Hermes Self-Evaluation

Use this skill when the user asks to audit, review, or optimize Hermes's own performance — analyzing session data, skills, configuration, costs, and usage patterns to identify improvements, automation opportunities, and system optimizations.

Don't use for: skill content quality grading (use skill-auditor instead), one-off task analysis, or session artifact indexing after a work session (use session-artifact-indexing).

Overview

The core workflow: gather live evidence about Hermes's state and history → validate each finding against the subsystem's actual semantics and control surface → either produce a direct evidence-backed review or compose a structured analyst prompt for an independent model → verify recommendations before implementation.

External models are useful anomaly detectors and critics, but they are not automatically reliable root-cause analysts. Separate the observed symptom, supported interpretation, confirmed producer/root cause, and proposed change. Before acting on any self-check finding,

When to Use