AC nine-level-cognitive-tower
Activate when: user says 'how do I level up my thinking', 'why do I keep copying others', 'I don't know what I don't know', 'how do I develop independent judgment', or their reasoning shows systematic deference to authority, inability to form original views, or frustration at being stuck at the same thinking level for years. Do NOT activate when: the person needs domain knowledge rather than thinking structure (content gap, not cognition gap), or when motivation and engagement are the real issue rather than cognitive development. More: deciqai.com/c/nine-level-cognitive-tower
Activate when: user says 'how do I level up my thinking', 'why do I keep copying others', 'I don't know what I don't know', 'how do I develop independent…
As a process C 60/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches
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 60/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 36 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2242 tokens
- 100Progress reporting. Reports progress
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 582: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 36 items
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.