「chain」の検索結果

Use when you need to hunt in the organisation's own Microsoft Sentinel workspace — sweep the logs for IOC hits (IP, domain, hash, URL, account), hunt behavioural TTPs from MITRE ATT&CK techniques, run KQL against live data, or check which tables the workspace actually ingests. Discovers available tables first and only generates KQL for tables that verifiably exist, so hunts adapt to each environment's connectors. Commonly chained by the /*-investigation skills to answer "were we exposed?". Reads $SENTINEL_TENANT_ID, $SENTINEL_CLIENT_ID, $SENTINEL_CLIENT_SECRET, $SENTINEL_WORKSPACE_ID. Read-only.

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 you need CrowdStrike Falcon Intelligence on an indicator (IOC reputation for an IP, domain, hash, or URL — malicious confidence, linked actors, malware families, reports) OR on an adversary (threat-actor profile, origin/target search, MITRE ATT&CK TTPs, finished intel reports). Answers questions like "look up 1.1.1.1", "what TTPs does Charming Kitten use?", "which threat actors operate from Russia?", and "latest report on Mustang Panda". Commonly invoked by the four /*-investigation skills, /ioc-enrichment-workflow, /threat-actor-profiling, and the regional espionage cells. Other agents/skills can chain this for vendor-authoritative actor and finished-intel context. Requires a Falcon Intelligence subscription.

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 investigate, check, or characterize a domain or hostname. Chains VirusTotal, URLScan (search existing scans), Shodan (DNS resolve + host), OTX, ransomware.live (victim-status sweep), and optionally Censys. Returns reputation, resolution, hosting fingerprint, ransomware-claim status, and pivot candidates. Invoked by /cti-orchestrator when the target is a domain.

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 investigate, check, enrich, or characterize an IP address (IPv4 or IPv6). Chains VirusTotal, Shodan, AbuseIPDB, GreyNoise, OTX, and optionally Censys in parallel, then consolidates findings and prioritizes follow-up IOCs. Invoked by /cti-orchestrator when the target is an IP.

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 documenting a named campaign across time and victims, the user asks to start or update a campaign record, or another skill identified a multi-incident cluster that warrants formal tracking. Provides the template (timeline, attribution, victimology, attack chain, Diamond Model mapping, IOC clusters) and the lifecycle from active to historical.

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 you need to check an IP, domain, file hash, or URL against VirusTotal's reputation database. Returns detection ratio, verdict, community score, and key findings. Commonly invoked by investigation skills (/ip-investigation, /domain-investigation, /hash-investigation, /url-investigation) and by analysts enriching IOCs. Other agents/skills can chain this for VirusTotal enrichment.

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。

Digital forensics and incident response triage skill for disk, memory, network, cloud, and endpoint artifacts. Covers Volatility 3, Velociraptor, KAPE, Plaso, Autopsy, Chainsaw, Hayabusa, Zeek, Arkime, EVTX, AWS/Azure/GCP audit logs, and timeline reconstruction. Use to extract IOCs, build incident timelines, and produce defensible analyst reports.

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。

Kubernetes and container security skill for cluster hardening, RBAC review, admission control (OPA Gatekeeper, Kyverno), Pod Security Standards, network policies, secrets management, runtime defense (Falco, Tetragon), image supply chain (cosign, SLSA, in-toto), and CIS benchmark compliance. Use to assess and harden clusters you operate.

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。

AI and LLM red-teaming skill for evaluating prompt injection, jailbreak, data exfiltration, tool abuse, agent hijack, RAG poisoning, model denial of service, and unsafe tool-use chains in Gemini, Claude, GPT, and open-weight models. Use to build evaluation harnesses, attack corpora, defensive guardrails, and red-team reports for AI systems you own or are authorized to test.

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。

DevSecOps skill for securing CI/CD pipelines, infrastructure as code, containers, Kubernetes, cloud deployments, secrets handling, dependency management, SAST/DAST/SCA, release gates, supply-chain controls, SBOMs, policy-as-code, and secure SDLC workflows. Use for pipeline hardening, deployment risk reviews, security automation, and remediation planning.

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。

Natural-language orchestration of security tools through Gemini. Translates intent ("scan this scope for exposed admin panels") into safe, parameterized tool pipelines using nmap, masscan, naabu, httpx, nuclei, ffuf, gobuster, subfinder, amass, dnsx, katana, gau, semgrep, trivy, checkov, gitleaks, syft, grype, and custom scripts. Use when the user wants Gemini to drive a chain of CLI tools end to end with guardrails.

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。

Design effective reasoning processes for AI agents and optimize decision-making strategies. Use when designing agent prompts, improving decision quality, implementing specialized reasoning modes, creating reasoning traces, or debugging agent mistakes. Covers prompting, chain-of-thought, reasoning depth, and decision evaluation.

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。

Register and manage on-chain AI agent identity via ERC-8004.

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。

Run Forge's canonical verification chain (format:check + lint + typecheck + build + test). Use before claiming any task done or opening a PR.

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。

Run Forge's canonical verification chain (format:check + lint + typecheck + build + test). Use before claiming any task complete or opening a PR.

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 for local Granola archive search, sync freshness, notes/transcripts/panels, Markdown export, snapshots, Keychain-safe source debugging, and Graincrawl repo/release work.

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。

Preserve an approved specification through a complete implementation plan and execution. Use for major refactors, migrations, or multi-session work when a confirmed spec is authoritative; keep scope and order changes explicit.

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。

Post-process exported PFC 5.0 asphalt DEM data with vedo for particle, force-chain, crack, displacement, velocity, slice, figure, and animation workflows.

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。

Take one new feature slice from idea to reviewed, committed code in a single guided pass — scope it into the smallest shippable slice, build it test-first with strict TDD, review and fix the diff, then commit it. Chains slice → test-driven-development → the built-in /code-review → git-commit. Not for reviewing an existing PR, upgrades, or open-ended design questions.

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。

"Apply the Uppsala Internationalization Model to analyze gradual foreign market entry based on psychic distance and experiential learning. Use this skill when the user needs to plan a staged internationalization sequence, understand why firms enter culturally similar markets first, or evaluate whether a firm's international expansion follows the establishment chain from export to subsidiary.".

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。

"Apply Structural Equation Modeling (SEM) to test hypothesized causal structures by combining measurement models (CFA) and structural models (path analysis). Use this skill when the user needs to validate latent constructs, test mediation or moderation paths, assess model fit with CFI/TLI/RMSEA/SRMR, or when they ask 'do these variables form a causal chain', 'how do I test my theoretical model', or 'is my measurement model valid'.".

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。

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

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。

Final-mile orchestrator - commit + push + PR creation. Run after /pre-commit passes. Chains: commit -> push -> /pr-creator (artifact check + PR). Use --issue N to auto-close a GitHub issue on merge. Use --main to ship directly to main with no PR (closes issue + deletes branch).

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。

Codex 环境专用的视觉物料生产：PPT / Keynote / HTML deck、公众号封面与正文配图、B站/YouTube 视频封面。存在的全部理由是走 Codex 内置 image_gen，不花 nano banana / Gemini API 的钱——不在 Codex 环境就别用。用户说做PPT、幻灯片、演示文稿、deck、公众号封面、视频封面时触发。

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。