SKILLEMALL.ai

BC browser-automation-v2-tool-free

浏览器自发化助手免费版是面向个人开发者和轻量任务场景的浏览器自发化工具。聚焦\"打开页面-等待加载-提取数据-关闭标签\"四步基础流程,让重复的网页操作自发化。Use. 适用于需要browser automation v2 tool相关能力的开发场景,包含结构化的工作流程和可复用的模板,帮助用户快速完成任务并保持代码质量.

ClawHub Hermes author: 天轰穿 v1.0.2 MIT-0 2 files body ≈ 2 670 tokens Open the sourceclawhub.ai analyzed 2 d ago

浏览器自发化助手免费版是面向个人开发者和轻量任务场景的浏览器自发化工具。聚焦\"打开页面-等待加载-提取数据-关闭标签\"四步基础流程,让重复的网页操作自发化。Use.

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationPlaywrightCloudflarePersonal productivitySoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Unexpected scalar at node end at line 5, column 88: …清理、超时重试、智能等待与基础表单填写.。浏览器自动化助手免费版是面向个人开发者和轻量任务场景的浏览器自动化工具。聚焦"打开页面-等待加载-提取数据-关闭标" ^^^^^^^^^^^^^^^^^^^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 162 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "edition"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "pricing_tier"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2670 tokens
  • 100Running it twice. No mutating operations
  • low 13 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
  • +2Single-language instructions
  • +3Description length 162: enough signal without eating the budget
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (16 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This browser automation skill is mostly aligned with its purpose, but it needs review because it encourages credentialed form submission and external callbacks without clear user-control safeguards.
LLM: suspicious (medium) · 27 Jul 2026