browser
Skill2 starsChanged 9 days agoApache-2.0View on GitHub
Fast scripted work with websites: browser-harness (CDP) plus a page snapshot as a numbered table, so one call can open, fill, click, walk result pages and extract data, and the site's own data (internal API, embedded JSON) comes before DOM parsing. Use when something has to be done on a site or pulled from it: "go to this site", "find it on a job board / marketplace", "collect from this page / from several pages", "scrape it", "get it through the site's API", "fill in the form", "click around the site", "does the search / form work", "screenshot the site"; and when WebFetch returned an empty shell, a refusal, or the page is rendered by JS. Plain reading of a public page, docs or a documented API is WebFetch/curl, not this. Showing the user a page in the app pane or their own dev server: the built-in browser. Acting in their main Chrome with their logins: Claude in Chrome.
68 other projects use a version of this.
Adopted by
Most recently taken up by
- wubinKKK/private-ai-workbenchtheir own version, first seen Nov 8, 2026
- EthanLLL/loomtheir own version, first seen Nov 8, 2026
- matthewwong525/WongStacktheir own version, first seen Nov 8, 2026
- Y91R/chromectltheir own version, first seen Nov 2, 2026
- derwells/learn-skilltheir own version, first seen Nov 1, 2026
- brightdata/skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use V3 Core Implementation, V3 DDD Architecture and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ruvnetSkillV3 Core Implementation
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
Also in 15 projects that use this
ruvnetSkillV3 DDD Architecture
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
Also in 15 projects that use this
- +10 more from ruvnet
Other versions68 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 68
- ruvnet/wifi-densepose★ 103ksame name
- ruvnet/RuView★ 103ksame name
- ruvnet/claude-flow★ 80ksame name
- ruvnet/ruflo★ 79ksame name
- ruvnet/ruvector★ 4.7ksame name
- ruvnet/RuVector★ 4.7ksame name
- browserbase/agent-browse★ 3.7ksame name
- VibiumDev/vibium★ 3ksame name
- cexll/myclaude★ 2.8ksame name
- proffesor-for-testing/agentic-qe★ 524same name
58 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository20 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 58 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 55
When curl or WebFetch got 403 "Just a moment..." (Cloudflare) or a refusal, the browser usually gets through: studwork.ru gave curl 403 and …
- Distinctive: line 63
When you need data (a list, fields, many pages) rather than an action, go down this ladder and stop at the first rung that delivers.
- Very specific: line 199
Start uv run --no-project "${CLAUDE_PLUGIN_ROOT}/skills/browser/scripts/bh.py" -c "wait_captcha_gone(600)" with run_in_background.
“Common” is measured: kept by at least 6 in 10 of the 58 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
browser
The agent writes a short Python script; the script does everything that needs no fresh look at the page in one call and prints a snapshot. Speed comes from the number of calls, not from fast clicks: each call costs about a second of overhead, a snapshot costs 0.01-0.13 s.
Engine: browser-harness (MIT), the Python package
browser_harness, installed separately as a uv tool (references/setup.md). The snapshot
is ported from jev-ultrafast (snapshot.js,
MIT): one CDP call instead of the accessibility tree and screenshots; for them it cut browser
protocol calls from 1,092 to 101. Pagination follows the ideas of
maxun (AGPL-3.0: ideas only, the code is ours). Racing a
click against a native dialog follows playwright-core's _raceAgainstModalStates
(playwright-cli, Apache-2.0). Install,
telemetry, profile: references/setup.md.
Script first, the browser is reconnaissance
The rule: use a script wherever one can work; the browser walks a site to find
how its data and actions go (internal API, headers, anti-bot), so that a script or skill can be
written from that. Before opening a site, look for an existing script: sites.md for the site,
memory, the project's own tools. Kuper shows why: the browser hit a ServicePipe CAPTCHA and
then a "turn off your VPN" page, while a small curl_cffi script returned prices through the same
VPN in seconds. A site that will be used again ends the run with its recipe (endpoints,
params, what blocks) in references/api.md, or a script.
Which browser
| Task | Tool |
| A site that already has a script | the script, not a browser |
| Read a public page, docs, a documented API | WebFetch / curl, no browser |
| Many steps, a form, N result pages, a JS-rendered site, a site's internal API | this skill |
| The user wants to watch; their own dev server | built-in browser (preview_start, browser_batch) |
| Needs the user's logins from their main Chrome | Claude in Chrome |
| Transcript of a YouTube video | the video skill (transcript.py); the browser only does search and metadata |
When curl or WebFetch got 403 "Just a moment..." (Cloudflare) or a refusal, the browser
usually gets through: studwork.ru gave curl 403 and opened in the browser.
This skill runs a separate Chrome (own profile, port 9222). The user's main browser is never touched. They can log in inside the agent profile themselves when needed.
