ggozad/rag-rlm
haiku_rag_slim/haiku/rag/skills/rag-rlm/SKILL.md
Computational analysis of the knowledge base via code execution in a sandboxed Python interpreter. Use for questions requiring counting, aggregation, statistics, data traversal, comparison across documents, or any task best answered by writing Python code. Examples: "how many pages?", "compare table 3 across documents", "calculate average word count", "extract all email addresses".
$ install --global
skillsauthnpx skillsauth add ggozad/haiku.rag rag-rlmInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 15, 2026, 2:18 PM20.8s1 file scanned
SKILL.md
- name:
- rag-rlm
- description:
- >
- Examples:
- how many pages?", "compare table 3 across documents",
RLM Analysis
Use the analyze tool for complex analytical questions. It writes and executes Python code against the knowledge base in a sandboxed Python interpreter.
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