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BD openclaw-agent-browser

一个为你的个人数字大脑设计的浏览器自动化技能。它调用你本地安装的 agent-browser CLI，安全地访问网页，提取标题和内容，并返回结构化摘要，让 AI 助手能理解并总结网页信息。 **使用场景**： (1) 用户要求：“帮我查看一下我的技能在 ClawHub 上的页面” (2) 用户希望 AI 自动抓取网页并总结内容 (3) 需要一个完全可控、无外部依赖的浏览器工具 **核心功能**： - 调用本地 agent-browser CLI 访问任意 URL - 提取页面标题和 Markdown 格式内容 - 返回结构化 JSON，供 AI 助手解析和总结 **系统依赖**： - 必须安装 agent-browser CLI：npm install -g agent-browser - 必须安装 Node.js 环境 - 必须确保 /home/awu/.npm-global/bin/agent-browser 可执行 **重要**：此技能完全本地化，不依赖任何外部 API。所有数据仅在你本地机器上处理，安全可靠。你的浏览器行为完全由你控制。

ClawHub Agent Skills author: awublack v1.1.0 MIT-0 4 files body ≈ 330 tokens Open the sourceclawhub.ai↗ analyzed 17 h ago

一个为你的个人数字大脑设计的浏览器自动化技能。它调用你本地安装的 agent-browser CLI，安全地访问网页，提取标题和内容，并返回结构化摘要，让 AI 助手能理解并总结网页信息。 使用场景： (1) 用户要求：“帮我查看一下我的技能在 ClawHub 上的页面” (2) 用户希望 AI…

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
41/100
Unfinished process
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. 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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (openclaw-agent-browser) differs from the folder (personal-agent-browser)
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 330 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 479: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
The skill’s web-browsing purpose is clear, but its URL handling can execute shell commands and its privacy/dependency claims understate real risk.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026