noir-circuit-patterns SKILL.md skillA

noir-circuit-patterns from sparq-org/sparq is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add sparq-org/sparq/noir-circuit-patterns@git:20260612.13b231c

Pins git:20260612.13b231c in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
sparq-org/sparq
Path
.claude/skills/noir-circuit-patterns/SKILL.md
Versions recorded
1
Latest version
git:20260612.13b231c, committed Jun 12, 2026
Size
16,434 bytes
Repository stars
13
License
MIT

Patterns and gotchas for writing Noir circuits that implement SPARQL primitives over committed RDF graphs. Use when implementing BGP matchers, joins, filters, projections, or hashing-to-field strategies; when sizing constraint budgets; when laying out public inputs that bind to a commitment scheme; or when interfacing nargo / Barretenberg (bb) tooling. Always confirm syntax against the noir-lang context7 docs (/noir-lang/noir) before writing code.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Noir circuit patterns for ZKP-SPARQL

Reusable patterns for the Noir circuits that prove correct SPARQL
evaluation over committed RDF graphs. These are starting points;
verify any specific syntax via the `/noir-lang/noir` context7 docs
before pasting into code.

For generic Noir guidance the upstream skills cover better:
`noir-developer` for circuit structure / stdlib / workspace setup,
`noir-idioms` for the idiomatic ACIR-vs-Brillig style, `noir-testing`
for the testing framework. This skill is intentionally narrow to:
SPARQL-domain patterns (BGP, joins, filters, triple commitments),
plus the Noir-language gotchas this codebase has hit specifically
(orphan rule, `pub(crate)` for verifier-hint soundness, trait
associated constants in const-generic positions, IEEE-754
`total_compare` vs `Ord`, witness-vs-comptime branches). For cost
analysis on a candidate gadget see the sister skill `noir-optimisation`.

## Always-do

- **Pin the toolchain.** `Nargo.toml` declares `compiler_version`.
  README of the circuit dir documents the matching `bb` version.
- **Query context7 first.** Before guessing a stdlib function name, a
  trait bound, or a generic syntax, run
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add sparq-org/sparq/noir-circuit-patterns@sha256:e0d231119a23620a

The line at the top of this page pins the label git:20260612.13b231c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

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Versions

The registry has recorded 1 version of this file, committed on Jun 12, 2026.

versioncommittedcommitsizeaudit
git:20260612.13b231c latest2026-06-12 13b231c 16,434 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (16434 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

sparq-org/sparq · 13 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_sy73rlhvhsf4ngwb
GET https://markdownregistry.com/api/v1/resolve?ref=sparq-org/sparq/noir-circuit-patterns
GET https://markdownregistry.com/api/v1/blob/e0d231119a23620a78329069019f17f28ba1fd5414c5177ca3c4932e1cbb3b87

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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