Jolt is a zero-knowledge virtual machine for RISC-V that enables programs to be executed and cryptographically proven. It is for developers and contributors working with zero-knowledge proofs and virtual machines, while the catalogue entries provide instructions and skills for using or developing Jolt.
Borrowing it
Nothing to install: this file belongs to a16z/jolt. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/a16z/jolt/main/CLAUDE.mdgit clone --depth 1 https://github.com/a16z/joltWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/a16z/jolt/claude-md)<a href="https://agentmods.dev/instructions/a16z/jolt/claude-md"><img src="https://agentmods.dev/badge/instructions/a16z/jolt/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/a16z/jolt/claude-md"><img src="https://agentmods.dev/badge/instructions/a16z/jolt/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.04269 | $0.04269 |
| Opus 5.5 | $0.01708 | $0.01708 |
| Sonnet 5.5 | $0.00854 | $0.00854 |
| Haiku 4.5 | $0.00427 | $0.00427 |
Grade A, and why
jolt CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Project Overview
Jolt is a zkVM (zero-knowledge virtual machine) for RISC-V (RV64IMAC) that efficiently proves and verifies program execution. It uses sumcheck-based protocols, multilinear polynomial commitments (Dory), and the Twist/Shout lookup argument.
Agent Workflow
- Carry an authorized request through implementation and verification. Resolve routine choices from repository conventions; ask only when missing information would materially change correctness or scope. Continue independent work while an answer is pending.
- User instructions take precedence over skill guidance. Reuse authorization and answers already supplied. If a skill blocks requested work, cite its exact file and instruction and explain the conflict.
- Read relevant code before asking about repository facts. Use
rgfor searches; batch independent reads when supported, and wait for required results before dependent work. Run Cargo commands sequentially, including across agents. - Treat follow-up messages as updates to the active task unless the user cancels or replaces it.
- Lead with the result. Keep explanations concise and concrete; report checks actually run, their results, and any remaining blocker. Preserve required output formats in automated workflows.
Essential Commands
Linting and Formatting
# Must pass in both standard and ZK modes
cargo clippy --all --features host -q --all-targets -- -D warnings
cargo clippy --all --features host,zk -q --all-targets -- -D warnings
cargo fmt -q
Testing
# Always cargo nextest, never cargo test
cargo nextest run --cargo-quiet
# Run specific test in specific package
cargo nextest run -p [package_name] [test_name] --cargo-quiet
# Guest x mode acceptance matrix (crates/jolt-prover/tests/e2e_matrix.rs): one
# table per instruction profile, proven in clear, ZK, and Akita modes in CI.
# Ordinary profile: ten guest cases.
cargo nextest run -p jolt-prover --features prover-fixtures -E 'binary(e2e_matrix)' --cargo-quiet
cargo nextest run -p jolt-prover --features prover-fixtures,zk -E 'binary(e2e_matrix)' --cargo-quiet
cargo nextest run -p jolt-prover --features akita,prover-fixtures -E 'binary(e2e_matrix)' --cargo-quiet
# Field-inline profile: field_ops, field_limbs, and muldiv.
cargo nextest run -p jolt-prover --features prover-fixtures,field-inline -E 'binary(e2e_matrix)' --cargo-quiet
cargo nextest run -p jolt-prover --features prover-fixtures,field-inline,zk -E 'binary(e2e_matrix)' --cargo-quiet
cargo nextest run -p jolt-prover --features prover-fixtures,field-inline,akita -E 'binary(e2e_matrix)' --cargo-quiet
# Full prover suites and the verifier fixtures (mirror CI)
cargo nextest run -p jolt-verifier standard_muldiv --features prover-fixtures --cargo-quiet
cargo nextest run -p jolt-prover --features prover-fixtures --cargo-quiet
cargo nextest run -p jolt-prover --features prover-fixtures,zk --cargo-quiet
cargo nextest run -p jolt-prover --features akita,prover-fixtures --cargo-quiet
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed f618cbcf290c
- 15d ago Changed · +5 tokens per session e5ec7195e794
- 21d ago Changed · +7 tokens per session f962226726e3
- 22d ago Changed · +6 lines · +168 tokens per session 1b4b41fb6db6
- 29d ago Changed · +5 lines · +107 tokens per session 61cfb2113c32
- 1mo ago Changed · +10 lines · +233 tokens per session 319e1c26fa0b
- 1mo ago Changed · +7 lines · +150 tokens per session 4695d3e6465a
- 1mo ago Changed · -67 lines · -1,677 tokens per session 9943aed5ca58
- 1mo ago Changed · +93 tokens per session 5feb974952b1
- 2mo ago First seen · 272 lines · 5,183 tokens per session scan A 0f12d54fe982
jolt CLAUDE.md is an instructions file published in the GitHub repository a16z/jolt (1,059 stars, last pushed today), licensed Apache-2.0. It adds 4,269 tokens to every session, about $0.0171 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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