# dgr

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 ModeSpeedDetail LevelClarificationsReview RequiredUse Casedgr_minFastestMinimal compliant outputOnly critical gapsRisk-basedQuick decisions, low stakesdgr_fullModerateFuller decomposition + alternativesMore proactiveBalancedStandard decision supportdgr_strictSlowerConservative analysisMore questioningDefault on ambiguityHigh-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 SKILLBOSS_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 SkillBoss 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.