Skip to main content

gitnexus-impact-analysis

Check dependency and execution-flow impact for shared behavior, interface changes, or an explicit impact-analysis request.

설치로 이동

소스 정보

저장소
Gracker/SmartPerfetto
최근 소스 활동
2026년 9월 14일 02:16
감지된 SKILL.md 언어
영어
스타
700
포크
119

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
name
gitnexus-impact-analysis
description
Check dependency and execution-flow impact for shared behavior, interface changes, or an explicit impact-analysis request.
# Impact analysis with GitNexus Follow the current project's scope and verification rules. Use graph analysis for shared behavior, dependency, interface, or module-boundary changes, or an uncertain cross-module bug. Docs, comments, and small local edits preserving behavior and dependencies do not need graph analysis merely because a symbol is touched. Use `impact` on the key changed symbol to find upstream dependencies. Review direct callers first and read relevant source to determine compatibility: ```text impact({target: "symbolName", direction: "upstream", minConfidence: 0.8, maxDepth: 3}) ``` A direct dependency is not proof of breakage. Judge risk by the actual behavior and contracts changed, not a fixed symbol count. Report HIGH or CRITICAL graph results and cross-check them before the dependent edit; do not dismiss a risk that remains unexplained. Read a specific affected process or use `context` only when its call chain resolves a remaining question. Do not load every process by default. Before committing changes in this scope, inspect task-owned staged changes: ```text detect_changes({scope: "staged"}) ``` Preserve unrelated dirty changes. Reuse relevant graph results when the source and index have not changed. Refresh an index only when its missing or stale coverage matters, using the project's runner with `analyze --index-only` so maintained agent instructions are preserved. Do not run setup as a prerequisite. If the graph is unavailable or remains unreliable after a justified refresh, use direct references, source and affected tests; report uncertainty and resolve material impact before proceeding. Stop once the task's impact is understood.
GitHub에서 보기