Data: API before DOM
When you need data (a list, fields, many pages) rather than an action, go down this ladder and stop at the first rung that delivers.
- Public API (
api.hh.ru, anything documented). May refuse:api.hh.rugave our network403, then hung. - The page's internal API.
sniff(lambda: nav(url)), on a feed also a scroll or a click, shows where the page itself goes. Read withapi_body(id); for another page or query usereplay(call, url=…, body=…), which resends the page's own headers: a barefetch_jsonof the WB search URL got403,replaygot page 2. habr, vc, dzen, YouTube, plati, playerok and WB returned structure (price, seller, score, cursor) in 1-3 s per page this way. Another domain's API (api.digiseller.comfrom plati): keep the defaultcredentials="same-origin";"include"failed CORS. - JSON baked into the HTML.
embedded_json(): hh puts the whole result list intotemplate#HH-Lux-InitialState(50 vacancies with every field), YouTube intoytInitialData. Find the path withjson_paths(obj, "word", keys_only=True). - DOM:
cards(),links()andjs()with selectors, below; many pages viapaginate(). funpay and ggsel have neither API calls nor stable embedded state, so they live here.
Per-site recipes and what can break: references/api.md.
Running
Anything longer than a line is written with Write into the scratchpad and passed as a file:
uv run --no-project "${CLAUDE_PLUGIN_ROOT}/skills/browser/scripts/bh.py" path/to/script.py
uv run --no-project "${CLAUDE_PLUGIN_ROOT}/skills/browser/scripts/bh.py" -c 'snap()'
uv run --no-project "${CLAUDE_PLUGIN_ROOT}/skills/browser/scripts/bh.py" --status # Chrome alive? telemetry off?bh.py starts the agent Chrome and sets the environment. No heredoc: the script goes to the
harness stdin, and long heredocs in Bash break silently here.
Loop
s = go("https://site/search?q=...") # navigate + wait + snapshot
fill("e16", "Python стажёр") # eN refs from the last snapshot
act("e18") # click; waits if the URL changed
snap(text=0) # fresh look at the end of the same scriptThe snapshot prints a header (title, URL, scroll, how many offscreen and covered, dialog open,
CAPTCHA), then controls eN role "label" = "value" → href, then visible text. Refs live in the
page (window.__bh), so they survive the next call while the page stays the same.
Rules learned from runs
URL params before the form, but check the results arrived. On hh.ru the search box and
"Найти" opened a login modal, while /search/vacancy?text=…&experience=noExperience gave
filtered results at once. habr is the opposite: /ru/search/?q=… opens the form with the query
but no results ("Нажмите на иконку поиска") and links() returned zero. Empty where you
expect results: read the page text before changing selectors.
Result list from the DOM: cards(item_url_regex). From each item link it climbs to the
largest block holding no link to another item and returns that card's text lines (title,
price, seller, rating) without per-site selectors: Yandex Market, ggsel, WB, ozon and hh gave
8-40 cards in 2-6 s. links() is for plain title lists (articles, videos); on product cards
it picks the wrong text (Market's longest link was the price, ggsel's product link says only
"Купить"). Exact fields via js() with selectors, looped over pages in one script.
Article text: compare container lengths (article, main, [itemprop=articleBody]) and
take the fullest with page_text. Per site: references/sites.md.
A slow site outlives the daemon's 5 s wait on Page.navigate (imnotarobot.fun, hh once).
nav() prints "slower than 5 s, still waiting" and keeps waiting; bare goto_url raises.
Many pages of a DOM list: paginate(item_regex), not a hand loop. It finds how the list
goes on (a rel=next link, the page number after the active one, "Дальше", a "Показать ещё"
button, otherwise infinite scroll), walks it and stops by itself: the control is gone, rounds
bring nothing new, "next" leads to a visited page, a CAPTCHA, limit. Read .stopped before
reporting: 40 items at "last page" and at "control covered" are different answers. Items are
deduped because pages repeat records (hh re-ranks: 3 pages gave 150 rows, 100 unique); report
the unique count. Controls count only next to the main list, the block with most item links:
habr has article links after its pager, vc a widget with its own "Показать ещё" before the feed.
The string form collects with cards(); for title lists pass lambda: links(P) and after=P
(on habr cards returns 7 scraps). Checked on hh, habr, ggsel, funpay, vc on 24.09.2026. This
is the DOM rung: a feed with an internal API (vc, WB) is still faster via sniff and a cursor.
Navigate with go()/nav(), not goto_url(). nav() waits until the document itself is
replaced, then settle(). With bare goto_url and a pause the YouTube snapshot was taken from
the old page and returned None. settle() does not wait for complete (hh results ready at
1.6 s, complete at 7 s because of ads) and does not accept a page without text (studwork sat
on a spinner with an unchanged DOM). Waiting for something specific (a panel, a list after a
click): wait_for_element(selector), since settle() is happy with any text.
