Cloud security attack methodology covering AWS, Azure, and GCP. Includes credential harvesting (IMDS, ~/.aws, env vars, leaked CI secrets, instance roles), enumeration with cloud-specific tools (pacu, ScoutSuite, Prowler, ROADtools, gcp_enum), privilege escalation paths (IAM PassRole, AssumeRole chains, Lambda/Functions privilege flips, Azure Owner-on-self, GCP serviceAccountTokenCreator), persistence techniques (IAM user/key creation, AAD app registration, GCP svc account key creation, EventBridge/Logic Apps backdoors), data exfiltration (S3/Blob/GCS, snapshot share, RDS/CosmosDB/Cloud SQL exfil), cloud-native lateral movement (cross-account assume, Azure AD multi-tenant, GCP project hierarchy), serverless attacks (Lambda env vars, layer hijack, Step Functions), Kubernetes-on-cloud (EKS/AKS/GKE-specific paths to node and AWS metadata), and CSPM evasion (CloudTrail blind spots, GuardDuty mute, Sentinel rule shaping). Use when the engagement scope is cloud accounts, when you've stolen cloud credentials, or when assessing cloud posture.
日本語の概要は準備中です。原文の説明を表示しています。
SnailSploit/Claude-Red☆ 7,5102026年10月13日 更新
Comprehensive Linux privilege escalation methodology for offensive security engagements. Covers the full attack surface from a low-privilege shell to root: SUID/SGID binary abuse via GTFOBins, Linux capabilities exploitation (cap_setuid, cap_dac_override, cap_dac_read_search), sudo misconfigurations including NOPASSWD rules and Baron Samedit (CVE-2021-3156), cron job abuse through writable scripts, PATH hijacking, and wildcard injection with tar/rsync/chown. Includes writable /etc/passwd attacks, NFS no_root_squash exploitation, kernel exploits (DirtyPipe CVE-2022-0847, DirtyCow CVE-2016-5195, PwnKit CVE-2021-4034), Docker group container escapes, LD_PRELOAD and LD_LIBRARY_PATH hijacking for shared library injection, systemd service misconfigurations, and sensitive file enumeration for credential harvesting. Integrates automated enumeration with LinPEAS, linux-exploit-suggester, pspy for process monitoring, and GTFOBins for binary exploitation. Each technique includes detection signatures and defender-side visibility to support purple team operations. Maps to MITRE ATT&CK T1548 (Abuse Elevation Control Mechanism) and related sub-techniques. Designed for authorized penetration testing, red team engagements, and CTF competitions where you hold a low-privilege shell and need to escalate to root.
日本語の概要は準備中です。原文の説明を表示しています。
SnailSploit/Claude-Red☆ 7,5102026年10月13日 更新
Mobile (Android + iOS) application penetration testing methodology. Covers static analysis (apktool/jadx for Android, class-dump/Hopper/IDA for iOS), dynamic instrumentation with Frida and Objection, SSL pinning bypass strategies, root/jailbreak detection bypass, deep-link / URL-scheme abuse, exported component attacks (Android activities, services, providers, receivers; iOS XPC, URL schemes, universal links), insecure data storage (SharedPrefs, KeyStore misuse, NSUserDefaults, Keychain ACL bypass), IPC / Intent redirection, WebView vulnerabilities (JavaScriptInterface, file:// access), Firebase/AWS/Azure misconfiguration leakage, mobile API testing, biometric/Face ID/Touch ID bypass, app-cloning and runtime patching, and mobile malware/RAT analysis primitives. Use for mobile pentest, bug bounty mobile triage, or app-store reconnaissance.
日本語の概要は準備中です。原文の説明を表示しています。
SnailSploit/Claude-Red☆ 7,5102026年10月13日 更新
Use when designing, reviewing, or debugging how an agent's context window gets filled, pruned, or shared — choosing what loads at boot versus on demand, sizing an install or an always-loaded file, fixing an agent that drifts, repeats itself, or forgets constraints mid-task, planning compaction or summarization, deciding single-agent versus subagents, engineering handoffs between agents, or picking a tool loadout. NOT for rewording a prompt's tone, choosing which model to pin, or debugging business logic — those are adjacent moments this skill does not serve. Historical 2024–2025 snapshot; not normative for present-day frontier models — see the Status section.
日本語の概要は準備中です。原文の説明を表示しています。
mvschwarz/openrig☆ 7,4522026年10月14日 更新
Gather and distill context from meetings, competitors, regulatory sources, and internal discussions. Produces background.md for a feature and updates shared context docs when new knowledge is discovered.
