BD 天台藏全集2026
天台藏全集2026检索与天台宗文献核验。支持简单问答和深度研究两种模式。所有论断强制标注出处（文献名/卷数/篇目）；凡可对应 CBETA 经号者附行级深链，精确到页栏行。遵循德山棒原则——不编造天台宗教义或祖师原文。当用户提问天台宗典籍、祖师著作、判教文献、止观论著、蕅益大师著作、天台藏检索等问题时使用。触发词：天台藏、天台宗文献、智者大师、蕅益大师、摩诃止观、法华玄义、法华文句、天台四教仪、教观纲宗、天台典籍等。
天台藏全集2026检索与天台宗文献核验。支持简单问答和深度研究两种模式。所有论断强制标注出处（文献名/卷数/篇目）；凡可对应 CBETA…
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 (天台藏全集2026) differs from the folder (tiantai-canon-2026)
- 100Tools and files. No external tools needed
- 100Steps. 36 steps
- 100Execution cost. Instruction body is 473 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 209: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 36 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.