Audit Claude Code agents, skills, and commands for quality and production readiness. Use when evaluating skill quality, checking production readiness scores, or comparing agents against best-practice templates.
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。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Orchestrate a 4-agent pipeline that analyzes log files for security threats and produces an incident report.
[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.
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.
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.
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).
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.
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.
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]
| Stage | Model | Typical tokens |
|---|---|---|
| log-ingestor | haiku | ~2K |
| anomaly-detector | sonnet | ~3K |
| risk-classifier | sonnet | ~2K |
| threat-reporter | sonnet | ~3K |
| Total | ~10K |
For large log files (>10K lines), log-ingestor may use up to 20K tokens.
/cyber-defense-team /var/log/nginx/access.log
/cyber-defense-team /tmp/auth.log
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Audit Claude Code agents, skills, and commands for quality and production readiness. Use when evaluating skill quality, checking production readiness scores, or comparing agents against best-practice templates.
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。
Codebase health audit scoring 7 categories with progression plan
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。
Autonomous improvement loop: scan codebase metrics, scaffold experiment files, run agent-driven iterations until metric improves
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。
Generate bounded independent candidates, score them against a frozen rubric, and verify the selected result with a proof log.
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。
Post-deploy monitoring: watch production after a deploy and alert on regressions
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。
Restore context after /clear by summarizing recent work and project state
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。