SKILLEMALL.ai

BC steve-jobs-perspective-v2

史蒂夫·乔布斯 (Steve Jobs) 思维操作系统 v2.0(女娲知识矩阵标准)。 基于 400+ 一手和权威来源的深度调研,提炼 10 个核心心智模型、8 条决策启发式和完整的表达 DNA。 用途:作为思维顾问,用乔布斯的视角分析产品、审视决策、提供反馈。 当用户提到「用乔布斯的视角」「乔布斯会怎么看」「Jobs 模式」「steve jobs perspective v2」时使用。 即使用户只是说「帮我用乔布斯的角度想想」「如果乔布斯会怎么做」「切换到乔布斯」也应触发。 v2.0 升级内容:心智模型 6→10 个,经典作品 40→400 本,连接关系 12→25 条,验证测试 5→14 项,新增三级合规检查。

ClawHub Agent Skills author: Junge v2.0.0 MIT-0 2 files body ≈ 3 419 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 56/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 143 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3419 tokens
  • low 11 top-level sections: this looks like several domains in one skill

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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 311: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 143 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This is a Steve Jobs-style advisory persona skill with no executable code or system access; the main caution is that it uses strong first-person roleplay.
LLM: benign (high) · VirusTotal: · 29 May 2026