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Validation (run from

lcp-openai-serve
by YusukeShimizu
LCP (Lightning Compute Protocol) is an application-layer protocol for paying for small compute jobs over Lightning.
⭐ 2🍴 0📅 2026年1月7日
SKILL.md
name: lcp-openai-serve description: Develop apps/openai-serve (Go). Keep OpenAI gateway behavior correct and avoid logging prompts/outputs. metadata: short-description: Work on the OpenAI-compatible gateway
You are working on the OpenAI-compatible HTTP gateway in apps/openai-serve/.
Scope
- Module:
apps/openai-serve/ - Runtime contract:
apps/openai-serve/README.md
Development principles
These are the consolidated rules that previously lived in apps/openai-serve/AGENTS.md:
- Design for robustness. Keep modules aligned with SRP.
- Use a ubiquitous language. Keep terminology consistent across code and docs.
- Test-first. Prefer TDD when changing behavior.
- Run golangci-lint v2. When changing code, run
make lintand fix findings. - Use
cmp.Diffin tests. Compare expected vs actual withgithub.com/google/go-cmp/cmp.Diff. - Make logging diagnosable. Logging level MUST be configurable (for example via env vars).
- Prefer lnd libraries. Use lnd-provided APIs/libraries before re-implementing.
Non-negotiables
- Logging is sensitive: do not log raw prompts (
messages[].content) or raw model outputs. - Keep behavior stable and explicit: JSON decoding is strict, unsupported fields must be rejected as documented.
Workflow
- Read
apps/openai-serve/README.mdbefore changing behavior. - When adding config/env vars, document them in
apps/openai-serve/README.mdand keep defaults sane. - When changing request/response structures, update tests and ensure the documented constraints still hold.
Validation (run from apps/openai-serve/)
make testmake lintmake fmt
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