SKILLEMALL.ai

BB browser-use

Use this skill to drive Wisp Browser Runtime sessions (shared daily Chrome or workspace Chrome) — open pages, read them, click, fill and submit forms, navigate, switch tabs, or scrape content that needs the user's existing cookies and login state. Triggers when the user asks to do something in their browser, log into a site and act inside it, fill out a web form, click through a flow, or extract data from a page that requires being signed in. Tools: browser_setup (check/connect the extension), web_open_tab (open a URL), web_scan (read visible content + actionable elements with ready-made selectors), web_execute_js (click/type/navigate, or a JSON command for tabs/CDP), web_screenshot (see what the tab is showing — layout, charts, canvas, QR codes). Not for the built-in read-only web fetch — this is for interacting with a live browser.

The same skill from clawhub has been run on models: No improvement D see the result → This is a copy: its text may differ, so the grade is not carried over.

xuzhougeng/wisp-science Agent Skills author: xuzhougeng AGPL-3.0 1 file body ≈ 2 415 tokens Open the sourcegithub.com↗ analyzed 7 d ago

Use this skill to drive Wisp Browser Runtime sessions (shared daily Chrome or workspace Chrome) — open pages, read them, click, fill and submit forms…

As a process B 72/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
B
72/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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 · 0

    ✓ No critical or high findings

    Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "fold_cue"

    Process rating: all ten parameters 72/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 3 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 16 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2415 tokens
    • 100Progress reporting. Reports progress
    • low The response is described with custom markup (3 tags): a typed call is more reliable

    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
    • +3Description length 845: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 16 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.