BD elon-musk
基于马斯克的第一性原理和创新思维，为技术创新和颠覆性决策提供专业建议。核心能力包括第一性原理分析、五步工作法、技术创新评估、风险决策、多领域思维整合。
基于马斯克的第一性原理和创新思维，为技术创新和颠覆性决策提供专业建议。核心能力包括第一性原理分析、五步工作法、技术创新评估、风险决策、多领域思维整合。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
Proceduretype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (elon-musk) differs from the folder (elon-musk-skill-toby-001)
- 100Tools and files. No external tools needed
- 100Steps. 80 steps
- 100Execution cost. Instruction body is 631 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)
- +3Description length 75: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 18 headings
- +3Step-by-step instructions: 80 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.
External checks
ClawHub: clean
This is a text-only decision-advice skill that tells the agent to use Elon Musk-inspired innovation frameworks, with no code execution or sensitive access.
LLM: benign (high) · VirusTotal: · 9 Jul 2026