BD 知识资产化巧匠
把问答库、逐字稿、会议记录、培训材料、长文章、课程文档、制度文件、操作手册等任何原始资料，转成可追溯、可检索、可更新、适合 RAG 和问答智能体直接使用的结构化知识资产（JSONL 主数据 + Markdown 审核视图）。用户说"把这些材料整理成知识库""把这份文档存进知识库""转成能检索的资料""拆成知识块""喂给智能体""结构化一下""做知识卡片""增量入库""去重查冲突"时触发。比 AI 通用能力强在：单一事实源双视图机制、来源可追溯、检索与回答字段分离、冲突/版本/回滚可见可管、10 万字级增量接入。不用于直接回答领域问题，不补写原始资料中没有的专业知识。
把问答库、逐字稿、会议记录、培训材料、长文章、课程文档、制度文件、操作手册等任何原始资料，转成可追溯、可检索、可更新、适合 RAG 和问答智能体直接使用的结构化知识资产（JSONL 主数据 + Markdown…
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: 9. 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 "agent_created" - note
frontmatter-keyunknown frontmatter key "trigger"
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 (知识资产化巧匠) differs from the folder (knowledge-asset-craftsman)
- 100Tools and files. No external tools needed
- 100Steps. 96 steps
- 100Execution cost. Instruction body is 2105 tokens
- 100Running it twice. No mutating operations
- low 11 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -31 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 286: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 96 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.