BD 大藏经学术引用生成器
大藏经（CBETA）学术引用（脚注）生成器，支持国内出版社纸本版本（中华大藏经/中华书局、永乐北藏/线装书局、房山石经/华夏出版社、嘉兴藏等）。两种用法：① 已知 CBETA 出处编号（如 T33, no. 1717, p. 869b21-22）补全出版社/出版年出脚注；② 只有一句经文，自动反查册卷页栏行并出脚注。默认输出简体、可直接粘贴进脚注的两行（文献条目 + CBETA 定位）。当用户需要大藏经出处查询、引用溯源、脚注格式、学术引用规范、中华大藏经引用、按经文找出处时使用。触发词：CBETA 引用、大藏经出处、脚注引用、引用溯源、藏经出版社、学术引用格式、中华大藏经、按经文找出处、T33 no.1717。
大藏经（CBETA）学术引用（脚注）生成器，支持国内出版社纸本版本（中华大藏经/中华书局、永乐北藏/线装书局、房山石经/华夏出版社、嘉兴藏等）。两种用法：① 已知 CBETA 出处编号（如 T33, no.
As a process D 41/100 · 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: 8. 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 "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "type" - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 41/100
- 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 (大藏经学术引用生成器) differs from the folder (dazangjing-xueshu-yinyong)
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 41 steps
- 100Execution cost. Instruction body is 2126 tokens
- 100Running it twice. No mutating operations
- low 14 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
- +1No license
- +2Single-language instructions
- +3Description length 310: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 41 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.