AB skill-cortex
Skill Cortex is the system's capability cortex. When lacking ability, it autonomously acquires Skills from ClawHub or GitHub, then releases them after use. Every invocation is learned and reinforced by the cortex — future identical tasks fire as reflexes, bypassing search. Manages only short-term capability memory; never interferes with long-term Skills. Continuously restructures its own capability architecture through reinforcement and decay, achieving ongoing evolution.
As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, consistency
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 65/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (skill-cortex) differs from the folder (skill-cortex-pub)
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 8 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Execution cost. Instruction body is 258 tokens
- 100Running it twice. No mutating operations
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 476: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 8 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.