AC novel-scraper-pro
智能小说抓取工具 V6，支持自动翻页、分页补全、章节号自动解析、内存监控、中断续抓。 使用 curl+BeautifulSoup 抓取笔趣阁等小说网站，输出格式化 TXT 文件。 默认每 10 章合并为一个文档，避免文件零散分布。 自动检测分页并补全，智能跳过非小说内容（作者感言、抽奖预告等）。 内存监控和中断续抓默认开启，支持 SPA 网站抓取（--force-spa）。 Use when: 抓取网络小说章节、批量下载小说内容、保存小说为 TXT 格式。
As a process C 51/100 · Has gaps — 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
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 5 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 818 tokens
- 100Running it twice. No mutating operations
- low 10 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
- -214 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 230: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 5 items
- +4Has examples (13 code blocks)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.