sharaf/llm-learning-system-auditor
Use when the user wants to review, audit, or check safety for an AI memory system, agent learning pipeline, prompt-tuning workflow, skill builder, trace-mining tool, or eval/feedback loop. Produces an evidence-led audit report with learning-loop map, evidence inventory, maturity scorecard, severity-ranked findings, privacy/provenance gaps, counterfactual/eval coverage, and Stabilize/Standardize/Scale roadmap.
100
1.28x
Quality
100%
Does it follow best practices?
Impact
100%
1.28xAverage score across 3 eval scenarios
Securityby
Passed
No known issues
tile.json
{
"name": "sharaf/llm-learning-system-auditor",
"version": "0.2.22",
"summary": "Use when the user wants to review, audit, or check safety for an AI memory system, agent learning pipeline, prompt-tuning workflow, skill builder, trace-mining tool, or eval/feedback loop. Produces an evidence-led audit report with learning-loop map, evidence inventory, maturity scorecard, severity-ranked findings, privacy/provenance gaps, counterfactual/eval coverage, and Stabilize/Standardize/Scale roadmap.",
"private": false,
"skills": {
"llm-learning-system-auditor": {
"path": "skills/llm-learning-system-auditor/SKILL.md"
}
}
}