feat(skills): rename "agent-browser" skill to "core"; make CLI-served main skill actually useful (#1253)
Before this change, the main skill served by the CLI (`agent-browser
skills get agent-browser`) was a ~40-line discovery stub whose content
was essentially "run `agent-browser skills get <name>` before doing
anything." Agents already inside the CLI got no signal from it — the
content they needed to actually use the tool lived only in the `--full`
references.
Split the two jobs apart:
- **`skill-data/core/`** (new) — the runtime usage guide. 420-line
`SKILL.md` covering the snapshot-and-ref loop, common workflows
(login, extract, screenshot, multi-tab, sessions, iframes, dialogs),
waiting strategies, element selection strategies, troubleshooting,
and when to load a specialized skill. Supplementary `references/` and
`templates/` (moved from `skills/agent-browser/`) provide the full
command reference under `--full`.
- **`skills/agent-browser/SKILL.md`** — still the discovery stub that
`npx skills add` installs, now marked `hidden: true` so it stays out
of `skills list` inside the CLI. Body is a clean pointer to
`agent-browser skills get core` and the specialized skills.
The `hidden: true` frontmatter flag is a new, general mechanism: skills
marked hidden are omitted from `skills list` and `skills get --all` but
can still be fetched by explicit name. This keeps the stub reachable
for anyone who installed via `npx skills add` without polluting the
CLI-side skill listing.
## Behavior
```
$ agent-browser skills list
agentcore Run agent-browser on AWS Bedrock AgentCore cloud browsers...
core Core agent-browser usage guide. Read this before running...
dogfood Systematically explore and test a web application...
electron Automate Electron desktop apps (VS Code, Slack, Discord...)
slack Interact with Slack workspaces using browser automation...
vercel-sandbox Run agent-browser + Chrome inside Vercel Sandbox microVMs...
$ agent-browser skills get core # the actual usage guide
# ~420 lines of workflows, patterns, troubleshooting
$ agent-browser skills get agent-browser # still works if called explicitly
# the thin stub, now pointing at `core`
```
External `npx skills add vercel-labs/agent-browser` behavior is
unchanged: it finds and installs the thin `agent-browser` stub, which
tells the agent to run `agent-browser skills get core` for real
content. Version drift protection is preserved — the stub is the only
thing that gets copied; the real content is always runtime-fetched.
## Updated
- `cli/src/skills.rs` — `SkillInfo.hidden: bool`, parsed from
frontmatter; `run_list` and `run_get --all` filter it. 3 new unit
tests for the frontmatter parser.
- `cli/src/output.rs` — top-level `--help` and `skills` subcommand help
reference `skills get core` / `skills get core --full`.
- `AGENTS.md` — "update these files for user-facing features" now
points at `skill-data/core/` instead of the stub, with a note that
the stub is not the right place for feature content.
- `README.md`, `docs/src/app/skills/page.mdx` — describe the new
split and `skills get core --full` as the recommended entry point.
- `evals/cases/{command-usage,skill-selection}.ts` — expect
`skills get core` in agent output instead of `skills get
agent-browser`. Eval lib still reads `skills/agent-browser/SKILL.md`
(simulating what an agent sees after `npx skills add`).
All 11 skills unit tests pass. `cargo clippy -- -D warnings` and
`cargo fmt --check` clean. Verified end-to-end: `skills list` shows
`core` + specialized (no stub), `skills get core` returns the new
content, `skills get agent-browser` still returns the stub on explicit
request.
This commit is contained in:
+105
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#!/bin/bash
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# Template: Authenticated Session Workflow
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# Purpose: Login once, save state, reuse for subsequent runs
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# Usage: ./authenticated-session.sh <login-url> [state-file]
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#
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# RECOMMENDED: Use the auth vault instead of this template:
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# echo "<pass>" | agent-browser auth save myapp --url <login-url> --username <user> --password-stdin
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# agent-browser auth login myapp
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# The auth vault stores credentials securely and the LLM never sees passwords.
