Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add j4flmao/agent-skills --skill zero-knowledge-proofsgit clone --depth 1 https://github.com/j4flmao/agent-skillsWrote 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/skills/j4flmao/agent-skills/zero-knowledge-proofs)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/zero-knowledge-proofs"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/zero-knowledge-proofs/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/skills/j4flmao/agent-skills/zero-knowledge-proofs"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/zero-knowledge-proofs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00114 | $0.00776 |
| Opus 5.5 | $0.00046 | $0.00310 |
| Sonnet 5.5 | $0.00023 | $0.00155 |
| Haiku 4.5 | $0.00011 | $0.00078 |
Grade A, and why
zero-knowledge-proofs 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 yesterday.
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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zero-Knowledge Proofs
Purpose
Explain how to build and prove zero-knowledge statements: authoring constrained arithmetic circuits in Circom, selecting a proving system (Groth16 vs PLONK and their setup trade-offs), and managing the trusted setup. Emphasizes constraint completeness so circuits are sound, not just satisfiable.
Agent Protocol
Trigger
User phrases: "ZK circuit", "Circom template", "zk-SNARK", "Groth16 vs PLONK", "trusted setup / ptau", "verifier contract".
Input Context
- Circuit language/toolchain (Circom + snarkjs, Halo2, Noir).
- Proving-system constraints (setup, proof size, verifier gas).
Output Artifact
Circuit design and proving-system recommendation with setup guidance.
Response Format
Statement: {what is proven}
System: {Groth16 | PLONK | STARK}
Setup: {per-circuit | universal | transparent}
ZK Circuits (Circom)
Create arithmetic circuits to prove knowledge of a pre-image without revealing it. Every signal must be constrained (<== or ===), not merely assigned (<--): an unconstrained signal lets a malicious prover forge satisfying witnesses.
pragma circom 2.0.0;
include "node_modules/circomlib/circuits/poseidon.circom";
template SecretHasher() {
signal input secret;
signal output hash;
component poseidon = Poseidon(1);
poseidon.inputs[0] <== secret;
hash <== poseidon.out;
}
component main = SecretHasher();
zk-SNARKs
Use Groth16 or PLONK for succinct non-interactive arguments of knowledge.
- Groth16: smallest proofs and cheapest on-chain verification, but requires a circuit-specific trusted setup (a per-circuit Phase 2 on top of the universal Powers of Tau /
.ptau). Changing the circuit requires a new Phase 2. - PLONK: slightly larger proofs, but uses a universal, updatable setup (one Powers of Tau ceremony reused across circuits) — preferred when the circuit changes often.
- A trusted setup is only as safe as its participants: if all contributors to a ceremony collude, they can forge proofs. Transparent systems (STARKs, Halo2 without a trusted setup) avoid this at the cost of larger proofs.
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.
- yesterday Changed · +30 lines · +91 tokens per session cf94bdd70038
- 1mo ago First seen · 39 lines · 23 tokens per session scan A 2cbff940cfac
zero-knowledge-proofs is a skill published in the GitHub repository j4flmao/agent-skills (35 stars, last pushed yesterday), licensed MIT. It adds 114 tokens to every session and 776 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
zero-knowledge-proofs
Zero-knowledge proof systems authority — Groth16, PLONK, STARKs, Circom circuit authoring, snarkjs proof generation and verification, Halo2, recursive proofs, ZK-EVMs, and ZK rollup architectures including Polygon zkEVM, zkSync Era, and Starknet.
zk-proofs
Zero-knowledge proofs and privacy patterns on Stellar. Covers Groth16 verification via BLS12-381 host functions (CAP-0059), Circom (on-chain verifiable today), Noir, and RISC Zero toolchains. Use when building privacy-preserving dApps, ZK verifier contracts, or wiring proving systems to Stellar.
jolt
Wrap a Rust function in a Jolt zero-knowledge proof.
lineth-quickstart
Operating manual for the Lineth Stack quickstart — the Docker-Compose dev/demo stack at docs/getting-started/lineth-stack in the lineth-monorepo that boots a local Linea/Lineth L2 with Sepolia or local L1 finality. Use whenever you are working inside the lineth-stack quickstart and need to boot or run the stack…
official-sui-skills
Pointer to the official Mysten Labs skills for building on Sui — language fundamentals, object model, PTBs, SDKs, publishing, upgrades, frontend integration, accessing on-chain data. Maintained upstream at github.com/MystenLabs/skills; pinned to the same ref the audit catalog derives from (see…
sui-and-move-tools
Use to get bytecode for a deployed Sui package and produce a disassembled working view. One GraphQL call fetches every module's raw bytecode bytes; sui move disassemble (already on the system, running sui prompt) produces .asm files for analysis. Trigger on "fetch this package's bytecode", "get me the .mv for package…