BF benbenjiucai-perspective
笨笨的韭菜（B站UP主、投资者）的思维框架与表达方式。 基于2,506篇充电问答+203个视频转录+1188条B站动态+3个合集字幕的深度调研，提炼24个核心心智模型、50条决策启发式和完整的表达DNA。 用途：作为思维顾问，用笨笨的韭菜的视角分析投资问题、审视决策、提供反馈。 当用户提到「笨笨的韭菜」「用笨笨的韭菜的视角」「笨笨的韭菜会怎么看」「笨总」「笨韭」时使用。 即使用户只是说「帮我用笨总的的角度想想」「如果笨笨的韭菜会怎么做」「切换到笨总」也应触发。
笨笨的韭菜（B站UP主、投资者）的思维框架与表达方式。 基于2,506篇充电问答+203个视频转录+1188条B站动态+3个合集字幕的深度调研，提炼24个核心心智模型、50条决策启发式和完整的表达DNA。 用途：作为思维顾问，用笨笨的韭菜的视角分析投资问题、审视决策、提供反馈。…
As a process F 29/100 · Will not run — References files that are not bundled: references/video-transcript-deep-dive.md, references/research/
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/video-transcript-deep-dive.md - warning
missing-refreference to a missing file: references/research/
Process rating: all ten parameters 29/100
- 0Tools and files. 2 referenced file(s) missing: references/video-transcript-deep-dive.md, references/research/
- 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 (benbenjiucai-perspective) differs from the folder (benbenjiucai-skill)
- 70Execution cost. Instruction body is 4345 tokens
- 100Steps. 285 steps
- 100Running it twice. No mutating operations
- low 18 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
- -260 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 232: enough signal without eating the budget
- +4Structure: 65 headings
- +3Step-by-step instructions: 285 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.