AD standards-corpus-classifier
将一批标准 PDF（国家 GB / 行业 QX·JB·YY… / 地方 DB11·DB31…）按「级别 × 领域」自动归置： 解析文件名中的标准代号，查注册表得级别与归属，按名称关键词分入编号领域子文件夹， 并产出 CSV 编目与 HTML 可视化报告，支持按分类/年份/标准号/名称筛选打包下载。 This skill should be used when a user has a folder of standard PDFs (国家标准/行业标准/地方标准/团体标准/企业标准) and wants them classified, organized into domain subfolders, or inventoried — e.g. "把这批标准按建筑、食品、交通等分类", "整理一下地方标准文件夹", "给这些 PDF 出个分类目录", "下载某分类/某年度标准".
将一批标准 PDF（国家 GB / 行业 QX·JB·YY… / 地方 DB11·DB31…）按「级别 × 领域」自动归置： 解析文件名中的标准代号，查注册表得级别与归属，按名称关键词分入编号领域子文件夹， 并产出 CSV 编目与 HTML 可视化报告，支持按分类/年份/标准号/名称筛选打包下载。 This…
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "emoji"
Process rating: all ten parameters 43/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 43 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1531 tokens
- 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
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 396: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 43 items
- +4Has examples (6 code blocks)
- +3All 5 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.