form-filling
Fill out web forms, submit data, and handle login or registration flows. Trigger when the user asks to: fill a form, submit data on a website, log in to a site, register an account, complete a checkout, enter information into fields, or automate form submission.
Install
npx skills add https://github.com/billy-enrizky/openbrowser-ai/tree/main/plugin/skills/form-filling
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install billy-enrizky-openbrowser-ai@llmmart
git clone https://github.com/billy-enrizky/openbrowser-ai.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole billy-enrizky/openbrowser-ai collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Form Filling
Automate filling web forms including login, registration, checkout, and multi-step form wizards using Python code execution.
All code runs via openbrowser-ai -c. The daemon starts automatically and persists variables across calls. All browser functions are async -- use await.
The CLI daemon also persists cookies and login state in ~/.config/openbrowser/profiles/daemon/storage_state.json, so authenticated sessions can be reused across later runs.
Setup
Before running, verify openbrowser-ai is installed:
openbrowser-ai --help
If not found, install:
# macOS/Linux
curl -fsSL https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.sh | sh
# Windows (PowerShell)
irm https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.ps1 | iex
Workflow
Step 1 -- Navigate to the form page
openbrowser-ai -c - <<'EOF'
await navigate("https://example.com/login")
state = await browser.get_browser_state_summary()
print(f"Page: {state.title} ({state.url})")
print(f"Interactive elements: {len(state.dom_state.selector_map)}")
EOF
Step 2 -- Discover form fields
openbrowser-ai -c - <<'EOF'
# List all interactive elements with their indices
state = await browser.get_browser_state_summary()
for index, element in state.dom_state.selector_map.items():
tag = element.tag_name
text = element.get_all_children_text(max_depth=2)[:60]
placeholder = element.attributes.get("placeholder", "")
input_type = element.attributes.get("type", "")
name = element.attributes.get("name", "")
print(f"[{index}] <{tag}> type={input_type} name={name} placeholder=\"{placeholder}\" text=\"{text}\"")
EOF
Step 3 -- Fill text inputs
openbrowser-ai -c - <<'EOF'
# Fill fields using their indices from Step 2
await input_text(index=5, text="user@example.com")
await input_text(index=7, text="secure-password")
EOF
For fields that need clearing first:
openbrowser-ai -c - <<'EOF'
await click(index=5)
await evaluate("document.activeElement.select()")
await input_text(index=5, text="new-value")
EOF
Step 4 -- Handle dropdowns
Standard HTML select elements:
openbrowser-ai -c - <<'EOF'
await select_dropdown(index=12, text="United States")
EOF
To see available options first:
openbrowser-ai -c - <<'EOF'
options = await dropdown_options(index=12)
print(options)
EOF
Custom dropdown components:
openbrowser-ai -c - <<'EOF'
await evaluate("""
(function(){
const select = document.querySelector("select#country");
select.value = "US";
select.dispatchEvent(new Event("change", { bubbles: true }));
})()
""")
EOF
Step 5 -- Handle checkboxes and radio buttons
openbrowser-ai -c - <<'EOF'
await click(index=15) # Click checkbox/radio
# Verify state
checked = await evaluate("""document.querySelector("input[name=agree]").checked""")
print(f"Checkbox checked: {checked}")
EOF
Step 6 -- Submit the form
openbrowser-ai -c - <<'EOF'
await click(index=20) # Click submit button
await wait(2)
# Verify submission
state = await browser.get_browser_state_summary()
print(f"After submit: {state.url}")
EOF
Or submit via JavaScript:
openbrowser-ai -c - <<'EOF'
await evaluate("document.querySelector(\"form\").submit()")
EOF
Step 7 -- Verify submission result
openbrowser-ai -c - <<'EOF'
# Check for success/error messages
result = await evaluate("""
(function(){
const success = document.querySelector(".success, .alert-success, [role=\"alert\"]");
const error = document.querySelector(".error, .alert-danger, .validation-error");
return {
success: success?.textContent?.trim(),
error: error?.textContent?.trim(),
url: window.location.href
};
})()
""")
print(result)
EOF
Step 8 -- Handle multi-step forms
openbrowser-ai -c - <<'EOF'
for step in range(1, 5):
# Discover fields for current step
state = await browser.get_browser_state_summary()
print(f"Step {step}: {len(state.dom_state.selector_map)} elements")
