computer-use-forms

computer-use-forms is a skill for Claude Code, Codex from zavora-ai/computer-use-mcp. It costs 34 tokens per session (850 once invoked), scanned A, original, MIT.

A method for filling desktop application forms through accessibility information instead of repeated mouse clicks and typing.

In plain words
What is it for?
It helps find form fields by their labels, fill several fields in one operation, set individual values, and verify the entered data.
Why use it?
It reduces errors caused by coordinates, focus changes, or typing into the wrong field.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps find form fields by their labels, fill several fields in one operation, set individual values, and verify the entered data.

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Install with agentmods
npx agentmods add skills/zavora-ai/computer-use-mcp/computer-use-forms
Install

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.

Any agent
npx skills add zavora-ai/computer-use-mcp --skill computer-use-forms
Clone the repo
git clone --depth 1 https://github.com/zavora-ai/computer-use-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for computer-use-forms

README.md
[![agentmods](https://agentmods.dev/badge/skills/zavora-ai/computer-use-mcp/computer-use-forms/github.svg)](https://agentmods.dev/skills/zavora-ai/computer-use-mcp/computer-use-forms)
Your own site
<a href="https://agentmods.dev/skills/zavora-ai/computer-use-mcp/computer-use-forms"><img src="https://agentmods.dev/badge/skills/zavora-ai/computer-use-mcp/computer-use-forms/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.

agentmods 80×15 button for computer-use-forms

Your own site · 80×15
<a href="https://agentmods.dev/skills/zavora-ai/computer-use-mcp/computer-use-forms"><img src="https://agentmods.dev/badge/skills/zavora-ai/computer-use-mcp/computer-use-forms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 850 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.00850
Opus 5.5 $0.00014 $0.00340
Sonnet 5.5 $0.00007 $0.00170
Haiku 4.5 $0.00003 $0.00085

Measured 16d ago against content hash d96342381bac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

computer-use-forms scanned grade A with 0 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 16d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/computer-use-forms/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Operating controls

Goal: put a value in the right field, and know that it landed.

Order of preference. Each step down is slower and less certain, so only take it when the one above cannot do the job:

  1. Accessibility — fill_form, set_value, click_element. Native apps, and a browser's own chrome including its dialogs.
  2. The page — a browser-automation server acting by selector, or browser_find for an element's exact screen coordinates. Anything inside a web page.
  3. OCR (macOS) — read_window_text with a region, then click_text on a label. Apps that draw their own UI have an empty accessibility tree; OCR needs no coordinates and works on a covered window. wait_for_text confirms a value or a message appeared.
  4. Pixels — screenshot, then click and type. A canvas, a custom-drawn control, an app that exposes nothing, text OCR cannot read.

Facts you cannot infer, each measured

A browser exposes its own controls, never its pages. Measured on Chrome showing a web app: 37 accessible nodes, one text field — the address bar. A page input returns [] rather than an error, so two empty searches means stop searching, not search harder. Toolbar buttons and dialogs like "Save password?" are accessible.

A capture is smaller than the screen. 2560 wide arrives 1024 wide, so one image pixel is 2.5 real ones, against a field about 35 pixels tall. Every screenshot reply states its own mapping — read it rather than deriving one. On macOS 14+ a window capture is the window alone, without its shadow, so the mapping is exact; on older systems and other platforms a window capture can include a shadow and its scale is approximate. A window that could not be captured silently becomes a screen capture, and the reply says so. With a session target set, screenshot captures that window; full_screen: true captures the screen.

zoom returns 1:1. Without a target it takes desktop coordinates, so raise the window first or you will capture whatever else is at those coordinates. With target_app or target_window_id (since 7.5) the region is in that window's points, from its top-left.

Read the full file on GitHub · 67 lines

Changes

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.

  1. 16d ago Changed · +8 lines d96342381bac
  2. 1mo ago Changed · +44 lines · +8 tokens per session 4800e69c4c72
  3. 1mo ago First seen · 15 lines · 26 tokens per session scan A f72ecd171f79

Subscribe to this mod's changes

computer-use-forms is a skill published in the GitHub repository zavora-ai/computer-use-mcp (86 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 850 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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