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#
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# Environment variables:
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# APP_USERNAME - Login username/email
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# APP_PASSWORD - Login password
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#
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# Two modes:
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# 1. Discovery mode (default): Shows form structure so you can identify refs
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# 2. Login mode: Performs actual login after you update the refs
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#
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# Setup steps:
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# 1. Run once to see form structure (discovery mode)
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# 2. Update refs in LOGIN FLOW section below
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# 3. Set APP_USERNAME and APP_PASSWORD
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# 4. Delete the DISCOVERY section
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set -euo pipefail
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LOGIN_URL="${1:?Usage: $0 <login-url> [state-file]}"
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STATE_FILE="${2:-./auth-state.json}"
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echo "Authentication workflow: $LOGIN_URL"
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# ================================================================
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# SAVED STATE: Skip login if valid saved state exists
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# ================================================================
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if [[ -f "$STATE_FILE" ]]; then
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echo "Loading saved state from $STATE_FILE..."
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if agent-browser --state "$STATE_FILE" open "$LOGIN_URL" 2>/dev/null; then
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agent-browser wait --load networkidle
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CURRENT_URL=$(agent-browser get url)
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if [[ "$CURRENT_URL" != *"login"* ]] && [[ "$CURRENT_URL" != *"signin"* ]]; then
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echo "Session restored successfully"
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agent-browser snapshot -i
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exit 0
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fi
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echo "Session expired, performing fresh login..."
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agent-browser close 2>/dev/null || true
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else
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echo "Failed to load state, re-authenticating..."
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fi
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rm -f "$STATE_FILE"
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fi
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# ================================================================
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# DISCOVERY MODE: Shows form structure (delete after setup)
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# ================================================================
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echo "Opening login page..."
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agent-browser open "$LOGIN_URL"
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agent-browser wait --load networkidle
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echo ""
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echo "Login form structure:"
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echo "---"
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agent-browser snapshot -i
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echo "---"
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echo ""
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echo "Next steps:"
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echo " 1. Note the refs: username=@e?, password=@e?, submit=@e?"
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echo " 2. Update the LOGIN FLOW section below with your refs"
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echo " 3. Set: export APP_USERNAME='...' APP_PASSWORD='...'"
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echo " 4. Delete this DISCOVERY MODE section"
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echo ""
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agent-browser close
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exit 0
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# ================================================================
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# LOGIN FLOW: Uncomment and customize after discovery
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# ================================================================
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# : "${APP_USERNAME:?Set APP_USERNAME environment variable}"
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# : "${APP_PASSWORD:?Set APP_PASSWORD environment variable}"
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#
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# agent-browser open "$LOGIN_URL"
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# agent-browser wait --load networkidle
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# agent-browser snapshot -i
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#
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# # Fill credentials (update refs to match your form)
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# agent-browser fill @e1 "$APP_USERNAME"
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# agent-browser fill @e2 "$APP_PASSWORD"
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# agent-browser click @e3
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# agent-browser wait --load networkidle
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#
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# # Verify login succeeded
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# FINAL_URL=$(agent-browser get url)
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# if [[ "$FINAL_URL" == *"login"* ]] || [[ "$FINAL_URL" == *"signin"* ]]; then
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# echo "Login failed - still on login page"
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# agent-browser screenshot /tmp/login-failed.png
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# agent-browser close
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# exit 1
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# fi
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#
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# # Save state for future runs
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# echo "Saving state to $STATE_FILE"
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# agent-browser state save "$STATE_FILE"
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# echo "Login successful"
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# agent-browser snapshot -i
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+69
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#!/bin/bash
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# Template: Content Capture Workflow
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# Purpose: Extract content from web pages (text, screenshots, PDF)
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# Usage: ./capture-workflow.sh <url> [output-dir]
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#
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# Outputs:
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# - page-full.png: Full page screenshot
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# - page-structure.txt: Page element structure with refs
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# - page-text.txt: All text content
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# - page.pdf: PDF version
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#
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# Optional: Load auth state for protected pages
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set -euo pipefail
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TARGET_URL="${1:?Usage: $0 <url> [output-dir]}"
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OUTPUT_DIR="${2:-.}"
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echo "Capturing: $TARGET_URL"
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mkdir -p "$OUTPUT_DIR"
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# Optional: Load authentication state
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# if [[ -f "./auth-state.json" ]]; then
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# echo "Loading authentication state..."
