Odin-claude-plugin validation-first

Validation-first development - design state machine specifications from requirements, then execute CREATE -> VERIFY -> IMPLEMENT cycle. Use when developing with formal state machine specifications, invariants, and temporal properties before writing implementation code.

install
source · Clone the upstream repo
git clone https://github.com/OutlineDriven/odin-claude-plugin
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/OutlineDriven/odin-claude-plugin "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/validation-first" ~/.claude/skills/outlinedriven-odin-claude-plugin-validation-first && rm -rf "$T"
manifest: skills/validation-first/SKILL.md
source content

Validation-first development

Define state machines from requirements before implementation. Specifications say what the system MUST do. Encode compile-time properties in types first, then layer state machine modeling for properties types cannot express.

Modern insight (2025): State machines exist on a spectrum from runtime enums to compile-time typestates. Use the strongest mechanism available. XState v5 introduces actor model semantics -- state machines are now first-class concurrent entities, not just enum switches.

See approaches for language-specific state machine mechanisms. See examples for brief state machine patterns per language. See formal-tools for specification and model checking tools.


State Machine Taxonomy (decision guidance)

LevelMechanismStrengthUse When
Typestate (compile-time)Generic type params, phantom dataInvalid transitions unrepresentableProtocol APIs, builder patterns, Rust FFI
Statecharts (hierarchical)Nested states, parallel regionsComplex workflows, entry/exitGame state, multi-modal UI, XState
Flat FSM (runtime)Enum + match/switchSimple, auditableOrder lifecycle, connection mgmt
Actor modelIndependent entities, message passingConcurrent stateDistributed systems, Erlang/Elixir, XState v5

Default choice: Use the strongest mechanism the language supports. Typestate in Rust, sealed classes in Kotlin, discriminated unions in TypeScript.

Validation Levels

Type system (strongest) > State machine > Contract > Runtime check (weakest)

When to Apply

  • Protocol implementations (network, API, auth flows)
  • Workflow engines (approval chains, CI/CD pipelines)
  • Concurrent/distributed systems (coordination state)
  • Order lifecycle (e-commerce, payments, shipping)
  • Connection/session management
  • Actor systems with message-driven state
  • Event sourcing aggregates (command validation against current state)

When NOT to Apply

  • Stateless REST endpoints
  • Pure data transformations (map/filter/reduce)
  • Simple CRUD without lifecycle
  • Configuration parsing
  • Batch processing without state

Anti-patterns

  • Boolean soup:
    { isLoading: true, isError: true, data: X }
    -- contradictory states representable. Use discriminated unions instead.
  • Stringly-typed states:
    state: "pending"
    with no exhaustiveness check
  • Partial transition coverage: Some transitions undefined -- runtime "impossible" states
  • Split-brain: State and behavior in separate modules -- changes require cross-module updates
  • Invariants at boundaries only: Check invariants at every transition, not just entry/exit
  • Implicit transitions: State changes scattered across codebase -- impossible to audit
  • State explosion without hierarchy: Flat FSM with 50+ states -- use statecharts (nested states)

Pseudocode Template

STATE MACHINE: <Name>
  STATES: S1 | S2 | S3
  VARIABLES: var1: type, var2: type
  INIT: var1 = val, state = S1
  ACTION name(args): PRE: guard -> POST: new_state, effects
  INVARIANT: condition_that_always_holds

Event Sourcing Integration

When state machines guard event-sourced aggregates:

  1. Command arrives -> validate against current aggregate state machine
  2. If transition valid -> emit immutable event
  3. State rebuilt from event replay
  4. Invalid transitions rejected before events created -- impossible to corrupt event log

Workflow (language-neutral)

  1. PLAN -- Identify states, variables, actions, invariants from requirements. Draw state diagram.
  2. CREATE -- Define state machine spec using pseudocode template. Choose mechanism level (typestate/FSM/actor).
  3. VERIFY -- Type-check, confirm exhaustive matching on all states, validate invariants hold at every transition.
  4. IMPLEMENT -- Target code mirrors spec. One state type, one transition function, one invariant check per concern.

Constitutional Rules (Non-Negotiable)

  1. CREATE First: Define state machine specification from plan
  2. Invariants Must Hold: All invariants verified at every transition
  3. Actions Must Type: All actions type-check with exhaustive matching
  4. Implementation Follows Spec: Target code mirrors specification structure

Validation Gates

GatePass CriteriaBlocking
TypecheckNo errors; exhaustive match where language enforces itYes
InvariantsAll invariant assertions pass after each actionYes
TestsAll state transition tests passIf present

Exit Codes

CodeMeaning
0Specification verified, ready for implementation
11Checker not available
12Syntax/type errors in specification
13Invariant violation detected
14Specification tests failed
15Implementation incomplete