DGR — Decision‑Grade Reasoning (Governance Protocol)

Purpose: produce an auditable, machine‑validated decision record for review and storage.

Slug: dgr · Version: 1.0.4 · Modes: dgr_min / dgr_full / dgr_strict · Output: schema-valid JSON

What this skill does

DGR is a reasoning governance protocol that produces a machine‑validated, auditable artifact describing:

• the decision context,

• explicit assumptions and risks,

• a recommendation with rationale,

• and a consistency check.

This skill is designed for high‑stakes or review‑required decisions where you want traceability and structured review.

How to use

1. Ask your question — Provide a decision request or problem context

2. Pick mode: dgr_min | dgr_full | dgr_strict

3. Store JSON artifact in ticket / incident / audit log

What this skill is NOT (non‑claims)

This skill does NOT guarantee:

• correctness, optimality, or truth,

• elimination of hallucinations,

• legal/medical/financial advice suitability,

• or regulatory compliance by itself.

DGR improves process quality (clarity, traceability, reviewability) — not outcome certainty.

When to use

Use when you need:

• an auditable record of reasoning,

• explicit assumptions/risks surfaced,

• reviewer‑friendly structure,

• a consistent output format across tasks and models.

Inputs

• A user request/question (free text).

• Optional: context identifiers (ticket ID, policy name), and desired mode: dgr_min, dgr_full, or dgr_strict.

Mode Behavior

Outputs

A single JSON artifact matching schema.json.

Minimum acceptance criteria (see schema.json):

• at least 1 assumption

• at least 1 risk

• recommendation present

• consistency_check present

Safety / governance boundaries

• Always ask for clarification if key decision inputs are missing.

• If the decision is high‑risk, escalate via recommendation.review_required = true.

• If uncertainty is high, explicitly state uncertainty and limit scope.

• Do not fabricate sources or cite documents you did not see.

Files in this skill

• prompt.md — operational instructions

• schema.json — output schema (stub aligned to DGR spec)

• examples/*.md — example inputs and outputs

• field_guide.md — how to interpret DGR artifact fields

Quick start

1) Provide a decision request. 2) Choose a mode (dgr_min default). 3) The skill returns a JSON artifact suitable for review and storage.

Changelog

1.0.4 — Remove redundant CLAWHUB_SUMMARY.md; summary now sourced from SKILL.md front-matter.

1.0.3 — Tighten front-matter description for better conversion, add reasoning category, compress identity block for faster scanning.

1.0.2 — Add ClawHub front-matter metadata with emoji and homepage for improved discovery and presentation.

1.0.0 — Initial public release of DGR skill bundle with auditable decision reasoning framework, governance protocols, and structured output format.

Note: This is an opt‑in reasoning mode. It is meant to be used alongside human decision‑making, not as a replacement.