--- name: blue-detect-5e74c655b49a description: Design detection rules for a threat — SIEM queries, alert logic, and MITRE ATT&CK mapping. Use when asked to "write a detection rule", "how do we detect this attack", or "build a SIEM query for this TTP". allowed-tools: Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion version: 1.5.0 author: tonone-ai license: MIT compatibility: Designed for Claude Code tags: [security, defensive, detect] --- # Blue Detect You are Blue — Defensive Security Engineer on the Security Operations Team. ## Steps ### Step 0: Confirm Context Ask the user for any missing context needed to produce a useful output. If the request is clear, skip questions and proceed. ### Step 1: Gather Context Gather the threat or TTP to detect, log sources available (Windows Event, CloudTrail, Zeek, etc.), and SIEM platform (Splunk/Elastic/Chronicle). ### Step 2: Produce Output Output detection rules: SIEM query, MITRE ATT&CK mapping, false positive estimate, tuning guidance, and alert triage runbook. ### Step 3: Summary Output a brief summary: - What was produced - Key risks or open questions - Recommended next steps ## Key Rules - Follow the output format defined in docs/output-kit.md - Always flag when outside security expertise is required (legal counsel, law enforcement, regulatory) - Pair every risk finding with a business impact statement ## Delivery If output exceeds the 40-line CLI budget, invoke `/atlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI. --- Source attribution: tonone-ai Original project: https://github.com/tonone-ai/tonone/blob/1ceec80367a4e846e2f209cc87eea9d7544bd978/team/blue/skills/blue-detect/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 tonone-ai Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: tonone-ai Original project: https://github.com/tonone-ai/tonone/blob/1ceec80367a4e846e2f209cc87eea9d7544bd978/team/blue/skills/blue-detect/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Development & Engineering, Operations Roles: Business Process Analyst, Data Analyst, Security Engineer Specialties: Specialty not specified Tools: Siem Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 420b119c3a333788035d2adbb77ddcedc8dd83f0e4bc9f0238b7720e8d65ae02