What is hyperexecute-skill?

Operating instructions for HyperExecute, a cloud service that runs automated tests on LambdaTest’s testing infrastructure. They cover analysing projects, creating and checking configuration, running jobs, and investigating results.

Use them to create or repair hyperexecute.yaml, validate settings locally or with the official CLI, connect test commands to CI, and retrieve logs and reports.

They provide a repeatable way to prepare test runs and diagnose failures without putting credentials in configuration files or starting an unapproved cloud job.

hyperexecute-skill — Skill for Claude Code and Codex by LambdaTest

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 LambdaTest/agent-skills --skill hyperexecute-skill

Clone the repo

git clone --depth 1 https://github.com/LambdaTest/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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/lambdatest/agent-skills/hyperexecute-skill/github.svg)](https://agentmods.dev/skills/lambdatest/agent-skills/hyperexecute-skill)

Your own site

<a href="https://agentmods.dev/skills/lambdatest/agent-skills/hyperexecute-skill"><img src="https://agentmods.dev/badge/skills/lambdatest/agent-skills/hyperexecute-skill/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/lambdatest/agent-skills/hyperexecute-skill"><img src="https://agentmods.dev/badge/skills/lambdatest/agent-skills/hyperexecute-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 810 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.

Model	Per session	Once invoked
Fable 5.1	$0.00097	$0.00810
Opus 5	$0.00048	$0.00405
Sonnet 5	$0.00019	$0.00162
Haiku 4.5	$0.00010	$0.00081

Measured 10d ago against content hash a5b1c3b82ec1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

hyperexecute-skill 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 10d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/build-command.js, scripts/doctor.js, scripts/summarize-artifacts.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

hyperexecute-skill/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HyperExecute Operator

Quick Start

Locate the HyperExecute CLI. If missing, ask before downloading it unless the user explicitly approved an autonomous HyperExecute session.
Run hyperexecute analyze when the CLI is available; use local inspection only as fallback.
Create or repair hyperexecute.yaml from the analyze output, project test commands, and templates in reference/.
Run node scripts/doctor.js --config hyperexecute.yaml and node scripts/validate-config.js hyperexecute.yaml.
Validate with the official CLI: ./hyperexecute --user "$LT_USERNAME" --key "$LT_ACCESS_KEY" --config hyperexecute.yaml --validate.
Ask before a real cloud job unless the user has explicitly opted into an autonomous HyperExecute session.
For failures, download logs/artifacts/reports and use reference/troubleshooting.md.

Operating Rules

Treat the official HyperExecute CLI as the source of truth for analyze, validation, execution, logs, reports, and artifacts.
Use LT_USERNAME and LT_ACCESS_KEY from local environment variables or CI secrets; never hardcode credentials in YAML or docs.
Use --job-secret-file only for extra job-scoped secrets, preferably outside the repo or ignored by .gitignore/.hyperexecuteignore.
Prefer template-driven YAML over generator scripts because test commands, paths, and payload boundaries are project-specific.
Run safe local checks automatically; run real HyperExecute cloud jobs only after confirmation unless the user opted into autonomous mode.
In autonomous mode, validate first, run, inspect output, download logs/artifacts when useful, and retry only for actionable config/environment fixes.

Workflow

First run: analyze project, author YAML, run helper checks, run CLI validate, then request confirmation for the cloud job.
Debug: reproduce the failing CLI command, add --verbose when useful, download logs/artifacts/reports, fix one cause at a time.
CI: use CI secrets, add a validation stage before execution, set CI=true for quieter logs, and keep downloaded artifacts available for failed jobs.
Performance: tune autosplit, concurrency, cache keys, retries, smart ordering, and matrix/hybrid scope after one successful run.

Read the full file on GitHub · 63 lines

Files

What ships with it

10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

10d ago First seen · 63 lines · 97 tokens per session scan A a5b1c3b82ec1

Subscribe to this mod's changes

hyperexecute-skill is a skill published in the GitHub repository LambdaTest/agent-skills (366 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 810 once invoked, about $0.0005 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.

E2E testing Testing cloud-testing

BrowserStack Cloud Testing

Cloud-based cross-browser and cross-device testing with BrowserStack including Automate, App Automate, Percy visual testing, Observability, and integration with Playwright, Selenium, and CI/CD pipelines.

PramodDutta/qaskills · 44 tokens

dogfood

Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.

callstack/agent-device · 55 tokens

test-warp-ui

Guides testing Warp UI features and changes using the computer use tool. Use this skill only when computer-use testing was requested (explicit request or accepted offer) and the computeruse tool is available to the agent. Covers launching Warp and verifying UI behavior.

warpdotdev/warp · 55 tokens

test-electron-app

Drive the real running PostHog Electron app (live tRPC, workspace-server, real data) over CDP with agent-browser. Connect to the running app on port 9222, test desktop changes against a local Django stack, snapshot the accessibility tree, inspect network requests, and screenshot only when explicitly asked. Use when…

PostHog/posthog-foss · 112 tokens

pyats-dynamic-test

Generate and execute deterministic pyATS aetest validation scripts - interface state, OSPF neighbors, BGP paths, ping matrices, and custom compliance tests. Use when writing a network test, validating post-change state, running pass/fail checks, or building automated regression tests.

automateyournetwork/netclaw · 61 tokens

test-loop

Plan, generate, and heal an executable E2E test suite from approved acceptance criteria (web and mobile).

HoangNguyen0403/agent-skills-standard · 25 tokens