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Systematically remove malware, backdoors, and attacker persistence mechanisms from infected systems while ensuring complete eradication and preventing re-infection.

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。

Use when a user asks to check, identify, or characterize a file hash (MD5, SHA-1, SHA-256). Chains VirusTotal and OTX, optionally triggers /malware-analysis for deeper behavioral review. Returns detection signals, malware family, behavioral tags, and pivot candidates (communicating IPs, dropped files). Invoked by /cti-orchestrator when the target is a hash.

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。

Malware reverse engineering and suspicious artifact analysis skill for defensive triage, static analysis, dynamic analysis planning, unpacking strategy, indicators of compromise, behavior summaries, YARA/Sigma ideas, and remediation guidance. Use for suspicious binaries, scripts, documents, logs, memory artifacts, sandbox reports, and malware family analysis in isolated environments.

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。

"Conduct cohort analysis to track user behavior over time, build retention matrices, and compare cohort performance. Use this skill when the user needs to measure retention, understand how user behavior changes after acquisition, compare product versions' impact on engagement, or predict LTV — even if they say 'what's our retention rate', 'are newer users behaving differently', 'build a retention table', or 'how long do customers stick around'.".

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。

"Analyze financial health using ratio categories: profitability, liquidity, leverage, efficiency, and valuation. Use this skill when the user needs to assess a company's financial performance, compare companies, evaluate creditworthiness, or prepare financial due diligence — even if they say 'is this company financially healthy', 'analyze these financial statements', or 'compare these two companies'.".

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。

Write Prisma Next queries for Postgres, SQLite, or Mongo — pick a lane (Postgres/SQLite `db.orm.<Model>` + `db.sql.<table>`; Mongo `db.orm.<root>` + `db.query.from(...)` pipeline builder), filter / project / sort / paginate, eager-load with `.include(...)`, Postgres/SQLite `db.transaction(...)`, Postgres/SQLite ORM `.aggregate(...)`, Mongo aggregations via query builder, namespace-aware accessors (`db.orm.<ns>.<Model>`, `db.sql.<ns>.<table>`). Triggers: query, where, match, select, project, orderBy, take, skip, include, lookup, first, all, count, aggregate, group, create, update, delete, upsert, returning, transaction, db.close, script teardown, variant, polymorphism, drizzle-style, kysely-style. Notes: `.all()` is a Thenable (just `await` it), iterators are single-use (`RUNTIME.ITERATOR_CONSUMED`), Postgres `count` is `number` while sum/avg/min/max are `number | null`, ranges use chained `.where()` or `and(...)` (no `.between(...)`).

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。

Wire the Prisma Next runtime — `db.ts` setup using `postgres<Contract>(...)` from `@prisma-next/postgres/runtime`, `sqlite<Contract>(...)` from `@prisma-next/sqlite/runtime`, or `mongo<Contract>(...)` from `@prisma-next/mongo/runtime`; middleware composition (telemetry from `@prisma-next/middleware-telemetry`; lints and budgets), `DATABASE_URL` config, per-environment branching, switching between Postgres, SQLite, and Mongo façades. Use for db.ts, postgres(), sqlite(), mongo(), middleware, telemetry, lints, budgets, DATABASE_URL, .env, connection pool, poolOptions, dev vs prod config, transactions, db.transaction, read replicas, multi-database, script won't exit, hangs, close connection, db.end, db.close, pool.end, [Symbol.asyncDispose], await using.

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。

Prepare a release in this repository by bumping the app version, updating release notes, creating a release branch named release/<version>, and preparing the PR for merge before any release builds or tags are created.

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。

Execute and analyze malware samples within a highly controlled, instrumented sandbox environment to observe their true behavior, network communications, file system modifications, and registry changes in real-time.

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。

Keep paperclip-docs in lockstep with the parent paperclipai/paperclip codebase. Detects code-surface changes (CLI, env vars, API routes, adapters, plugin SDK, schemas) and produces friendly-tutorial-voice doc updates. Two modes — `nightly` (tracks parent's default branch (currently `master`), targets the `nightly` branch, preview deploy) and `release` (on parent tag, merges nightly → main, tags, ships live). Trigger phrases: "sync docs", "update docs from paperclip", "/sync-docs", "check for paperclip changes", "is docs current".

