, and benchmark-adjacent tests. Use when writing or reviewing tests for `.rs` code, reducing flakiness, designing fixtures/fakes, or improving CI confidence in Rust crates and…
原文の言語: 英語
Root-cause-first debugging workflow for software, exploit tooling, fuzzing harnesses, reverse-engineering helpers, C2/client code, flaky tests, crashes, races, and environment-specific failures. Use when a failure is not immediately obvious or when repeated…
原文の言語: 英語
Use when implementing persistent code, bug fixes, refactors, scripts, exploit tooling, harnesses, or skill utilities before writing implementation code. Applies when tests, reproducers, assertions, or verification can be written first; treat disposable spikes…
原文の言語: 英語
Cross-language testing reliability skill for flaky tests, bad mocks, sleep-based timing, test-only production hooks, brittle fixtures, incomplete fakes, and weak assertions. Use alongside language-specific testing skills when tests pass locally but fail in…
原文の言語: 英語
Idiomatic Rust patterns and best practices for readable, safe, maintainable Rust: ownership, borrowing, API design, enums/traits, error handling, iterators, module layout, and tooling. Use when writing or reviewing `.rs` code, refactoring crates, porting…
原文の言語: 英語
Assembly language patterns, calling conventions, and code structure for x86-64 and ARM64. Use when writing, reviewing, or generating .asm/.s/.S files; when implementing functions that interoperate with C/system code; or when establishing correct prologues,…
原文の言語: 英語
Assembly performance optimization workflow: collect compiler-emitted ASM, classify bottlenecks with TMA, audit for codegen issues (bounds checks, register spills, dependency chains, missed vectorization, memory traffic, bad instruction selection,…
原文の言語: 英語
C language patterns and best practices for safe, maintainable C: ownership, API contracts, error handling, integer safety, portability, and concurrency boundaries. Use when writing or reviewing C code (C11+), designing module interfaces, refactoring legacy C,…
原文の言語: 英語
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls (Dec 2025). Use when writing, reviewing, or refactoring code across any language to avoid hidden assumptions, overengineering,…
原文の言語: 英語