日本語の概要は準備中です。原文の説明を表示しています。
mvschwarz/openrig☆ 7,4522026年10月14日 更新
Use when Product Design is explicitly invoked, or when the user's main goal is to explore a design, research UX, audit or critique a flow, faithfully clone a visual source, check a built design, or share a prototype. Do not use Product Design for ordinary implementation unless the user explicitly asks for it.
日本語の概要は準備中です。原文の説明を表示しています。
openai/plugins☆ 7,4432026年10月8日 更新
Capture a website and create a HyperFrames video from it. Use when: (1) a user provides a URL and wants a video, (2) someone says "capture this site", "turn this into a video", "make a promo from my site", (3) the user wants a social ad, product tour, or any video based on an existing website, (4) the user shares a link and asks for any kind of video content. Even if the user just pastes a URL — this is the skill to use.
日本語の概要は準備中です。原文の説明を表示しています。
openai/plugins☆ 7,4432026年10月8日 更新
Build React-hosted 3D browser games with React Three Fiber. Use when the user wants pmndrs-based scene composition, shared React state, and 3D HUD integration inside a React app.
日本語の概要は準備中です。原文の説明を表示しています。
openai/plugins☆ 7,4432026年10月8日 更新
Use connected Google Drive as the single entrypoint for Drive, Docs, Sheets, and Slides work. Use when the user wants to find, fetch, organize, share, export, copy, or delete Drive files, or summarize and edit Google Docs, Google Sheets, and Google Slides through one unified Google Drive plugin.
日本語の概要は準備中です。原文の説明を表示しています。
openai/plugins☆ 7,4432026年10月8日 更新
Validate whether an analysis is accurate, well-supported, and ready to share or use for a decision. Use when reviewing methodology, calculations, comparisons, visuals, caveats, or conclusions.
日本語の概要は準備中です。原文の説明を表示しています。
openai/plugins☆ 7,4432026年10月8日 更新
Guide for writing Expo native modules and views using the Expo Modules API (Swift, Kotlin, TypeScript). Covers module definition DSL, native views, shared objects, config plugins, lifecycle hooks, autolinking, and type system. Use when building or modifying native modules for Expo.
日本語の概要は準備中です。原文の説明を表示しています。
openai/plugins☆ 7,4432026年10月8日 更新
Review Python code for bugs, missing tests and security issues using the team's shared standards
日本語の概要は準備中です。原文の説明を表示しています。
kyegomez/swarms☆ 7,2562026年10月14日 更新
When the user wants to build a partner program, launch an affiliate program, design integration partnerships, or create distribution partnerships. Also use when the user mentions 'partnerships,' 'affiliate program,' 'referral program,' 'partner ecosystem,' 'integration partner,' 'reseller,' 'co-marketing,' 'PartnerStack,' or 'revenue share.' This skill covers partner and affiliate program design from recruitment through performance optimization. Do NOT use for technical implementation, code review, or software architecture.
日本語の概要は準備中です。原文の説明を表示しています。
tech-leads-club/agent-skills☆ 7,0572026年10月9日 更新
Runs a sequenced monolith-to-modular pipeline that sizes and inventories components, finds shared domain duplication, addresses flattening and hierarchy issues, analyzes coupling, then groups components into candidate domain-aligned units, with optional embedded DDD strategic analysis for bounded contexts. Use when asking how to split a monolith, size components before extraction, find duplicated domain logic, clean up module hierarchy, measure coupling between modules, or group components into services. Do NOT use for phased extraction roadmaps or prioritization without the prior analysis steps (use decomposition-planning-roadmap after this pipeline), end-to-end legacy migration strategy writeups (use legacy-migration-planner), pure infrastructure capacity sizing, or when you only need DDD without the structural pipeline (install domain-analysis standalone).
日本語の概要は準備中です。原文の説明を表示しています。
tech-leads-club/agent-skills☆ 7,0572026年10月9日 更新
Finds duplicate business logic spread across multiple components and suggests consolidation. Use when asking "where is this logic duplicated?", "find common code between services", "what can be consolidated?", "detect shared domain logic", or analyzing component overlap before refactoring. Do NOT use for code-level duplication detection (use linters) or dependency analysis (use coupling-analysis).
日本語の概要は準備中です。原文の説明を表示しています。
tech-leads-club/agent-skills☆ 7,0572026年10月9日 更新
Use the 35 installed native business diagram components in the active iPolloWork video project. Edit their native text, graphics, shared data forms and seekable GSAP timelines with the standard Video Studio workflow.
日本語の概要は準備中です。原文の説明を表示しています。
Devin-AXIS/iPolloWork☆ 6,9592026年10月13日 更新
Develop or update reusable visual components for iPolloWork Video, including maps, charts, rankings, diagrams, openings and endings. Use for component authoring rules, manifests, editable variables, shared data forms, inherited design themes, AI editing slots and seekable HyperFrames timelines. Not for producing a whole video, authoring a full-project template, or packaging a DeepSeek host plugin.
