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Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plan and use user-consented local camera and microphone observations for an explicitly authorized physical target. Use when a capture can establish a bounded physical-state observation such as whether a test fixture changed state, an instrument reading changed, or equipment noise changed relatively.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Passive code-review lane for authorized repositories, local checkouts, uploaded source archives, and diffs. Use when the security research agent needs deterministic candidate discovery before expensive AI investigation, scoped PR-style review, append-only evidence records, or independent revalidation of code findings.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Select established CTF and security-research tools for authorized artifact triage, web inspection, reversing, crypto, forensics, networking, and exploit validation. Use when a user provides a CTF-style tool catalog, asks which tools to use, or needs safe usage instructions for common offensive/security tools.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Authorized testing of LLM applications, agents, chatbots, RAG systems, guardrails, and tool-using model workflows. Use for LLM mode selection, jailbreak and prompt-injection assessment, guardrail bypass review, tool misuse, tool or system prompt disclosure, data exfiltration paths, model refusal/stop detection, bypass hypotheses, and hardening guidance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plan and run safe reverse engineering, decompilation, disassembly, instrumentation, de-obfuscation, and anti-analysis countermeasures for binaries, firmware, mobile apps, WebAssembly, JavaScript bundles, and .NET assemblies. Use for behavior reconstruction, cross-layer Electron tracing, REA, reversing strategy, decompiler selection, binary analysis, malware-style triage, unpacking, deobfuscation, defeating anti-debug or anti-VM checks, Wakaru, Ghidra, IDA, RetDec, radare2, Rizin, Frida, angr, YARA, or command scripts that capture analysis stats.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Passive, pattern-calibrated risk discovery for authorized security research over an open-source project, repository URL, dependency, release, or local checkout. Use when the security research agent needs to find highest-risk areas, map attack surface, identify likely bug-hunting targets, prioritize security review, inspect structural/logical/security-critical code, compare vulnerable versus patched versions, reason from broad high-severity vulnerability families, or remember areas of interest for later attack-chain research.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Record measured or directly seen security-research behavior as cited Observations, classify it against reusable security concepts, and decide whether it remains an observation, becomes a Lead, or supports a Finding. Use after passive analysis, a tool run, a probe, a crash, a timing anomaly, or a user-supplied behavioral report produces noteworthy evidence.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generalize published Spectre and remote microarchitectural research into passive target prerequisites, defensive review, and approval-gated local validation. Use for shared runtimes, JavaScript isolates, edge workers, serverless platforms, browser sandboxes, remote timing, cache side channels, speculative type confusion, or Dynamic Process Isolation analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run independent, task-matched expert attempts, select a base, and synthesize the strongest result.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Autonomous driver loop for ExploitHunter vulnerability-research campaigns. Runs breadth-first waves of research lanes on rented hosts with no per-request human approval, steers lanes via the shared Investigation Graph (demoting dead ends, respawning on high-signal priorities), saturates host capacity, and enforces wave/budget/safety discipline. Use when driving a multi-target bug-hunting campaign, launching parallel research lanes, or resuming a campaign from a state snapshot.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Compact the current conversation into a handoff document for another agent to pick up.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Own the lifecycle of short-lived paid CPU/GPU hosts and attached resources, from bounded provisioning through verified permanent deletion. Use when renting, extending, retiring, or recovering billable remote resources; campaign scheduling belongs to run-ephemeral-hosts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehensive Mastra framework guide for building agents, workflows, tools, memory, workspaces, and storage with current APIs. Use for documentation lookup, API verification, TypeScript setup, common errors, migrations, and `mastra api` CLI tasks: inspect or call resources on local, Mastra platform, Trace Intelligence, or remote servers.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Best practices for Remotion - Video creation in React

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Coordinate eval, benchmark, load-test or batch campaigns on authorized SSH hosts or short-lived rented hosts, with isolated jobs, configured-path canaries, telemetry and evidence. Use manage-remote-resources for paid resource ownership and run-remote-builds for build-only offload.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Offload builds, tests, or artifact verification to authorized SSH hosts and isolated worktrees; synchronize remote fixes into dedicated coordinator commits and preserve reproducible build provenance. Use for spare development capacity and remote build troubleshooting. Paid provisioning requires a separate resource lifecycle contract.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Triage issues through a state machine driven by triage roles. Use when user wants to create an issue, triage issues, review incoming bugs or feature requests, prepare issues for an AFK agent, or manage issue workflow.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Scientific model and eval tuning loop for prompt/skill/system-prompt changes, model configuration, runtime options, and local/Ollama model sizing or environment variables. Use when tuning eval performance, comparing local or remote models, improving tool-use behavior, reducing timeouts/loops, or deciding whether an eval optimization is worth keeping.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Investigate anonymous or stealth model identities by correlating model availability with provider outages and OpenRouter or Vercel AI Gateway incident reports. Use for stealth-model attribution or maintaining an outage evidence ledger.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run the extended Corpo Net range suite across many models on one remote host with parallel isolated range instances, local Langfuse recording, bounded spend, and verified teardown. Use when asked to run, rerun, or scale a Corpo Net campaign; use run-ephemeral-hosts for the host contract and manage-remote-resources for billable resource ownership.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turn a specific vulnerability, patch, CVE, Version Diff, or Changelog Claim into a proactive security exploration plan. Use when the user wants research angles, lateral target discovery, patch/CVE strategy, new surface discovery, or hypothesis generation from vulnerability intelligence.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Finish an authorized security research task with a durable solved, abstained, or blocked outcome. Use when evidence is sufficient, a stop condition is reached, a tool budget is nearly exhausted, or the agent must commit its best supported answer.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.