Argent is a toolkit that lets an AI assistant control and inspect iOS, Android, TV, Electron, and Chromium applications through simulators, emulators, physical devices, or desktop connections. It is for developers who want an agent to interact with interfaces, reproduce issues, test features, debug applications, or run profiling tasks. The catalogue add-ons expose Argent's device-control and development workflows to coding agents.
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 software-mansion/argent --skill argent-screenshot-diffgit clone --depth 1 https://github.com/software-mansion/argentWrote 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/software-mansion/argent/argent-screenshot-diff)<a href="https://agentmods.dev/skills/software-mansion/argent/argent-screenshot-diff"><img src="https://agentmods.dev/badge/skills/software-mansion/argent/argent-screenshot-diff/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/software-mansion/argent/argent-screenshot-diff"><img src="https://agentmods.dev/badge/skills/software-mansion/argent/argent-screenshot-diff.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00059 | $0.00932 |
| Opus 5.5 | $0.00024 | $0.00373 |
| Sonnet 5.5 | $0.00012 | $0.00186 |
| Haiku 4.5 | $0.00006 | $0.00093 |
Grade A, and why
argent-screenshot-diff 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
1. Role
Use screenshot-diff as supporting visual evidence for UI QA and visual regression checks. It highlights pixel-visible change or stability; it does not replace visual inspection, accessibility/component-tree state, frame/attribute checks, logs, network evidence, or app behavior.
Do not use screenshot diffing for tap-coordinate discovery. Use describe, debugger-component-tree, or native-describe-screen to find targets first.
screenshot-diff supports physical iPhones (kind "device") for both saved-file diffs and live captures. A live capture on hardware goes through the on-device runner at full resolution, is device-wide, and needs no registered app. Keep baselines per device model and resolution, and note that the rotation parameter is ignored on hardware: the capture follows the device's real orientation.
2. When To Use
Use screenshot-diff when pixel comparison can answer the verification question:
- Required for explicit "UI regression test", "visual regression test", "screenshot diff", "compare screenshots", or "before/after visual comparison" requests, unless stable comparable screenshots cannot be produced.
- Good fit when the affected screen has stable before/after states and the expected result is pixel-visible: layout, position, size, spacing, color, typography, image/icon rendering, clipping, overflow, or text rendering.
- Good fit when the risk is unintended visual regression outside the exact element changed.
- Poor fit when the result is better verified structurally: state changes, navigation existence, accessibility tree contents, console/network behavior, or unit tests.
- Poor fit when dynamic content, unpausable animation, timestamps, ads, random data, or missing baseline/current screenshots would make the comparison noisy or meaningless.
3. Capture Rules
Use normal downscaled screenshot calls for UI context and state checks. Use full-resolution screenshots only when saving baseline/current PNG files for visual regression comparison. Suppress the image block so the full-size PNG is not loaded into context:
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.
- 1mo ago Changed · +2 lines 121eddcf8aca
- 1mo ago First seen · 68 lines · 59 tokens per session scan A 86a7af274c90
argent-screenshot-diff is a skill published in the GitHub repository software-mansion/argent (3,059 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 932 once invoked, about $0.0002 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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