Results for “remediation”

Automates privacy impact assessments including data flow mapping, risk scoring, GDPR/CCPA compliance checks, and remediation planning using the NIST Privacy Framework and ICO DPIA guidance.

Implement bounded remaining work for an issue-driven repository change after an authoritative verifier reports concrete gaps. Use when a workflow supplies an issue brief or assessment plus materialized gate-result and remaining-work evidence, and the existing candidate must be corrected without creating a MoonSpec feature packet.

Iteratively reviews and fixes Claude Code skill quality issues by running automated fix-review cycles using the skill-reviewer agent until they meet standards.

Generate one high-value follow-up workflow proposal when MoonMind execution quality issues are detected in a run.

Refactor changed code to reduce duplication, complexity, and wasted work. Use for diffs, commit ranges, PRs, paths, staged changes, or working-tree changes.

Refines an existing skill in place with minimal diffs, using evidence from usage and session mining to improve triggers, workflow, metadata, and resources.

Performs a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.

Orchestrate the full MoonSpec lifecycle from a preselected single-story feature request or active feature directory through specification, planning, TDD task generation, artifact alignment, implementation, and final verification. Use when the user asks for an end-to-end MoonSpec run and the input has already been routed to one independently testable story, or when Codex needs to coordinate `moonspec-specify`, `moonspec-plan`, `moonspec-tasks`, `moonspec-align`, `moonspec-implement`, and `moonspec-verify` without manual analyze/remediation prompts.