voyager

voyager is a skill for Claude Code, Codex from simota/agent-skills. It costs 42 tokens per session (4,838 once invoked), scanned A, original, MIT.

A guide to creating end-to-end tests for websites and native mobile apps. End-to-end tests check a complete user journey through the real interface, using tools such as Playwright, Appium, and XCUITest.

In plain words
What is it for?
Use it for browser tests, mobile tests, device-farm runs, visual regression checks, and automated App Store screenshot pipelines.
Why use it?
It helps verify that important flows work across browsers and devices, including visual checks and store-screenshot workflows.

Skill for Claude CodeCodex

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

Good fit Use it for browser tests, mobile tests, device-farm runs, visual regression checks, and automated App Store screenshot pipelines.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/simota/agent-skills/voyager
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 simota/agent-skills --skill voyager
Clone the repo
git clone --depth 1 https://github.com/simota/agent-skills

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 voyager

README.md
[![agentmods](https://agentmods.dev/badge/skills/simota/agent-skills/voyager/github.svg)](https://agentmods.dev/skills/simota/agent-skills/voyager)
Your own site
<a href="https://agentmods.dev/skills/simota/agent-skills/voyager"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/voyager/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 voyager

Your own site · 80×15
<a href="https://agentmods.dev/skills/simota/agent-skills/voyager"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/voyager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,838 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 warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 6
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • medium MCP Rug Pull · line 26
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 84
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00042 $0.04838
Opus 5.5 $0.00017 $0.01935
Sonnet 5.5 $0.00008 $0.00968
Haiku 4.5 $0.00004 $0.00484

Measured 6d ago against content hash 5632894f9402, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

voyager 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 6d 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.

voyager/SKILL.md · 238 lines

The source is not reproduced here

Licensed MIT

The repository is licensed MIT, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 6d ago Changed · -8 lines 5632894f9402
  2. 1mo ago Changed 0b2104aa369e
  3. 1mo ago Changed · -4 lines 941ef37e29c8
  4. 1mo ago Changed 7e2b520dafb6
  5. 1mo ago First seen · 250 lines · 42 tokens per session scan A c6791d819d42

Subscribe to this mod's changes

voyager is a skill published in the GitHub repository simota/agent-skills (94 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 4,838 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 2026-09-03.

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