A chrome-error://… URL means retry once. dzen once tripped on an empty response from its
SSO; the second attempt went through.
Screenshot when the snapshot contradicts expectations. Enter did not navigate, or the header
says "DIALOG OPEN" out of nowhere: one capture_screenshot(path, max_dim=1200) and Read. On
hh that showed a narrow window had served the mobile layout with a sheet over a modal. In a loop
that goes to plan, no screenshots.
fill returns what the field accepted. It prints any mismatch: maxlength, a mask or a
character filter is the site's answer, not a broken input. force=True pushes the value through
the native setter past those limits, only when you know the field swallows honest input.
The snapshot sees only the viewport; search the whole page with find("text"). On YouTube
the description expander "...ещё" was below the fold and missing, while the viewport held another
"Ещё" (the actions menu), and a click on the first hit went wrong. find() prints every match
with "offscreen": choose by context. Labels are the visible text; aria-label goes in brackets
when it differs ("Отклонить все" on YouTube has aria "Запретить использование файлов cookie…").
Read what act says changed, and check it is the change you wanted. act watches the
page up to 1.5 s and prints the difference: navigation, a dialog opening or closing, the
target's expanded/checked/value, elements and text added or removed; nothing changed
means the click did nothing visible. A change is not yet the right change: on YouTube the first
"Ещё" is the actions menu, its click gave +20 elements, text +13 chars while the description
stayed shut; the real "...ещё" gave +803 elements, text +880 chars (26.09.2026). When one
thing matters, check it directly: an attribute (is-expanded, aria-expanded), a new element,
a new URL. A change later than 1.5 s (a slow XHR) shows as nothing changed: pass wait=.
NATIVE DIALOG (alert/confirm/prompt) freezes the page until dialog() (dismiss) or
dialog(accept=True); act, snap and nav report it instead of hanging. Details and how it
differs from DIALOG OPEN: references/limits.md.
act errors say what to do. "covered by X" means close X (often a modal with Close in
the snapshot). StaleRef means take a fresh snap(). A nudge modal can just be closed: on hh
closing it continued the search.
Print only what you need. go() and snap() print themselves; the snapshot has a short
repr, so print(go(...)) will not dump the page. Cut text with text=0 or text=800, many
controls with limit=.
CAPTCHA: detect and hand over, never solve
Solving a CAPTCHA (checkbox, image grid, distorted text, slider puzzle, digits) is off limits for the agent, including on the user's direct request: it exists to stop automation. The skill's job is to notice it and hand the window to the user.
- The snapshot header shows
CAPTCHA: kind;captcha()returns the kinds (reCAPTCHA, hCaptcha, Cloudflare Turnstile and challenge page, Yandex SmartCaptcha and itsshowcaptchapage, GeeTest slider). The invisible reCAPTCHA v3 badge does not count: it blocks nothing. show()brings the agent Chrome to the front.- Tell the user in chat: which site, what they need to do, that the script continues by itself.
- Start
uv run --no-project "${CLAUDE_PLUGIN_ROOT}/skills/browser/scripts/bh.py" -c "wait_captcha_gone(600)"withrun_in_background; when it returnsCAPTCHA gone, continue from the same page.
A CAPTCHA on every request means the site is pushing back: slow down or switch to its API
instead of asking the user again and again. A JS anti-bot check that the page passes by itself is
not a CAPTCHA: WB runs one on every visit (__wbaas/challenges/antibot, 498 then 200),
the real browser clears it with no input, nothing to hand over.
Boundaries
- Login, password, SMS code: stop and ask the user. SSO in an already logged-in profile is fine.
- A cookie banner with only "Понятно": leave it, agreeing for the user is not ours to do and there is no refusal. A "Reject" option: press it (YouTube: "Отклонить все").
- The page bounced to
/login: a login wall, stop and tell the user (studwork calendar). - Submitting a form, applying, buying, messaging: only after the user's yes to that exact action.
dialog(accept=True)on aconfirm("Удалить?", "Отправить?", "Покинуть страницу?") is the same action: dismiss is the default, accept needs the user's yes. A plainalerthas only OK. - The user's data (email, name, phone) never goes into headers or params of requests to sites, even
when an API asks for "contact in User-Agent". An email once leaked to
api.hh.ruexactly this way. - Internal APIs: read only and do not hammer, one page at a time, a human-like pause.
Helpers
Page: go, nav, snap, find, links, cards, act, fill, pick, dialog, settle, page_text.
Lists: paginate, pager.
Data: sniff, api_body, replay, fetch_json, embedded_json, embedded, json_paths, http_get.
CAPTCHA handoff: captcha, show, wait_captcha_gone.
Signatures: references/helpers.md.
When it does not work
What the snapshot cannot see (shadow DOM, iframes, canvas) and known harness pitfalls on Windows: references/limits.md. Per site: references/sites.md.
Does it work?
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