zk-proofs

Zero-Knowledge Proofs & Privacy

Privacy patterns and ZK verification on Stellar/Soroban. Capability is protocol- and SDK-version dependent — always verify CAP status, network version, and soroban-sdk host-function support before relying on a primitive.

When to use this skill

• Implementing a Groth16 (or other SNARK) verifier as a Soroban contract
• Using BLS12-381 host functions
• Planning for BN254 / Poseidon (currently proposed via CAP-0074/0075)
• Integrating Noir or RISC Zero proofs
• Building privacy pools, confidential tokens, or Merkle-tree-backed commitments

Status-sensitive — always verify

1. CAP status (Accepted/Implemented vs draft)
2. Target network software + protocol version
3. soroban-sdk release support for the target host functions
4. Available feature flags + graceful fallback paths

Related skills

• Soroban verifier contract patterns + tests → ../soroban/SKILL.md
• Confidential-token integration with classic assets → ../assets/SKILL.md
• Off-chain proof verification UI → ../dapp/SKILL.md
• CAPs referenced here → ../standards/SKILL.md

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When to use this guide

Use this guide when the user asks for:

• On-chain ZK proof verification patterns
• Privacy-preserving smart contract architecture
• BN254/Poseidon readiness planning
• Groth16 or PLONK integration strategy
• Cross-chain proof verification design

This guide is intentionally status-aware. ZK capabilities on Stellar evolve with protocol and SDK releases.

Source-of-truth checks (required)

Before implementation, always verify:

1. CAP status in stellar/stellar-protocol (Accepted/Implemented vs draft/awaiting decision)
2. Target network protocol/software version
3. soroban-sdk support for required cryptographic host functions
4. Availability of production examples matching your proving system

Primary references:

• CAP-0059 (BLS12-381)
• CAP-0074 (BN254 proposal)
• CAP-0075 (Poseidon/Poseidon2 proposal)
• Stellar protocol/software versions
• RPC providers

Capability model

Treat advanced cryptography as capability-gated:

• Capability A: proof verification primitive support
• Capability B: hash primitive support
• Capability C: SDK ergonomics and bindings
• Capability D: operational cost envelope

Do not assume all capabilities are present on all networks/environments.

Architecture patterns

1) Verification gateway

Use a dedicated verifier contract (or module) for cryptographic checks:

• Normalize and validate inputs
• Enforce domain separation for statements
• Verify proof
• Emit explicit success/failure events

Benefits:

• Smaller audit surface
• Easier upgrades/migrations
• Cleaner operational telemetry

2) Policy-and-proof split

Separate concerns:

• Verifier: cryptographic validity only
• Policy: business/risk/compliance logic
• Application: state transition after verifier + policy pass

Benefits:

• Better testability
• Safer upgrades
• Clearer incident response

3) Feature flags and graceful fallback

Gate advanced paths by environment support:

• Enable ZK flows only where required primitives are verified available
• Keep deterministic fallback behavior for unsupported environments
• Document supported network/protocol matrix in deployment notes

Integration checklist

• Target network supports required primitives
• SDK pin supports required APIs
• Proof statement includes anti-replay binding (nonce/context)
• Full simulation path is covered (proof + policy + state transition)
• Negative-path tests exist for malformed/tampered inputs
• Resource budget checks are documented for realistic proof sizes
• Security review documents all cryptographic assumptions

Common pitfalls

Over-trusting proof payload shape

A payload that parses is not equivalent to a valid statement for your application.

Mitigation:

• Validate public-input semantics and statement domain explicitly.

Missing anti-replay controls

Valid proofs can be replayed without context binding.

Mitigation:

• Bind proofs to session/nonce/action scope and persist replay guards.

Monolithic contract design

Combining verifier, policy, and state logic increases audit complexity.

Mitigation:

• Keep verifier logic isolated and narrow.

Hardcoded protocol assumptions

Assuming primitive availability across all networks causes runtime failures.

Mitigation:

• Capability-gate and verify at deployment time.

Testing strategy

Unit tests

• Input domain validation
• Replay protection behavior
• Event correctness

Integration tests

• End-to-end proof submission flow
• Negative cases: tampered input, stale nonce, unsupported feature path
• Network-configuration differences (local/testnet/mainnet)

Operational tests

• Cost/resource envelope under realistic proof sizes
• Load behavior on verifier hot paths
• Upgrade/migration safety tests for verifier changes

Security review focus

• Authorization and anti-replay guarantees
• Statement domain separation
• Upgrade controls around verifier/policy modules
• Denial-of-service resistance and bounded workloads
• Event/log coverage for forensic traceability

Example starting points

• Soroban examples
• Groth16 verifier example
• Security guide
• Advanced patterns
• Standards reference

What not to do

• Do not claim specific primitives are production-ready without checking CAP status and network support.
• Do not hardcode draft-spec behavior as guaranteed runtime behavior.
• Do not skip simulation and negative-path testing for verifier flows.