# Fill fields (indices vary per step)
# ... fill fields here ...
# Click Next/Continue
# Find the next button
for idx, el in state.dom_state.selector_map.items():
text = el.get_all_children_text(max_depth=1).lower()
if "next" in text or "continue" in text:
await click(index=idx)
await wait(2)
break
EOF
Tips
- Code is piped via stdin using heredoc (
-c - <<'EOF'), so all Python syntax works without shell escaping issues. - Always discover fields with
browser.get_browser_state_summary()before typing -- do not guess element indices. - For sensitive data (passwords, tokens), confirm with the user before entering values.
- Use
evaluate()to bypass custom components that do not respond to standard click/type. - Variables persist between
-ccalls while the daemon is running, so you can store field indices in one call and use them in the next. - Check for CAPTCHA or bot detection; notify the user if manual intervention is needed.
Cleanup
This step is mandatory. Run it after the form submission finishes, whether the submit succeeded or the form rejected the input. Without it, the daemon keeps Chrome running until its 10-minute idle timeout, leaving a stale browser process, a locked profile, and (on macOS/Linux desktop) a visible window with the form still on screen.
Stop the daemon, then verify it is gone:
openbrowser-ai daemon stop
openbrowser-ai daemon status
daemon stop closes every tab, exits Chrome, flushes saved cookies/login state to the profile (so the next run reuses the login), and shuts down the daemon process. daemon status should report the daemon is not running. If it still reports running, the daemon is wedged, force-kill it:
pkill -f 'openbrowser.*daemon' || true
Form runs can fail mid-workflow (validation error, CAPTCHA, network drop). Guarantee cleanup with a shell trap so a half-filled form never leaks a browser:
trap 'openbrowser-ai daemon stop >/dev/null 2>&1 || true' EXIT
# ... openbrowser-ai -c calls here ...
Do not rely on the idle timeout. Do not call done() as a substitute, done() only marks the task complete inside the agent loop, it does not close the browser.
Files (openbrowser-ai)
-
SKILL.md 6.6 KB
--- name: form-filling description: | Fill out web forms, submit data, and handle login or registration flows. Trigger when the user asks to: fill a form, submit data on a website, log in to a site, register an account, complete a checkout, enter information into fields, or automate form submission. allowed-tools: Bash(openbrowser-ai:*) Bash(curl:*) Bash(uv:*) Bash(irm:*) Read Write --- # Form Filling Automate filling web forms including login, registration, checkout, and multi-step form wizards using Python code execution. All code runs via `openbrowser-ai -c`. The daemon starts automatically and persists variables across calls. All browser functions are async -- use `await`. The CLI daemon also persists cookies and login state in `~/.config/openbrowser/profiles/daemon/storage_state.json`, so authenticated sessions can be reused across later runs. ## Setup Before running, verify openbrowser-ai is installed: ```bash openbrowser-ai --help ``` If not found, install: ```bash # macOS/Linux curl -fsSL https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.sh | sh # Windows (PowerShell) irm https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.ps1 | iex ``` ## Workflow ### Step 1 -- Navigate to the form page ```bash openbrowser-ai -c - <<'EOF' await navigate("https://example.com/login") state = await browser.get_browser_state_summary() print(f"Page: {state.title} ({state.url})") print(f"Interactive elements: {len(state.dom_state.selector_map)}") EOF ``` ### Step 2 -- Discover form fields ```bash openbrowser-ai -c - <<'EOF' # List all interactive elements with their indices state = await browser.get_browser_state_summary() for index, element in state.dom_state.selector_map.items(): tag = element.tag_name text = element.get_all_children_text(max_depth=2)[:60] placeholder = element.attributes.get("placeholder", "") input_type = element.attributes.get("type", "") name = element.attributes.get("name", "") print(f"[{index}] <{tag}> type={input_type} name={name} placeholder=\"{placeholder}\" text=\"{text}\"") EOF ``` ### Step 3 -- Fill text inputs ```bash openbrowser-ai -c - <<'EOF' # Fill fields using their indices from Step 2 await input_text(index=5, text="user@example.com") await