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# agent-browser state load "./auth-state.json"
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# fi
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# Navigate to target
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agent-browser open "$TARGET_URL"
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agent-browser wait --load networkidle
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# Get metadata
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TITLE=$(agent-browser get title)
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URL=$(agent-browser get url)
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echo "Title: $TITLE"
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echo "URL: $URL"
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# Capture full page screenshot
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agent-browser screenshot --full "$OUTPUT_DIR/page-full.png"
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echo "Saved: $OUTPUT_DIR/page-full.png"
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# Get page structure with refs
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agent-browser snapshot -i > "$OUTPUT_DIR/page-structure.txt"
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echo "Saved: $OUTPUT_DIR/page-structure.txt"
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# Extract all text content
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agent-browser get text body > "$OUTPUT_DIR/page-text.txt"
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echo "Saved: $OUTPUT_DIR/page-text.txt"
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# Save as PDF
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agent-browser pdf "$OUTPUT_DIR/page.pdf"
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echo "Saved: $OUTPUT_DIR/page.pdf"
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# Optional: Extract specific elements using refs from structure
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# agent-browser get text @e5 > "$OUTPUT_DIR/main-content.txt"
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# Optional: Handle infinite scroll pages
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# for i in {1..5}; do
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# agent-browser scroll down 1000
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# agent-browser wait 1000
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# done
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# agent-browser screenshot --full "$OUTPUT_DIR/page-scrolled.png"
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# Cleanup
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agent-browser close
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echo ""
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echo "Capture complete:"
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ls -la "$OUTPUT_DIR"
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Executable
+62
@@ -0,0 +1,62 @@
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#!/bin/bash
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# Template: Form Automation Workflow
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# Purpose: Fill and submit web forms with validation
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# Usage: ./form-automation.sh <form-url>
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#
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# This template demonstrates the snapshot-interact-verify pattern:
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# 1. Navigate to form
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# 2. Snapshot to get element refs
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# 3. Fill fields using refs
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# 4. Submit and verify result
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#
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# Customize: Update the refs (@e1, @e2, etc.) based on your form's snapshot output
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set -euo pipefail
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FORM_URL="${1:?Usage: $0 <form-url>}"
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echo "Form automation: $FORM_URL"
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# Step 1: Navigate to form
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agent-browser open "$FORM_URL"
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agent-browser wait --load networkidle
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# Step 2: Snapshot to discover form elements
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echo ""
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echo "Form structure:"
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agent-browser snapshot -i
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# Step 3: Fill form fields (customize these refs based on snapshot output)
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#
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# Common field types:
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# agent-browser fill @e1 "John Doe" # Text input
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# agent-browser fill @e2 "user@example.com" # Email input
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# agent-browser fill @e3 "SecureP@ss123" # Password input
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# agent-browser select @e4 "Option Value" # Dropdown
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# agent-browser check @e5 # Checkbox
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# agent-browser click @e6 # Radio button
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# agent-browser fill @e7 "Multi-line text" # Textarea
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# agent-browser upload @e8 /path/to/file.pdf # File upload
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#
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# Uncomment and modify:
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# agent-browser fill @e1 "Test User"
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# agent-browser fill @e2 "test@example.com"
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# agent-browser click @e3 # Submit button
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# Step 4: Wait for submission
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# agent-browser wait --load networkidle
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# agent-browser wait --url "**/success" # Or wait for redirect
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# Step 5: Verify result
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echo ""
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echo "Result:"
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agent-browser get url
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agent-browser snapshot -i
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# Optional: Capture evidence
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agent-browser screenshot /tmp/form-result.png
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echo "Screenshot saved: /tmp/form-result.png"
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# Cleanup
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agent-browser close
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echo "Done"
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