hyperexecute-skill
Helps your agent run cloud tests. It analyzes projects, creates configurations, and debugs failures to ensure everything works.
What it does
This tool helps run software tests in the cloud using HyperExecute. It analyzes your project, creates a configuration file, checks if everything is correct, and runs the tests, assisting in finding and fixing errors.
When to use it
- ✓When you need to run tests in the cloud.
- ✓To set up automated test execution in continuous integration (CI) systems.
- ✓When your tests fail and you need help figuring out why.
Example of what to ask your AI
“Set up and run my cloud tests using HyperExecute.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool first analyzes your project to understand what needs to be tested. Then, it creates a configuration file (YAML) and performs local checks before running the tests in the cloud. If something goes wrong, it helps analyze logs to fix the issue.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill hyperexecute-skillOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/hyperexecute-skill/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Bundled upstream support
Supporting files are included at skill-relative paths. See UPSTREAM-NOTICE.md for their pinned sources, licenses, hashes, and import changes.
Restored helper safety
scripts/doctor.js --validate-cli passes LT_USERNAME and LT_ACCESS_KEY to the HyperExecute CLI as process arguments, where local process-inspection tools may expose them. Run only on a trusted host and authorized account, and avoid concurrent untrusted users. Treat it as a remote account operation; verify the current CLI's validation behavior and any project data it submits before invoking it.
HyperExecute Operator
When to Use
Use this skill when you need operates HyperExecute end-to-end for TestMu AI/LambdaTest cloud test execution: analyze projects, create YAML, validate locally, run CLI jobs, debug failures, and wire CI. Use when the user mentions HyperExecute, hyperexecute.yaml, HyperExecute CLI, autosplit, matrix execution,...
Quick Start
- Locate the HyperExecute CLI. If missing, ask before downloading it unless the user explicitly approved an autonomous HyperExecute session.
- Run
hyperexecute analyzewhen the CLI is available; use local inspection only as fallback. - Create or repair
hyperexecute.yamlfrom the analyze output, project test commands, and templates inreference/. - Run
node scripts/doctor.js --config hyperexecute.yamlandnode 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_USERNAMEandLT_ACCESS_KEYfrom local environment variables or CI secrets; never hardcode credentials in YAML or docs. - Use
--job-secret-fileonly 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
--verbosewhen useful, download logs/artifacts/reports, fix one cause at a time. - CI: use CI secrets, add a validation stage before execution, set
CI=truefor 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.
Helper Scripts
scripts/doctor.js: checks CLI readiness, credentials, config presence, and optional official validation.scripts/validate-config.js: lightweight config linting for common mistakes before official CLI validation.scripts/build-command.js: prints safe validate/run/debug/download commands using environment variable references.scripts/summarize-artifacts.js: summarizes downloaded logs, reports, and artifacts for triage.
References
- CLI usage and flags: reference/cli.md
- YAML patterns: reference/yaml-patterns.md
- Framework recipes: reference/frameworks.md
- CI/CD integration: reference/ci-cd.md
- Security rules: reference/security.md
…
FAQ
What is HyperExecute?
It is a platform for running software tests quickly and efficiently in the cloud.
What is a YAML file?
It's a text file used to configure how tests should be run, such as which tests to run and where.
What does 'wire CI' mean?
It means setting up the tool to automatically run tests whenever you update your code, helping to catch errors earlier.
Details
Original description by the author
Operates HyperExecute end-to-end for TestMu AI/LambdaTest cloud test execution: analyze projects, create YAML, validate locally, run CLI jobs, debug failures, and wire CI.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3301
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
benchmark-optimization-loop
Has your agent improve something's speed in a measured way. It tests multiple versions and chooses the fastest one that still works correctly.
affaan-m/ECC
change-impact
Helps your agent analyze the impact of code changes before making them. It compares the planned vs. actual results afterward, covering paths, data, tests, and documentation. Useful for risky or system-wide changes.
affaan-m/ECC
click-path-audit
Lets your agent trace all user buttons and interactions to find bugs. It finds issues where functions seem to work alone but fail together. Useful when bugs persist even after debugging.
affaan-m/ECC