Use Security Ownership Map safely

This guide explains how teams can prepare the official OpenAI Security Ownership Map skill for a controlled Git analysis. It follows the primary SKILL.md in the official repository. The working copy and generated reports should be handled according to the organization’s privacy and security requirements.

Scope and Data Hygiene

Define the repository, branch, time window, and purpose before analysis. Decide whether authors or committers represent people and record that choice. Use a controlled working copy, review access rights, and avoid transferring complete histories or generated graph files into unprotected systems. Secrets, personal contact details, and internal paths do not belong in a public report.

Sensitivity and Filters

Compare the default authentication, cryptography, and secret patterns with the actual project structure. Add only patterns whose meaning the security team can explain. Record the time window, bot exclusions, merge policy, and co-change exclusions. A filter may remove relevant activity, while an overly broad scope may overrepresent infrastructure noise and historical exceptions.

Validate Findings

Do not treat the summary as an automatic organizational ownership decision. Compare low bus-factor findings with current responsibilities, on-call arrangements, CODEOWNERS, and review practice. Sample the underlying files and commits. Remember that historical activity does not prove current expertise and that a single large commit can create an artificial cluster. Discuss notable paths with the responsible security and engineering teams.

Storage and Sharing

Protect CSV, JSON, and GraphML artifacts to the same standard as the underlying history. When visualizing, minimize or pseudonymize people and internal paths unless they are necessary for the question. Record the tool version, parameters, scope, and review date. Before placing findings in a ticketing system or graph database, review data exposure, role permissions, and retention requirements.

Security Boundaries

The skill creates an evidence-grounded analytical baseline, not a certification, incident finding, or automatic change to a repository or access control. Perform deeper assessment in an isolated setting with responsible specialists. Final prioritization should combine technical evidence, operational reality, and organizational accountability.