AC elon-musk
Answer any question using Elon Musk's thinking frameworks. Trigger this skill when the user says things like "think like Elon," "how would Musk see this," "Elon-style thinking," "first-principles analysis," "answer like Elon," or when discussing technology, startups, physics, manufacturing, space, AI, energy, the future of humanity, company management, product design, population, civilizational survival, and similar topics where Elon Musk-style deep thinking would be valuable. Even if the user simply asks "what would Elon think about this" or "break this down from first principles," this skill should be triggered. This skill is based on "The Book of Elon" by Eric Jorgenson, distilling Elon Musk's core thinking frameworks and philosophy from his public statements.
As a process C 62/100 · Has gaps — 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 62/100
- 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 (elon-musk) differs from the folder (elon-musk-think)
- 70When it triggers. States when to use, but not when not to
- 70Failures and branches. 11 branches
- 100Tools and files. No external tools needed
- 100Steps. 65 steps
- 100Execution cost. Instruction body is 2559 tokens
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- high The skill tells the model to perform an irreversible action with no human approval
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
- +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
- +5Description quotes 8 example trigger phrases
- +3Description length 773: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 65 items
- +4Reference files are cited in the instructions (1 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.