skill pack QA

Skill Pack QA Before Marketplace Release

Skill pack QA checks whether a group of agent skills is ready to publish or sell. The review should cover permissions, credential handling, implicit network calls, test coverage, runtime cost, owner metadata, versioning, and buyer-facing pricing.

Open the forecaster

When this matters

  • A team is packaging skills for internal reuse and needs a release gate.
  • A marketplace contributor submits a skill pack with unclear tool permissions.
  • A buyer wants proof that the pack was tested beyond a happy-path demo.

How to run the workflow

  1. Inventory every skill, owner, version, runtime, and intended use case.
  2. Scan SKILL.md files for broad permissions, credentials, network calls, and missing acceptance tests.
  3. Run simulations for each high-value or high-risk skill.
  4. Rank blockers by security, cost, reliability, and buyer trust impact.
  5. Ship the pack with clear plan limits, pricing, and support boundaries.

Common risks

  • A single broad-permission skill can make the whole pack hard to approve.
  • Missing tests create support burden after buyers start using the pack.
  • Unclear pricing makes a useful skill pack look risky or unfinished.

Where SkillCost Meter fits

SkillCost Meter gives skill pack owners a pre-release red-line checklist, runtime forecast, ROI rank, and three-tier pricing brief.