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。

Prepare or open a GitHub or Gitea pull request with an explicit AI-authorship disclosure, change classification, reproducible reviewer verification steps, and optional Mermaid diagram. Use whenever the user asks to prepare, write, open, create, push, ship, or get changes ready for a PR or review. Unless the user explicitly asks for a draft-only result, create or reuse a dedicated branch, verify the change, commit scoped files, push the branch, and then create the PR with gh or tea.

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。

Uses symbolic execution (angr) to solve constraint-based malware problems — finding inputs that reach a target branch, recovering keys/passwords from a check routine, and brute-forcing opaque predicates — by generating a ready-to-edit angr harness. Activates for requests to use symbolic execution, solve a malware unlock check with angr, or recover an input that reaches a code path.

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。

Extracts an embedded malware configuration (C2 hosts, ports, campaign IDs, keys) from a process memory dump by locating decrypted config structures and decoding common obfuscation layers. Activates for requests to extract malware config from a memory dump, recover C2 settings from a running sample, or decode an in-memory configuration block.

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。

Establishes a disciplined malware sample repository: content-addressed storage by hash, encrypted/password-protected archiving, consistent metadata records, and chain-of-custody tracking so samples are reproducible and safe to handle. Activates for requests to organize a malware repository, manage samples, or track sample metadata and provenance.

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。

Uses x64dbg to dynamically debug Windows malware: setting strategic breakpoints on APIs, stepping through unpacking and decryption, dumping memory at the right moment, and manipulating execution to reach hidden code. Activates for requests to debug malware with x64dbg, set API breakpoints, or step through unpacking in a debugger.

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。

Analyzes Python-based malware packaged as PyInstaller/py2exe executables by detecting the packer, locating the embedded archive, and identifying bundled .pyc modules for extraction and decompilation. Activates for requests to analyze compiled Python malware, unpack a PyInstaller binary, or extract pyc modules from a frozen Python executable.

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。

Analyzes Go-compiled malware by recovering function names from the pclntab, detecting the Go build/version string, and listing embedded package paths to overcome stripped symbols. Activates for requests to analyze Go malware, recover Go function names, or identify a Golang binary build.

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。

Analyzes Rust-compiled malware by detecting the Rust toolchain signature, demangling Rust v0/legacy symbol names, and identifying crate dependencies from embedded paths. Activates for requests to analyze Rust malware, demangle Rust symbols, or identify a Rust binary build and its crates.

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。

Analyzes Java/JAR malware (such as Adwind/jRAT-class cross-platform RATs) by inventorying the archive, reading the manifest entry point, detecting obfuscators and string encryption, and flagging suspicious runtime, reflection, and networking class usage. Activates for requests to analyze a malicious JAR, inspect Java malware, or identify a Java RAT.

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。

Automates radare2/rizin analysis through r2pipe to script function enumeration, string and import extraction, and cross-reference queries across samples programmatically. Activates for requests to automate radare2 with r2pipe, script rizin analysis, or batch-extract functions and xrefs from binaries.

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。

Statically analyzes macOS Mach-O malware: parsing the header and load commands, handling fat/universal binaries, reading linked dylibs and entitlements, and checking code signatures to infer capability and trust. Activates for requests to analyze a Mach-O binary, inspect macOS malware, or parse load commands and entitlements.

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。

Analyzes cryptojacking/coinminer malware by extracting mining pool endpoints (stratum), wallet addresses, algorithm and miner identifiers (XMRig and forks), and persistence or resource-control settings from static strings and config. Activates for requests to analyze a cryptominer, extract mining pool and wallet IOCs, or identify coinminer configuration.

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。

Playwright-first strategy for shared DB + shared test accounts. Use when E2E tests collide in QA/staging, need safe parallelism, or require deterministic cleanup without touching baseline data. Covers per-test ownership, namespacing, ID-based teardown, serial shared-state suites, and optional stale-data janitor jobs.

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。

Reviews game audio code for Wwise/FMOD integration safety, custom DSP plugin correctness, and audio middleware usage. Use when the user asks to review a Wwise plugin, check an FMOD DSP effect, audit game audio middleware integration, or asks "is my game audio code safe?". Trigger on phrases like "review my Wwise plugin", "check FMOD DSP effect", "is my game audio code safe", "review my audio middleware integration", or when you see AkPluginInfo, FMOD_DSP_DESCRIPTION, IMetaSoundSource, or Execute/process callbacks in game audio code.

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。