SKILLEMALL.ai

BC 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。

ClawHub Agent Skills author: 郭立lee v1.0.2 MIT-0 2 files body ≈ 882 tokens Open the sourceclawhub.ai analyzed 2 d ago

Browser automation in the user's real, logged-in Chrome.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSlackAWSInfrastructureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
94
Quality 40%
81
Run on models
none yet
Process rating
C
56/100
Has gaps
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.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • medium Exfiltration intent-browser-credential-store skill-card.md:17
      Accesses a browser credential / cookie store (documentation of a security skill)
      Developers and agent operators use this skill when an agent needs live browser access, authenticated page interaction, web data extraction, screenshots, or exploratory web application testing in Chrom
      security skill
    • low Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:29
      Pipe-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

    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 56/100

    • 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
    • 50Failures and branches. 0 branches, has a failure section
    • 85Steps. 6 steps, 1 vague phrases
    • 100Tools and files. Tools declared in frontmatter
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 882 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)
    • +3Description length 817: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 6 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: suspicious
    This browser-automation skill is coherent in purpose, but it asks agents to use a real logged-in Chrome session by default and relies on unsafe remote installation and dynamic unaudited runtime instructions.
    LLM: suspicious (high) · 9 Sept 2026