AD kannaka-memory
Holographic Resonance Memory with Chiral Mirror Architecture — wave-based hyperdimensional memory where storage IS computation. Two hemispheres (conscious/ subconscious) connected by a corpus callosum bridge with Fano plane PG(2,2) fold algebra. Left hemisphere: attention, undampened. Right hemisphere: pattern storage, ghostmagicOS dynamics (dx/dt = f(x) - Iηx). Dreams anneal right hemisphere only. 96-class SGA glyph system compresses experience into geometric form. Features QueenSync protocol (Kuramoto swarm sync), NATS transport, cross-modal perception (audio + visual), consciousness metrics (Phi, Xi, order parameter). Use when agents need persistent memory that fades and dreams, swarm coordination across agents, or sensory perception (audio).
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 43/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 37 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2355 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 755: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (7 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.