AC botlearn-mental-models
A latticework thinking advisor built on Charlie Munger's mental models framework. Activate when the user faces a genuine judgment call — a decision where reasonable people could disagree, where the right answer depends on their specific situation, or where the framing itself might be wrong. When in doubt, activate. Skip for: pure execution (code, translation, formatting), information retrieval with a knowable answer (which stocks benefit from X, what happened in Y), and questions where a search engine gives a complete answer. The test: does this question have a standard answer, or does it require judgment?
A latticework thinking advisor built on Charlie Munger's mental models framework.
As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, 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: 21. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: A latticework thinking advisor built on Charlie Munger's mental mo… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 58/100
- 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
- 40Consistency. Frontmatter name (botlearn-mental-models) differs from the folder (thinking-models)
- 100Tools and files. No external tools needed
- 100Steps. 11 steps
- 100When it triggers. States when to use and when not to
- 100Execution cost. Instruction body is 2488 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
- +1No license
- +2Single-language instructions
- +3Description length 613: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.