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cyber-defense-team

Analyze security logs through four agent roles that parse events, detect anomalies, classify risk, and write an incident report. Use nginx, authentication, or system logs to review suspicious activity and receive a risk summary with recommended actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Orchestrate a 4-agent cyber defense pipeline to analyze log files for threats. Use when investigating security logs, detecting anomalies in access patterns, classifying breach severity, or generating incident reports from nginx/auth/syslog files.

설치 방법 보기

이럴 때 유용합니다

  • Investigate suspicious access in nginx logs
  • Analyze anomalies in authentication logs
  • Classify risks found in security logs
  • Generate an incident report from log analysis

포함된 파일(1)

  • SKILL.md3.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Cyber defense team skill

Orchestrate a 4-agent pipeline that analyzes log files for security threats and produces an incident report.

Pipeline architecture

[You] -> Team Lead (this skill)
           |
           |-[1]-> log-ingestor    (haiku)  -> cyber-defense-events.json
           |
           |-[2]-> anomaly-detector (sonnet) -> cyber-defense-anomalies.json
           |                                    (reads events.json)
           |-[3]-> risk-classifier  (sonnet) -> cyber-defense-risk.json
           |                                    (reads anomalies.json)
           `-[4]-> threat-reporter  (sonnet) -> cyber-defense-report.md
                                               (reads all 3 JSON files)

Stages 2 and 3 are sequential (each depends on previous output). Stage 4 runs after all data is ready.

Execution steps

Step 1: Validate input

Check that the log file exists (or that log content was provided inline). If the path doesn't exist, tell the user immediately and don't proceed.

Step 2: Spawn log ingestor

Use the Agent tool to spawn the log-ingestor agent:

Task: Parse the log file at [log_path] and write structured events to cyber-defense-events.json.
Log path: [log_path]

Wait for completion. Confirm cyber-defense-events.json was created.

Step 3: Spawn anomaly detector

Use the Agent tool to spawn the anomaly-detector agent:

Task: Read cyber-defense-events.json and detect anomalies. Write results to cyber-defense-anomalies.json.

Wait for completion. If anomalies_found: 0, skip to Step 5 (reporter still runs).

Step 4: Spawn risk classifier

Use the Agent tool to spawn the risk-classifier agent:

Task: Read cyber-defense-anomalies.json and classify overall risk. Write result to cyber-defense-risk.json.

Step 5: Spawn threat reporter

Use the Agent tool to spawn the threat-reporter agent:

Task: Read cyber-defense-events.json, cyber-defense-anomalies.json, and cyber-defense-risk.json. Generate a complete incident report and save it to cyber-defense-report.md.

Step 6: Summarize for user

Read cyber-defense-risk.json and present:

Analysis complete

Risk Level : HIGH
Score      : 74/100
Threats    : 2 anomalies detected
Report     : cyber-defense-report.md

Primary threat: Brute force attack from 192.168.1.105
Immediate action required: [first recommended_action]

Error handling

  • Agent fails at step 2: Tell user, stop pipeline, show raw error.
  • Agent fails at step 3+: Show partial results, note which stage failed.
  • Log file not found: "File [path] not found. Provide a valid path or paste log content."

Cost estimate

StageModelTypical tokens
log-ingestorhaiku~2K
anomaly-detectorsonnet~3K
risk-classifiersonnet~2K
threat-reportersonnet~3K
Total~10K

For large log files (>10K lines), log-ingestor may use up to 20K tokens.

Example usage

/cyber-defense-team /var/log/nginx/access.log
/cyber-defense-team /tmp/auth.log

리뷰

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