gongshichen/luminacode/api-consumption-contract

Claude Code and agent skill by gongshichen/luminacode

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Verify and document how the user-facing surface consumes the agreed backend/API contract.

Install

npx vskill@latest install gongshichen/luminacode/api-consumption-contract

SKILL.md

Use this skill to keep frontend work from drifting into direct-file, mock-only, or independent behavior.

Required contract artifacts:

  • Read INTERFACE_CONTRACT.md before implementation when it exists.
  • If the contract was only sent through A2A, collaborate with Backend to write <project_root>/INTERFACE_CONTRACT.md.
  • Keep frontend assumptions in FRONTEND_PLAN.md aligned with the contract.

Frontend consumption checklist:

  1. Data loading
  • Exact endpoint/command/event used.
  • Request method, headers, body shape, and timeout/retry behavior.
  • Loading, empty, and error UI states.
  1. Data mutation
  • Validation before request.
  • Payload shape.
  • Success update behavior.
  • Failure behavior that preserves user input when appropriate.
  1. Rendering
  • Field mapping from contract to UI.
  • Date/number/status formatting.
  • Missing/null/unknown value behavior.
  1. Integration evidence
  • Smoke command or browser/manual steps proving real backend consumption.
  • For subprocess/CLI tests, storage fixtures and overrides must be visible to the spawned process through the agreed contract. Use env vars, cwd, config files, flags, or fixture paths; do not rely on in-process monkeypatches that the subprocess cannot see.
  • Evidence to add to INTEGRATION_REPORT.md.
  1. Boundaries
  • Do not directly read/write backend persistence files.
  • Do not hardcode fixture data except for explicitly marked demos/tests.
  • Do not redesign backend internals.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

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