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dbm-draft-review

Review draft DBM files against governed KA/SCA content with deterministic tools.

Updated Aug 27, 2026
Search Tags:#governance#review#evidence-bundle#agentic-review#supersession#dbm#ka-artifacts
One-click install
npx skills add https://github.com/sgttomas/chirality-piping --skill dbm-draft-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dbm-draft-review
Source: https://github.com/sgttomas/chirality-piping/tree/main/skills/dbm-draft-review
Command: npx skills add https://github.com/sgttomas/chirality-piping --skill dbm-draft-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the systematic review of a draft DBM against governed KA/SCA content to ensure alignment with current design-basis, supersession rules, and publication planning artifacts, and to prepare a structured substrate for human disposition.

Core Features & Use Cases

  • Build a deterministic evidence bundle by running a sequence of substrate tools to extract section coverage, claims, and TBD markers.
  • Compare the draft against governed knowledge and map to KA artifacts to judge material representation, supersession compliance, and configuration fidelity.
  • Produce candidate findings for human disposition that cite governance sources and trace to substrate artifacts for auditability.

Quick Start

Provide DRAFT_DBM_PATH, REVIEW_OUTPUT_DIR, and DOMAIN_ROOT to start the deterministic review workflow.

Frequently Asked Questions about dbm-draft-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a draft DBM review against governed KA content?▼

Draft DBM review against governed content is automated by running deterministic substrate tools to generate an evidence bundle, extracting section coverage, claims, and TBD markers for human disposition.

What is needed to start an agentic review for supersession compliance?▼

Supersession compliance review requires DRAFT_DBM_PATH, REVIEW_OUTPUT_DIR, and DOMAIN_ROOT inputs, optionally accepting governance artifacts to ensure complete and traceable review outputs.

How does evidence-bundle generation work for configuration fidelity checks?▼

Evidence-bundle generation for configuration fidelity works by running a sequence of deterministic substrate tools that extract claims and map them to KA artifacts to judge material representation.

Can I audit design-basis material representation without manual file comparison?▼

Auditing design-basis material representation without manual comparison is possible by comparing the draft against governed knowledge and mapping to KA artifacts to produce candidate findings for human disposition.

What limitations exist when preparing findings for human disposition?▼

Preparing findings for human disposition requires operating within a defined scope and deterministic tools, meaning it produces candidate findings rather than final automated dispositions for the draft DBM.

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