Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add billy-enrizky/openbrowser-ai --skill form-fillinggit clone --depth 1 https://github.com/billy-enrizky/openbrowser-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/billy-enrizky/openbrowser-ai/form-filling)<a href="https://agentmods.dev/skills/billy-enrizky/openbrowser-ai/form-filling"><img src="https://agentmods.dev/badge/skills/billy-enrizky/openbrowser-ai/form-filling/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/billy-enrizky/openbrowser-ai/form-filling"><img src="https://agentmods.dev/badge/skills/billy-enrizky/openbrowser-ai/form-filling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.01632 |
| Opus 5 | $0.00030 | $0.00816 |
| Sonnet 5 | $0.00012 | $0.00326 |
| Haiku 4.5 | $0.00006 | $0.00163 |
Grade C, and why
form-filling scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Bash(openbrowser-ai:*) Bash(curl:*) Bash(uv:*) Bash(irm:*) Read Write How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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="[email protected]")
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
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 228 lines · 60 tokens per session scan C 691613387d0e
form-filling is a skill published in the GitHub repository billy-enrizky/openbrowser-ai (242 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 1,632 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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