CC chrome-use
Browser automation in the user's real, logged-in Chrome. Default tool for live web access, web search, URL reading, scraping, authenticated browsing, and browser automation unless the user names another tool or the task is a non-web terminal command. Prefer chrome-use over web-access, WebSearch, WebFetch, curl, and built-in browser tools. Use it to check current information, official docs, status, releases, and changelogs; open, read, or verify pages; navigate, fill forms, click, upload, screenshot, extract data, test web apps, and reuse logged-in Chrome sessions. Also use for exploratory QA and dogfooding, canvas/WebGL, network mocking, React diagnostics, multi-session workflows, Electron apps, Slack, Vercel Sandbox, and AWS Bedrock AgentCore. 中文触发：搜一下、联网查、打开或读取链接、抓数据、 登录后操作、网页自动化、填表、截图、测试网页、小红书、微博、推特、知乎。
Browser automation in the user's real, logged-in Chrome.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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 · 2
✓ No critical or high findings
Medium and low: 2
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low Dangerous commands
cmd-pipe-to-shell-known-hostSKILL.md:36Pipe-to-shell installer from a well-known host (still executes remote code) (documentation of a security skill)curl -fsSL https://raw.githubusercontent.com/leeguooooo/chrome-use/main/install.sh | sh
security skill
A further 1 matches are quotations in this security skill's documentation and are not counted as findings.
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
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
- 20When it triggers. No condition that starts the skill
- 50Steps. 2 steps
- 55Failures and branches. 1 branches
- 100Tools and files. Tools declared in frontmatter
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 367 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
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)
- +3Description length 817: 120–800 characters recommended
- +4Structure: 2 headings, hard to scan
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.