BD 知识卡片
雄韬XTOCN出品 — 对任意概念做五维深度解剖，生成 Obsidian 格式的知识卡片。 触发：知识卡片、概念卡片、深度了解、彻底搞懂、理解一个概念、 怎么做卡片、帮我分析一下这个词、这个术语是什么意思、 高认知、焦虑、心流、元认知、熵增、第一性原理…… 任何单一概念/术语的深度解析请求。
雄韬XTOCN出品 — 对任意概念做五维深度解剖，生成 Obsidian 格式的知识卡片。 触发：知识卡片、概念卡片、深度了解、彻底搞懂、理解一个概念、 怎么做卡片、帮我分析一下这个词、这个术语是什么意思、 高认知、焦虑、心流、元认知、熵增、第一性原理…… 任何单一概念/术语的深度解析请求。
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "emoji"
Process rating: all ten parameters 46/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (知识卡片) differs from the folder (knowledgecards)
- 100Tools and files. No external tools needed
- 100Steps. 80 steps
- 100Execution cost. Instruction body is 3425 tokens
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
- -213 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 146: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 80 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.