Repository

boringcomputers/nehemiah agent skills

Every skill in the boringcomputers/nehemiah repository on GitHub, ranked by score, with the commands to install them.
skill
1
GitHub stars
339

GitHub description: “On-demand Linux computers you can hand to an AI — real Firecracker microVMs with a browser, terminal, coding agents, and an AI that drives them.”

Stars
339 (45 forks)
Licence
Apache-2.0
Last push
Sep 2026
Created
Jun 2026
  • ai-agents
  • computer-use
  • firecracker
  • golang
  • mcp
  • microvm
  • sandbox
  • svelte

Install all skills

skills CLI (any agent)
npx skills add boringcomputers/nehemiah

Add --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).

Skills in boringcomputers/nehemiah, ranked

Skills in boringcomputers/nehemiah, ranked
#SkillRepositoryStarsUsed inTokensAuto-checkLicenceUpdated
1

Test the preview proxy feature end-to-end. An agent skill from boringcomputers/nehemiah.

boringcomputers/nehemiah339—~822Automated safety check: NotesApache-2.018 days ago

Questions, answered from the data.

What is the best skill in boringcomputers/nehemiah?

Testing Preview from boringcomputers/nehemiah ranks first of the 1 skills in boringcomputers/nehemiah listed here, with the highest score: its repository has 339 GitHub stars, its SKILL.md loads about 822 tokens and it has informational notes only in the automated safety check.

Are the skills in boringcomputers/nehemiah official?

None yet. All 1 skills in boringcomputers/nehemiah listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.

How do I install all skills from boringcomputers/nehemiah?

Run npx skills add boringcomputers/nehemiah in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.

How are these skills ranked?

By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.