Atlas / Skills / nwave-ai / Nw Tlaplus Verification

Nw Tlaplus VerificationSAFE

skills/nwave-ai/nw-tlaplus-verification

AI agents that guide you from idea to working code, with you in control at every step.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
617
01

Overview

AI agents that guide you from idea to working code, with you in control at every step.

Read from source at commit 1a864ec81cdeOBSERVED · 2026-10-14
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: nw-tlaplus-verification
agent: nw-functional-software-crafter
description: TLA+ formal verification for design correctness and PBT pipeline integration
user-invocable: false
disable-model-invocation: true
---

# TLA+ / Formal Verification

When and how to use TLA+ for design verification. Complements PBT (which verifies implementation).

## Decision Tree: When to Use TLA+ vs PBT vs Both

```
Is the risk in the DESIGN or the IMPLEMENTATION?
  |
  +-- Design risk (protocol correctness, distributed coordination, concurrency)
  |     -> Does the system involve concurrent or distributed state?
  |       Yes -> Use TLA+ for design verification
  |              Then use PBT to verify implementation matches design
  |       No  -> PBT alone is likely sufficient
  |
  +-- Implementation risk (edge cases, serialization, data transforms)
  |     -> Use PBT alone
  |
  +-- Both
        -> TLA+ validates design, PBT validates implementation
```

### Use TLA+ When:

- Design bug would cause data loss or significant customer impact
- System involves concurrent or distributed state manipulation
- Subtle interactions between components are hard to reason about informally
- Informal reasoning or testing has already failed to prevent bugs

### Skip TLA+ When:

- Simple CRUD with straightforward business logic
- UI/UX behavior
- Performance optimization (TLA+ models correctness, not performance)
- Design is well-understood; risk is only in implementation bugs
- Rapid prototyping where design changes frequently

## TLA+ in 60 Seconds

TLA+ describes **what** a system should do, not how. A specification consists of:

- **Variables**: State components
- **Init**: Valid starting states
- **Next**: How system transitions between states
- **Invariants**: Conditions that must hold in every reachable state

TLC model checker exhaustively explores all reachable states within bounded model. If invariant violated, TLC provides counterexample trace -- shortest path from initial state to violation.

## PlusCal as Entry Point

PlusCal is imperative-looking language transpiling to TLA+. Most programmers find it easier to learn first.

```
(* --algorithm Transfer
variables accounts = [a |-> 100, b |-> 100];

process Transfer \in 1..2
variables from, to, amount;
begin
  Pick:
    from := "a"; to := "b"; amount := 50;
  Check:
    if accounts[from] >= amount then
      Debit:
        accounts[from] := accounts[from] - amount;
      Credit:
        accounts[to] := accounts[to] + amount;
    end if;
end process;
end algorithm; *)

\* Invariant: total money is conserved
MoneyConserved == accounts["a"] + accounts["b"] = 200
```

**Labels** define atomicity boundaries. Everything between two labels executes atomically. Concurrency interleavings happen at label boundaries.

PlusCal limitation: can't express all TLA+ patterns (complex fairness, some non-determinism forms). Start with PlusCal, switch to raw TLA+ when needed.

## TLC Model Checker Workflow

1. Write spec in PlusCal or TLA+
2. Configure model: concrete values for constants, invariants to check
3. Run TLC: exhaustive breadth-first exploration of all reachable states
4. If violation found: TLC provides counterexample trace (shortest path to violation)
5. Fix design, re-check
6. Gradually increase model parameters (more nodes, more messages)

### Model Configuration (.cfg file)

```
SPECIFICATION Spec
CONSTANT
  Nodes = {n1, n2, n3}
  MaxMessages = 4
INVARIANT
  MoneyConserved
  NoDoubleDelivery
```

### Managing State Space Explosion

State space grows O(constants^variables). 3 nodes = ~1,000 states; 4 nodes = ~100,000. Most bugs manifest with 2-3 nodes.

Mitigation:
- Start with 2-3 nodes, low bounds (most bugs manifest with small configs)
- Use symmetry reduction for interchangeable elements
- Use state constraints to limit exploration
- Use simulation mode (`-simulate`) for large models (random sampling instead of exhaustive)

## Common Modeling Patterns

### Message Passing
Network as set of in-flight messages. Send adds to set, receive removes. Unreliable network: messages removed without receipt (loss) or kept after receipt (duplication).

### Shared Memory
Variables represent memory locations. Locks modeled as variables indicating holding process.

### Failures
Node crash: non-deterministic removal from active set. Volatile state lost, persistent retained. Restart: rejoin with fresh volatile state.

### Leader Election
Nodes propose, vote, become leader when majority achieved. Safety: at most one leader per term.

### Transactions
Two-phase commit: resource managers prepare, transaction manager commits when all prepared. Safety: no partial commits.

## Safety and Liveness

**Safety** ("nothing bad happens"): Expressed as invariants. Violated by finite counterexample trace. Example: "Two processes never hold the same lock."

**Liveness** ("something good eventually happens"): Requires fairness assumptions. Cannot be violated by finite prefix. Example: "Every request eventually gets a response."

Start with safety. Add liveness after safety established.

## The TLA+ to PBT Pipeline

Key integration point between formal verification and testing:

1. **TLA+ specification**: Identify invariants, safety properties, state machine transitions
2. **Model check with TLC**: Verify design correctness
3. **Implementation phase**: Code the verified design
4. **PBT phase**: Translate TLA+ invariants into PBT properties

Properties discovered during TLA+ become PBT test oracles:
- TLA+ invariant "total money conserved" becomes `assert sum(all_accounts) == initial_total`
- TLA+ safety "no double-delivery" becomes stateful PBT postcondition
- TLA+ state machine transitions map to stateful PBT commands

TLA+ invariants are exhaustive. PBT samples. If TLA+ proves A, B, and C, your PBT must check all three.

### What Each Catches

| TLA+ Catches (Design) | PBT Catches (Implementation) |
|----------------------|----------------------------|
| Protocol deadlocks | Off-by-one 
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 1a864ec81cdefull audit observations/trust-audit/skill/nwave-ai__nw-tlaplus-verification.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-141a864ec81cdeSAFEB89first audit
05

Questions

What does the Nw Tlaplus Verification skill do?

AI agents that guide you from idea to working code, with you in control at every step.

Is Nw Tlaplus Verification safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Nw Tlaplus Verification access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (1a864ec81cde), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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