BF xiaoyaoclaw-web-clipper
OpenClaw web clipper skill: save any web page as clean local Markdown with YAML frontmatter. Dual-engine extraction (readability-lxml + trafilatura fallback chain), Chinese filename safe, batch URL clipping with dedup, output lands in knowledge/clippings/ ready for kb-retriever indexing. Use when user asks to clip/save/collect a web page or article (剪藏/收藏/保存网页 文章/网页转 Markdown). 中文：OpenClaw 网页剪藏工具。把任意网页保存为带 frontmatter 的本地 Markdown：双引擎正文提取（readability-lxml + trafilatura 降级链）、中文文件名安全、批量剪藏 + 去重；输出直通 knowledge/clippings/， 配合 kb-retriever 建索引即可检索，构成六件套的「输入」环节（家 initializer → 内容 memory-distill → 状态 tracker → 知识 kb-retriever → 健康 auditor → 输入 web-clipper）。
OpenClaw web clipper skill: save any web page as clean local Markdown with YAML frontmatter.
As a process F 35/100 · Will not run — References files that are not bundled: ...
How to improve
- The text references files that are not there: add them or drop the references.
- 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
missing-refreference to a missing file: ...
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: ...
- 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
- 100Steps. 20 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 607 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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -31 of 2 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 657: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 20 items
- +4Has examples (5 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.