AD html-to-selenium
将任意网页转换为可运行的 Python Selenium 自动化脚本. 使用场景: (1) 分析网页结构并生成自动化代码; (2) 帮用户完成指定网页操作 (登录、填表、点击、搜索等); (3) 生成 Selenium 脚本骨架. 当用户提到"分析页面"、"生成 selenium"、"网页自动化"、"帮我操作 xxx"、"帮我完成 xxx"时触发.
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedurePlaywrightSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- 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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 将任意网页转换为可运行的 Python Selenium 自动化脚本. 使用场景: (1) 分析网页结构并生成自动化代码; (2) … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 39/100
- 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
- 40Consistency. Frontmatter name (html-to-selenium) differs from the folder (html-element-to-selenium-automation)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 37 steps
- 100Execution cost. Instruction body is 1494 tokens
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
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 175: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.
External checks
ClawHub: suspicious
This is a real browser-automation skill that mostly does what it says, but it has broad activation and can use credentials to log in and save private page contents without enough guardrails.
LLM: suspicious (high) · VirusTotal: · 29 May 2026