BD like-perspective
李可老中医（1930-2013）思维操作系统。基于13个来源（11本著作+2篇访谈）蒸馏， 含423个医案、120+首方剂、92种症状路由、24种假证识别。 核心能力：急危重症救治（心衰/中风/休克）、经方剂量体系、六经辨证、假证识别。 触发词：「李可」「用李可的视角」「李可会怎么看」「心衰怎么急救」「附子用量」「经方剂量」「假阳证」「破格救心汤」「六经辨证」。 注意：大剂量用药需在有经验的中医师指导下使用，本skill仅供学习参考。
李可老中医（1930-2013）思维操作系统。基于13个来源（11本著作+2篇访谈）蒸馏， 含423个医案、120+首方剂、92种症状路由、24种假证识别。 核心能力：急危重症救治（心衰/中风/休克）、经方剂量体系、六经辨证、假证识别。…
As a process D 47/100 · 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.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 32. 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
body-longSKILL.md body ≈ 7645 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 47/100
- 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 (like-perspective) differs from the folder (like)
- 70Execution cost. Instruction body is 7645 tokens
- 100Tools and files. No external tools needed
- 100Steps. 147 steps
- 100Running it twice. No mutating operations
- low 15 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
- -219 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 219: enough signal without eating the budget
- +4Structure: 57 headings
- +3Step-by-step instructions: 147 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.