技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
cyber-threat-hunting【数据与研究】Conducts hypothesis-driven, evidence-preserving threat hunts with bounded negative conclusions and telemetry-gap handling. Use for hunt hypotheses, scoped offline analysis, or analytic follow-up; not unscoped scanning, malware execution, or generic intelligence summaries.
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Preserve provenance and bound every conclusion to authorized evidence.
Input: falsifiable hypothesis, behavior, entities, scope, sources, window, expected signal, stop condition. Process: define positive/negative observations; normalize without overwriting originals; test narrowest evidence; correlate by entity/time; record gaps and alternatives. Output: status, cited evidence, bounded conclusion, limitations, owner.
cyber-authorization, documented scope, and runtime-proven controls; unsupported or missing scope blocks execution.confirmed, suspected, false-positive, blocked, or not-tested; only cited evidence supports a status.cyber-authorization, cyber-evidence, cyber-framework-mapping.