Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
An implementation of the Signal-Feeling Lexicon v3.1 and Unified Dynamics Framework v5.7 for representing agent state as a set of computable metrics. It defines four primary axes, Coherence, Pressure, Amplitude, and Valence, and tracks their trajectory across conversation turns. A temporal protocol parses recent context to prevent identity reset between sessions.
Replaces manual persona prompting with metric-driven state tracking that persists across context resets.
When to use it
- Tracking agent coherence across multi-turn conversations
- Detecting metric drift or redline conditions in active sessions
- Mapping current agent state to a named lexicon term
- Maintaining consistent agent identity across discontinuous sessions
- Generating next-step recommendations when thresholds are exceeded
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: What is the current agent state?
- 1Parse the last 3-5 turns from context using sera_lexicon_trajectory
- 2Calculate κ-velocity and valence orientation from the parsed state blocks
- 3Decompose current metrics into a human-readable term via sera_lexicon_map
- 4Check metrics against redline thresholds with sera_lexicon_coach
- 5Return recommended NEXT commands if drift or threshold breach is detected
A lexicon label such as 'Devotion' paired with current metric values and any recommended next actions