日本語の概要は準備中です。原文の説明を表示しています。
Devin-AXIS/iPolloWork☆ 6,9592026年10月13日 更新
Build, integrate, audit, or refactor rigged monsters for Three.js and web action games. Use for monster asset contracts, procedural or imported creature rigs, semantic joints and sockets, hurtboxes and attack volumes, combat animation states, enemy-runtime adapters, LODs, deterministic review fixtures, and validating that every monster follows one shared system.
日本語の概要は準備中です。原文の説明を表示しています。
MengTo/Skills☆ 6,7582026年10月6日 更新
Build the effects of a fire skill as one visual language in Three.js. Flames that read as fire, not as orange fog or cones: ray-marched flame volumes whose turbulence rises with buoyancy (slow at the root, accelerating and stretching as it climbs) instead of scrolling, a temperature ramp from a white-hot core a little above the fuel through yellow and orange to deep red tips, broad brighter licks inside, walls of fire broken into clumps of separate tongues of very different heights with notches between them and licks that detach and go out, a fire whirl wound in helical sheets with a waist and a blue root; charcoal smoke drawn premultiplied over the frame and lit only by the fire (cauliflower billows for a burst, a thin streaked curtain off a grass-fire front, fibrous wisps off small fires, ragged hot cracks inside a burst's smoke); embers and sparks that drift on a curl field, cool from white through orange to red and fall as ash; heat haze as refraction; firelight shared with the world; a world-space heat map that makes the ground's needles smoulder as hairlines and its pockets breathe; and gentle ink impact frames limited to three flashes a second. Use for fire or flame skills, fireballs, fire waves or breath, rings of fire, fire tornadoes or whirls, burning ground, wildfire fronts, smoke columns, embers, smouldering aftermath, "fire and smoke", "realistic fire", "flame thrower", "inferno", "burning field" or "skill effects only". Includes a reusable module and a five-beat demo on a scanned CC0 burned-ground floor with failure-mode switches.
日本語の概要は準備中です。原文の説明を表示しています。
MengTo/Skills☆ 6,7582026年10月6日 更新
Package a finished local project into an intentional GitHub repository, create a strong README and visual preview, push it safely, configure a public GitHub Pages URL when the project is compatible, and verify the deployed result. Use when a user asks to upload, publish, open-source, share, or turn a local HTML/CSS/JavaScript experiment or small web project into a documented GitHub repository with a live demo.
日本語の概要は準備中です。原文の説明を表示しています。
MengTo/Skills☆ 6,7582026年10月6日 更新
Build recognizable falling leaves in world space using instanced geometry, independent tumble, coupled sideways drift, shared wind, scene occlusion, and camera-aware recycling. Use for 3D autumn leaves or drifting foliage in Three.js and similar scenes; use falling-leaves for a 2D canvas overlay.
日本語の概要は準備中です。原文の説明を表示しています。
MengTo/Skills☆ 6,7582026年10月6日 更新
Yellow Network Protocol app sessions for AI agents - a shared room where several agents pool funds, reallocate off-chain at machine speed, and settle one final split. Use for multiparty settlement among agents. Covers connecting, the funded-account prerequisite, creating a session with participants + weights + quorum, deposit, operate, withdraw, close, and the trust boundary. Grounded in the official @yellow-org/sdk lifecycle example.
日本語の概要は準備中です。原文の説明を表示しています。
internet-court/internet-court-skill☆ 6,7402026年8月20日 更新
Solana vault management via GLAM Protocol. Triggers: glam, glam-cli, glam-sdk, vault create/manage, tokenized vault, share class, DeFi vault, treasury, asset management, access control, delegate permissions, Jupiter swap, Kamino lending/borrow/vaults/farms, staking (Marinade/native/SPL/Sanctum/LST), cross-chain USDC (CCTP), timelock, subscription/redemption, NAV pricing, token transfer. Supports CLI and TypeScript SDK.
日本語の概要は準備中です。原文の説明を表示しています。
internet-court/internet-court-skill☆ 6,7402026年8月20日 更新
Manage the user's shared agent-skill library via skills-manager-cli — install, update, remove, deploy or undeploy skills per agent, manage presets, organize tags, search, and adopt existing skills. Use this whenever the user wants Claude Code, Codex, Cursor, or another agent to gain or lose a skill, wants to organize the central library, or asks what is installed or deployed. Prefer this over direct agent-folder installs because Skills Manager preserves source metadata, preset membership, updates, and cross-agent deployment state.
日本語の概要は準備中です。原文の説明を表示しています。
xingkongliang/skills-manager☆ 6,3042026年10月13日 更新