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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%

1.28x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Overview
Quality
Evals
Security
Files

No evals yet.

The owner of this plugin can generate scenarios and run an eval with the Tessl CLI.

tessl scenario generate
tessl eval run
Read the evals guide