「ida」の検索結果

Consolidated Galyarder Framework Product 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。

Open Source License guidance, selection, compliance review, and drafting. Use this skill when users ask about choosing open source licenses, checking license compatibility, reviewing projects for OSS compliance, generating LICENSE/NOTICE files, or understanding specific license terms. Triggers include questions about MIT, Apache, GPL, BSD, LGPL, AGPL, copyleft, permissive licenses, license compatibility, SPDX identifiers, or any OSS licensing topic.

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 Knowledge 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。

Use when a graph gap or Evidence Need should become a targeted paper-search contract or candidate lead list.

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。

Audit an existing Quarkus + LangChain4j project against this stack's agentic conventions — a read-only conformance or gap-analysis review. Use when the user asks to audit, review, check, assess, or validate a Quarkus project against the LangChain4j agentic conventions, or wants to know whether an existing project conforms to (or is ready to adopt) this stack. User-invoked 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 this skill when applying VCSDD to Rust projects. Provides Kani proof harness patterns, proptest strategies, cargo-fuzz integration, and cargo-mutants mutation testing guidance.

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 this skill when writing Phase 1a behavioral specifications in VCSDD. Provides EARS format requirements writing, purity boundary analysis, edge case enumeration, and spec quality validation patterns.

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 this skill when running or interpreting VCSDD adversarial reviews. Provides calibration guidance for the Adversary agent, finding severity classification, and anti-leniency enforcement patterns.

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 this skill when creating or querying VCSDD Chainlink bead traceability. Provides bead creation patterns, chain traversal, and completeness validation.

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 Phase 6 (convergence check) for the active VCSDD feature. Validates four-dimensional convergence: finding diminishment, finding specificity, criteria coverage, and duplicate detection.

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 this skill when writing Phase 1b verification architecture documents. Provides purity boundary mapping, proof obligation design, and tier assignment guidance.

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。

Validate and maintain Agent Skills collections using Hyalo's skills profile, including Codex and Claude skill directories.

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 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。

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。

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 the user asks about infostealer families (LummaC2, RedLine, Vidar, Stealc, Raccoon, Rhadamanthys, etc.), log marketplaces (Russian Market, Genesis successors, BidenCash, Hudson Rock corpus), or stealer-driven incidents and credential exposure. Self-updating knowledge cell.

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。

Iterative literature-review workflow for a research topic. Use this skill to draft up to 10 search keywords, build a seed set from OpenAlex title-and-abstract matches, expand by backward and forward citations, screen candidates by title and abstract, repeat until no new relevant papers remain, rank the final set, inspect up to 30 full texts, build a concept-reference knowledge graph, and write a literature review grounded only in the final included references.

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。

Detection engineering skill for writing, testing, and tuning Sigma, YARA, YARA-L, Suricata, Snort, Zeek, KQL, SPL, EQL, Chronicle, and Elastic detection rules. Covers ATT&CK coverage mapping, telemetry gap analysis, false-positive tuning, detection-as-code pipelines, and validation with Atomic Red Team and Caldera. Use to design durable detections backed by tests.

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。