smithery/plurigrid

spec-to-code-compliance

Verifies code implements exactly what documentation specifies for blockchain audits. Use when comparing code against whitepapers, finding gaps between specs and implementation, or performing compliance checks for protocol implementations.

Installation

$ npx skills add smithery/plurigrid --skill spec-to-code-compliance

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

LicenseAGPL-3.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,618 B
  • docs SUMMARY.md 269 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Spec To Code Compliance Skill

Trit: -1 (MINUS) Category: spec-to-code-compliance Author: Trail of Bits Source: trailofbits/skills License: AGPL-3.0

Description

Verifies code implements exactly what documentation specifies for blockchain audits. Use when comparing code against whitepapers, finding gaps between specs and implementation, or performing compliance checks for protocol implementations.

When to Use

This is a Trail of Bits security skill. Refer to the original repository for detailed usage guidelines and examples.

See: https://github.com/trailofbits/skills

Related Skills

  • audit-context-building
  • codeql
  • semgrep
  • variant-analysis

SDF Interleaving

This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):

Primary Chapter: 3. Variations on an Arithmetic Theme

Concepts: generic arithmetic, coercion, symbolic, numeric

GF(3) Balanced Triad

spec-to-code-compliance (+) + SDF.Ch3 (○) + [balancer] (−) = 0

Skill Trit: 1 (PLUS - generation)

Connection Pattern

Generic arithmetic crosses type boundaries. This skill handles heterogeneous data.