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DD webclaw3

浏览器自动化 / 网页数据采集 / 爬虫抓取——用你自己的 Chrome 和已登录状态干活，不用重新登录、不用交账号密码、不怕反爬。搜东西、看网页、抓列表、导表格、下载内容、点按钮、填表单、发内容都能干；必须登录才能看的页面（xhs、抖音、微博、推特(X)、知乎、B站、公众号、淘宝、拼多多、Shopify 后台等）也能抓。跑通一次即可提炼成零 token、可定时自动运行的本地 skill，网站改版也能本地修。当用户提出任何需要操作浏览器或抓取网页数据的联网任务时使用。

ClawHub Agent Skills author: 石建 v1.0.2 MIT-0 21 files · 5 scripts body ≈ 4 603 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

浏览器自动化 / 网页数据采集 / 爬虫抓取——用你自己的 Chrome 和已登录状态干活，不用重新登录、不用交账号密码、不怕反爬。搜东西、看网页、抓列表、导表格、下载内容、点按钮、填表单、发内容都能干；必须登录才能看的页面（xhs、抖音、微博、推特(X)、知乎、B站、公众号、淘宝、拼多多、Shopify…

As a process D 42/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationShopifyAI 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
D
76/100
safety, quality, tests
Safety 60%
80
Quality 40%
69
Run on models
none yet
Process rating
D
42/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Dangerous commands cmd-pipe-to-shell references/setup.md:20
    Downloads and executes remote code from an unrecognised host (pipe to shell) (documentation table row)
    | `qoderwork-cn` | **QoderWork 国内**（PC 桌面） | `qoderclicn` | `curl -fsSL https://qoder.cn/install \| bash` | https://docs.qoder.cn/cli/qoder-cli-cn-get-started-quickly |
    table
  • medium Dangerous commands cmd-pipe-to-shell scripts/webclaw3.mjs:41
    Downloads and executes remote code from an unrecognised host (pipe to shell) (string literal in code, not executed)
    'qoderwork-cn': { type: 'qoder-code',     binary: 'qoderclicn', label: 'QoderWork 国内', doc: 'curl -fsSL https://qoder.cn/install | bash' },
    code literal
  • medium Dangerous commands cmd-install-from-url scripts/webclaw3.mjs:306
    Installs a package from an untrusted URL / archive (code comment)
    // 底层执行 npm i -g <skillDir>/dist/wc3-…ne-*.tgz（离线安装，无外部依赖）
    comment
  • medium Dangerous commands cmd-install-from-url scripts/webclaw3.mjs:347
    Installs a package from an untrusted URL / archive (code comment)
    // 手动兜底（供排障，不打给普通用户）：npm i -g <skillDir>/dist/wc3-…ne-*.tgz
    comment

Files scanned: 21. 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")
  • 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 "github"

Process rating: all ten parameters 42/100

  • 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
  • 30Running it twice. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (webclaw3) differs from the folder (webclaw3-browser-automation)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4603 tokens
  • 100Steps. 57 steps
  • low 12 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
  • -2localhost URLs: will not work for another user
  • -34 of 5 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 236: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (4 of 12)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This skill openly provides powerful logged-in Chrome automation, but it also starts unauthenticated local services and can automatically install and run mutable remote code with too little user control.
LLM: suspicious (high) · 18 Sept 2026