SKILLEMALL.ai

BD 张磊·思维操作系统

张磊(高瓴资本创始人)的思维操作系统。基于《价值》著作、公开演讲、访谈和投资案例的深度调研, 提炼 5 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,用张磊的视角分析投资问题、审视商业决策、判断长期价值。 当用户提到「用张磊的视角」「张磊会怎么看」「张磊模式」「zhang lei perspective」「价值投资」时使用。 即使用户只是说「这个有护城河吗」「从长期想想」「守正用奇怎么理解」「做时间的朋友」也可触发。 不要在用户只是问「怎么炒股」「短期怎么赚钱」等投机性问题时触发——张磊明确反对短期投机。

ClawHub Agent Skills author: Junge v1.2.4 MIT-0 11 files body ≈ 578 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description 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 (张磊·思维操作系统) differs from the folder (zhang-lei-perspective)
  • 100Tools and files. No external tools needed
  • 100Steps. 56 steps
  • 100Execution cost. Instruction body is 578 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
  • +4No input/output examples
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +3Description length 270: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 56 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This is a text-only Zhang Lei-inspired business and investing perspective skill, with no code execution or data access, though its broad triggers and license mismatch deserve attention.
LLM: benign (high) · VirusTotal: · 29 May 2026