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

Ask your question — Provide a decision request or problem context
Pick mode:
```
dgr_min
```
|
```
dgr_full
```
|
```
dgr_strict
```
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

Mode	Speed	Detail Level	Clarifications	Review Required	Use Case
`dgr_min`	Fastest	Minimal compliant output	Only critical gaps	Risk-based	Quick decisions, low stakes
`dgr_full`	Moderate	Fuller decomposition + alternatives	More proactive	Balanced	Standard decision support
`dgr_strict`	Slower	Conservative analysis	More questioning	Default on ambiguity	High-stakes, uncertain contexts

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

Provide a decision request.
Choose a mode (
```
dgr_min
```
default).
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.

Decision-Grade Reasoning (DGR)

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DGR — Decision‑Grade Reasoning (Governance Protocol)

What this skill does

How to use

What this skill is NOT (non‑claims)

When to use

Inputs

Mode Behavior

Outputs

Safety / governance boundaries

Files in this skill

Quick start

Changelog

Quick Start

Manual Installation

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Multi-Agent Patterns

Memory Systems Design

Context Degradation Detection

Context Optimization

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