principle-boundary-discipline
About principle-boundary-discipline
A coding skill for placing validation and error handling at system boundaries while keeping internal business logic typed and focused. It emphasizes pure functions and a thin shell so logic can be tested without framework dependencies.
Key features
- 01Validate data at system boundaries
- 02Parse raw inputs into domain types
- 03Keep internal logic free of revalidation
- 04Separate domain concepts from boundary details
- 05Use pure business functions and a thin shell
Use cases
- 01Handling CLI arguments or configuration
- 02Parsing data from external APIs
- 03Testing business logic without framework wiring
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ ericlitman/ open-pstack --skill principle-boundary-disciplineAfter installing, type/principle-boundary-disciplinein Claude Code to confirm it loaded.
Details
From the project READMEBoundary Discipline
Place validation, type narrowing, and error handling at system boundaries. Trust internal code unconditionally. Business logic lives in pure functions. The shell is thin and mechanical.
Why: Scattered validation is noisy, redundant, and gives a false sense of safety. Keep logic out of framework wiring so it can be tested without the framework.
The pattern:
- At boundaries (CLI args, config files, external APIs, network protocols): validate, return errors, handle defensively.
- Inside the system: typed data, error propagation, no re-validation. Trust the types.
- Across the boundary. Expose domain concepts, not the boundary's private representation. Keep general-purpose mechanism inside and special-purpose policy at the edge.
Applications:
Validation and error handling:
- Validate config at parse time (the boundary), not inside business logic
- Parse raw data into domain types at the boundary
- Do not re-export transport, storage, framework, or wire types through the public surface
- No redundant nil checks deep in call chains if the boundary already validated
Code organization:
- Business logic in pure functions with no framework dependencies
- Parse functions: pure transforms from raw bytes to typed state
- Prompt construction: structured state in, string out
- Scoring and assessment: pure transforms from state to results
The tests:
- "Is this data crossing a system boundary right now?" If not, validation is redundant.
- "Can this be a pure function that the shell just calls?" If yes, extract it.