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.
Pro scans all 2 files and shows the line behind each finding
Scanned 9/24/2026
npx -y skills add HoangNguyen0403/agent-skills-standard --skill cyber-threat-hunting --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: cyber-threat-hunting
guardrail: true
description: 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.
metadata:
triggers:
files: []
keywords:
- threat hunting
- hunt hypothesis
- hunting query
- negative conclusion
- suspicious activity hunt
- telemetry gap
---
# Cyber Threat Hunting
## **Priority: P0 (CRITICAL)**
Preserve provenance and bound every conclusion to authorized evidence.
## Structure
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.
## Rules
- Active collection or network operations require `cyber-authorization`, documented scope, and runtime-proven controls; unsupported or missing scope blocks execution.
- Use controlled synthetic/offline fixtures. Preserve query/version, fixture provenance, retention, clock, identity, and source limitations.
- Status is `confirmed`, `suspected`, `false-positive`, `blocked`, or `not-tested`; only cited evidence supports a status.
- “No evidence found in the examined dataset/time window” is bounded negative evidence, never proof of no compromise.
- Include engagement/scope reference; skill/version/source; observation time; status; evidence references; limitations; accountable owner. Reuse shared skill IDs.
## Anti-Patterns
- Never call an empty or incomplete dataset clean.
- Never treat one ambiguous hit as confirmed compromise.
- Never collect live telemetry before authorization or invent hunt metrics.
## References (lazy, primary)
- MITRE ATT&CK data sources: https://attack.mitre.org/datasources/
- NIST SP 800-86 evidence handling: https://doi.org/10.6028/NIST.SP.800-86
- Reuse `cyber-authorization`, `cyber-evidence`, `cyber-framework-mapping`.
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