Integrity Suite

Built on the standards

The standards are meant to be used.

These are the things built on the standards: browser tools that put the discipline to work directly, and the MCP servers that make the standards callable inside any AI assistant. Each one is described here and linked out to where it lives, the same way the site hands off to the grants work.

The tools

Precision, put to work in the browser.

Callable in an AI

The standards, inside any assistant.

Four MCP servers make the standards callable tools rather than documents to read, so an AI assistant can run them directly on the work in front of it. Each is published on both npm and JSR.

Frame Language

@proof-of-coord/frame-language

The Dimensional Frame Language precision discipline as callable tools: the watchlist, the admissibility cases, and a text auditor for own-voice writing.

Structural Integrity (CSIS)

@proof-of-coord/structural-integrity

Structural access to the ten Coordination Structural Integrity Suite standards, as tools an assistant can run directly.

Evidence Integrity

@proof-of-coord/evidence-integrity

The evidence integrity standards as callable tools: CROSS obligation gates, WALKRI field discipline, ORE ingestion grading, and STRUCK exit obligations.

Design Suite (DS4AI)

@polymathie/ds4ai

The Design Suite for AI as callable tools: audit a surface across the invisible-correctness axes, and generate head metadata, delivery markup, and palettes, with the family manifest, agent instruction, and standard as resources.

In outside use

Adopted beyond our own tools.

The clearest sign a standard does real work is a project that was not built to showcase it reaching for it anyway.

The Regen Web3 Toolkit

The repository →

An open coordination toolkit from the Regen and Greenpill community that adopts these standards as its structural-integrity and review lens. Its documentation credits CSIS as an external standard developed by Durgadas and treats it as the toolkit’s structural-integrity framework; the framework enforces a CRAFT non-self-adjudication rule in its code, runs a CSIS review lens at its contribution gate, and models the standards as first-class objects in its knowledge base. The toolkit scopes this plainly as informed by the standards, not conforming to them.

Where it credits the standards →