Run visible skilld-maintained Skills through an AI SDK Harness.

The package checks output limits, paths, file types, and Skill frontmatter. It then promotes generated Skills with an atomic directory rename.

pnpm add skilld-harness @ai-sdk/harness ws zod

Use Node 22 or newer. The sandbox must provide POSIX sh, rm, mkdir, and GNU find.

import { createSkillHarness } from 'skilld-harness'

const skillHarness = createSkillHarness({
  harness,
  sandbox,
})

const result = await skillHarness.run({
  _tag: 'ProjectSkill',
  projectDir: process.cwd(),
  destination: {
    rootDir: '.skills',
    name: 'my-project',
  },
})

Every run returns a tagged Ok or Err value. An installed Skill can include cleanup warnings after promotion.

Pass fetch to createSkillHarness when the host owns HTTP access. The default adapter uses the Node global fetch implementation.

Import skilld-harness/skills to load the published Skill instructions.

import {
  loadSkilldMaintainedSkill,
  skilldMaintainedSkillNames,
} from 'skilld-harness/skills'

const names = await skilldMaintainedSkillNames()
const skill = await loadSkilldMaintainedSkill('generate-project-skill')

The same Skill files remain usable directly through an Agent. Direct runs remain user reviewed.