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, ordgr_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 instructionsschema.json— output schema (stub aligned to DGR spec)examples/*.md— example inputs and outputsfield_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.