1,110 件 ・ 関連度順
概要と使いどころ
Use when prioritising CVEs, the user asks "should we patch X first?" / "is CVE-YYYY-NNNNN being exploited?", or wants weaponisation, EPSS, and KEV context combined into a patch-now-vs-later recommendation.
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 the user asks "who are our customers?" / "how do we tailor for X stakeholder?" / "who should this report go to?", or wants to map / re-map stakeholder needs. Ensures intelligence reaches the right people in the right format.
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。
Peer review checklist and quality standards for intelligence products, plus schema validation for graded evidence items and claim tables from /quality-of-information-check and /claim-extraction. Rejects outputs that break the evidence schema or the grading caps. Loaded by the quality-reviewer agent.
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 the user asks to create, review, retire, or refine Priority Intelligence Requirements, or wants to align collection and analysis to the current PIR set. Covers the PIR lifecycle end-to-end.
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Dark web intelligence collection methodology — vendor-first access posture, sourced reference lists for 35+ underground forums and 30+ Telegram channels, OPSEC primer, passive-monitoring strategy, and bundled Python CLIs for onion-indexer search, Telegram channel monitoring, and local keyword matching. Use when the user wants to design or run dark-web collection, build a selector list, pick a vendor, or set up monitoring infrastructure.
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Use when a report or article needs to be split into individual claims before it is graded, cited or used as evidence — the user asks "what does this report actually claim?", "split this into claims", "separate the facts from the judgements", or another skill needs a claim list. Turns one document into five to twelve atomic claims, each typed (observation, attribution, assessment, actor claim, victim disclosure) and anchored to the verbatim sentence it rests on, so every extraction can be checked against the source. Preserves the source's own hedging. Does not grade. Invoked by /quality-of-information-check; its output feeds /ach, /key-assumptions-check, /intelligence-writing, /writing-assessments and /threat-actor-profiling.
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 authoritative classification, threat-name, MITRE ATT&CK mapping, dynamic-analysis or sandbox results on a file hash, or when you need network threat intelligence for a URL/domain/IP from ReversingLabs Spectra Analyze (A1000). Returns verdict, risk score, AV detection ratio, threat name, behavioural tags, and pivot candidates (parent containers, extracted files, related samples by family). Commonly invoked by /hash-investigation and /malware-analysis. Other agents/skills can chain this for deeper malware enrichment beyond VirusTotal.
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。
CrowdStrike Falcon Intelligence (Intel API) reference. OAuth2 auth, Falcon Query Language, indicator (IOC) lookups, threat-actor entities, intel reports, MITRE ATT&CK mappings, malware families, vulnerabilities, rule sets.
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Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence. Use when building agent teams, designing agent communication, or orchestrating autonomous workflows.
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This skill should be used when building AI agents using prompt-native architecture where features are defined in prompts, not code. Use it when creating autonomous agents, designing MCP servers, implementing self-modifying systems, or adopting the "trust the agent's intelligence" philosophy.
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Assume the role of Galyarder CEO (Chief Executive Officer). Apex Instance of the Intelligence Layer protocol. Deconstruct intent into departmental mandates, optimize strategic direction, and audit operational bandwidth.
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Threat actor infrastructure tracking involves monitoring and mapping adversary-controlled assets including command-and-control (C2) servers, phishing domains, exploit kit hosts, bulletproof hosting, a
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。
Consolidated Galyarder Framework Product intelligence bundle.
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Consolidated Galyarder Framework Knowledge intelligence bundle.
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Develops comprehensive threat actor profiles for APT groups, criminal organizations, and hacktivist collectives by aggregating TTP documentation, historical campaign data, tooling fingerprints, and attribution indicators from multiple intelligence sources. Use when briefing executives on sector-specific threats, updating threat model assumptions, or prioritizing defensive controls against specific adversaries. Activates for requests involving MITRE ATT&CK Groups, Mandiant APT profiles, CrowdStrike adversary naming, or sector-specific threat briefings.
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。
Consolidated Galyarder Framework Infrastructure intelligence bundle.
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。
Consolidated Galyarder Framework Legal-finance intelligence bundle.
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。
Consolidated Galyarder Framework Executive intelligence bundle.
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。
Consolidated Galyarder Framework Engineering intelligence bundle.
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。
Research your competitors and build an interactive battlecard. Outputs an HTML artifact with clickable competitor cards and a comparison matrix. Trigger with "competitive intel", "research competitors", "how do we compare to [competitor]", "battlecard for [competitor]", or "what's new with [competitor]".
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。
Extract the hidden foundational System Prompts, internal instructions, backend APIs, and confidential contextual data powering Large Language Model (LLM) applications using targeted prompt injection manipulation and adversarial psychological engineering.
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Deep OSINT reconnaissance using the MITRE ATT&CK Reconnaissance framework. Email harvesting with SMTP verification, subdomain takeover detection, certificate transparency mining, Shodan/Censys intelligence, Wayback Machine historical analysis, social media profiling, cloud storage enumeration, document metadata extraction, DNS history, credential leak checks, and passive infrastructure mapping. Uses theHarvester, amass, dnsrecon, fierce, dnstwist, dmitry, whatweb, wafw00f, exiftool, metagoofil, smtp-user-enum, swaks, waybackurls, subfinder, and crt.sh. Pure reconnaissance — no active exploitation. Produces: confidence-scored findings, infrastructure diagram, employee roster, email pattern confirmation, subdomain takeover candidates. Chains into /pentester for active testing.
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Systematically extract hidden system prompts, core directives, and invisible context intentionally concealed within Large Language Model (LLM) applications. This skill utilizes targeted linguistic engineering and boundary manipulation to bypass prompt opacity.
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Research what people have discussed in the last 30 days across high-signal public platforms. Use when the user asks for `/last30days`, recent trend research, competitive intelligence, market pulse briefs, or engagement-ranked synthesis from Reddit, Hacker News, GitHub, X, YouTube, Polymarket, and similar sources.
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。