input_text(index=7, text="secure-password") EOF ``` For fields that need clearing first: ```bash openbrowser-ai -c - <<'EOF' await click(index=5) await evaluate("document.activeElement.select()") await input_text(index=5, text="new-value") EOF ``` ### Step 4 -- Handle dropdowns Standard HTML select elements: ```bash openbrowser-ai -c - <<'EOF' await select_dropdown(index=12, text="United States") EOF ``` To see available options first: ```bash openbrowser-ai -c - <<'EOF' options = await dropdown_options(index=12) print(options) EOF ``` Custom dropdown components: ```bash openbrowser-ai -c - <<'EOF' await evaluate(""" (function(){ const select = document.querySelector("select#country"); select.value = "US"; select.dispatchEvent(new Event("change", { bubbles: true })); })() """) EOF ``` ### Step 5 -- Handle checkboxes and radio buttons ```bash openbrowser-ai -c - <<'EOF' await click(index=15) # Click checkbox/radio # Verify state checked = await evaluate("""document.querySelector("input[name=agree]").checked""") print(f"Checkbox checked: {checked}") EOF ``` ### Step 6 -- Submit the form ```bash openbrowser-ai -c - <<'EOF' await click(index=20) # Click submit button await wait(2) # Verify submission state = await browser.get_browser_state_summary() print(f"After submit: {state.url}") EOF ``` Or submit via JavaScript: ```bash openbrowser-ai -c - <<'EOF' await evaluate("document.querySelector(\"form\").submit()") EOF ``` ### Step 7 -- Verify submission result ```bash openbrowser-ai -c - <<'EOF' # Check for success/error messages result = await evaluate(""" (function(){ const success = document.querySelector(".success, .alert-success, [role=\"alert\"]"); const error = document.querySelector(".error, .alert-danger, .validation-error"); return { success: success?.textContent?.trim(), error: error?.textContent?.trim(), url: window.location.href }; })() """) print(result) EOF ``` ### Step 8 -- Handle multi-step forms ```bash openbrowser-ai -c - <<'EOF' for step in range(1, 5): # Discover fields for current step state = await browser.get_browser_state_summary() print(f"Step {step}: {len(state.dom_state.selector_map)} elements") # Fill fields (indices vary per step) # ... fill fields here ... # Click Next/Continue # Find the next button for idx, el in state.dom_state.selector_map.items(): text = el.get_all_children_text(max_depth=1).lower() if "next" in text or "continue" in text: await click(index=idx) await wait(2) break EOF ``` ## Tips - Code is piped via stdin using heredoc (`-c - <<'EOF'`), so all Python syntax works without shell escaping issues. - Always discover fields with `browser.get_browser_state_summary()` before typing -- do not guess element indices. - For sensitive data (passwords, tokens), confirm with the user before entering values. - Use `evaluate()` to bypass custom components that do not respond to standard click/type. - Variables persist between `-c` calls while the daemon is running, so you can store field indices in one call and use them in the next. - Check for CAPTCHA or bot detection; notify the user if manual intervention is needed. ## Cleanup This step is **mandatory**. Run it after the form submission finishes, whether the submit succeeded or the form rejected the input. Without it, the daemon keeps Chrome running until its 10-minute idle timeout, leaving a stale browser process, a locked profile, and (on macOS/Linux desktop) a visible window with the form still on screen. Stop the daemon, then verify it is gone: ```bash openbrowser-ai daemon stop openbrowser-ai daemon status ``` `daemon stop` closes every tab, exits Chrome, flushes saved cookies/login state to the profile (so the next run reuses the login), and shuts down the daemon process. `daemon status` should report the daemon is not running. If it still reports running, the daemon is wedged, force-kill it: ```bash pkill -f 'openbrowser.*daemon' || true ``` Form runs can fail mid-workflow (validation error, CAPTCHA, network drop). Guarantee cleanup with a shell trap so a half-filled form never leaks a browser: ```bash trap 'openbrowser-ai daemon stop >/dev/null 2>&1 || true' EXIT # ... openbrowser-ai -c calls here ... ``` Do not rely on the idle timeout. Do not call `done()` as a substitute, `done()` only marks the task complete inside the agent loop, it does not close the browser.
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