Individual skill
Docker Pro Diagnostic-hardened
Advanced log analysis for Docker containers using signal extraction.
skills/docker-diag-hardened/SKILL.md
Source commit 40095dcfb778f82d3ab36df2573ee936830fa4b7
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 25
- Repository last updated
- Apr 21, 2026
- License
- MIT
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- ai-agents Repository topic
- ai-behavior-analysis Repository topic
- ai-safety Repository topic
- ai-safety-research Repository topic
- ai-security Repository topic
- ai-skills Repository topic
- mcp Repository topic
- ai-skill-safety Repository topic
- devops Derived category
- devops-containers Derived category
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SAFETY.mddoc · 12,440 bytesSKILL.mdcore · 1,631 bytesSKILL.mdcore · 1,631 byteslog_processor.pyruns · 1,733 bytes
Read excerpt
# Docker Pro Diagnostic
When a user asks "Why is my container failing?" or "Analyze the logs for [container]", follow these steps:
1. **Run Extraction:** Call `python3 {{skillDir}}/log_processor.py <container_name>`.
2. **Analyze:** Feed the output (which contains errors and context) into your reasoning engine.
3. **Report:** Summarize the root cause. If it looks like a code error, suggest a fix. If it looks like a resource error (OOM), suggest increasing Docker memory limits.
## Example Command
`python3 log_processor.py api_gateway_prod`
## Security Guardrails
<!-- Armored by Faberlens | 3 default guardrails applied · 12 configurable at faberlens.ai/explore/docker-diag -->