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-lensgit 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-lens)<a href="https://agentmods.dev/skills/software-mansion/argent/argent-lens"><img src="https://agentmods.dev/badge/skills/software-mansion/argent/argent-lens/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-lens"><img src="https://agentmods.dev/badge/skills/software-mansion/argent/argent-lens.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 | $0.00067 | $0.02412 |
| Opus 5 | $0.00034 | $0.01206 |
| Sonnet 5 | $0.00013 | $0.00482 |
| Haiku 4.5 | $0.00007 | $0.00241 |
Grade A, and why
argent-lens 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 9d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prerequisite — feature flag. This workflow is gated behind the
argent-lensflag (off by default). Runargent enable argent-lensonce before using it. Ifpropose_variant/await_user_selectioncome back not-found, the flag is off — enable it and retry.
1. Overview
You implement several candidate designs, capture each one running on the device, and stage them with propose_variant. Each proposed element shows up as a floating card next to the live simulator stream in the Argent Lens window (a native window that opens automatically), connected by a thin line to the real element. The human picks per element, optionally pins free-form comments to elements, and presses Complete selection. await_user_selection is the single blocking call that returns their decision.
The golden rule: one variant = one real, distinct screenshot. A proposal is only useful if its previewImage shows the variant actually rendered on the device, captured AFTER that specific variant was applied. Never propose a variant you have not built and seen on screen, and never point two variants at the same file path — if two captures end up byte-identical you have not actually changed anything and the Argent Lens degenerates to identical thumbnails. Plan → build → navigate → screenshot → propose, repeated for every variant of every element, then await once.
2. Tools
| Tool | Blocking? | Purpose |
|---|---|---|
propose_variant |
No | Stage ONE variant for ONE element. Call once per variant. Keep working. |
await_user_selection |
Yes | Call ONCE after every variant is staged. Parks until the human is done. |
propose_variant params: element (human name), optional match ({ by: "text"|"label"|"identifier"|"role", value }), optional udid (the device id you captured the variants on), and variant ({ name, summary, code?, filePath?, previewImage?, frame? }). Repeated calls with the same element accumulate variants on that element; different element values create separate cards.
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.
- 9d ago First seen · 102 lines · 67 tokens per session scan A 4a2ebdaa9604
argent-lens is a skill published in the GitHub repository software-mansion/argent (2,552 stars, last pushed today), licensed Apache-2.0. It adds 67 tokens to every session and 2,412 once invoked, about $0.0003 per session on Opus 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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