BD 大藏经CBETA2026
大藏经CBETA2026简体版检索与佛学引文核验。支持简单问答和深度研究两种模式。所有论断强制标注CBETA出处（经号/卷数/页栏），遵循德山棒原则——不编造佛经原文。当用户提问佛教经典、经论原文、律藏、论藏、CBETA检索、佛经出处核对等问题时使用。触发词：大藏经、CBETA、佛经、经论、律藏、论藏、阿含、般若、华严、法华、涅槃、CBETA出处、佛经原文等。
大藏经CBETA2026简体版检索与佛学引文核验。支持简单问答和深度研究两种模式。所有论断强制标注CBETA出处（经号/卷数/页栏），遵循德山棒原则——不编造佛经原文。当用户提问佛教经典、经论原文、律藏、论藏、CBETA检索、佛经出处核对等问题时使用。触发词：大藏经、CBETA、佛经、经论、律藏、论藏、阿含、般若、华…
As a process D 49/100 · 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 "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "agent_created"
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 (大藏经CBETA2026) differs from the folder (cbeta2026)
- 100Tools and files. No external tools needed
- 100Steps. 43 steps
- 100Execution cost. Instruction body is 775 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
- +1No license
- +2Single-language instructions
- +3Description length 181: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 43 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.