SDD - Scenario-Driven Detection

Scenario-Driven Detection — AI 자율 추론 기반 논리 결함 탐지/수정 프레임워크. 기능 에러(crash, 500)가 아닌 '논리적으로 비정상인 동작'을 찾아 자동 수정한다. 사용 시점: (1) URL을 주고 웹사이트 논리 테스트 요청, (2) 소스코드 프로젝...

Before installing or using this skill, be aware of these points: 1) The skill will try to read and modify your project files, run tests, and make git commits — only use it on repositories you trust and back up or work on a branch/fork. 2) It performs live site crawling and may require login credentials or tokens; provide only ephemeral or least-privilege credentials and avoid sharing long-lived secrets. 3) The metadata does not declare required tools (browser automation like Playwright/Puppeteer, a headless browser, git, node/test runner); confirm your agent environment has the expected tooling or the skill may fail or behave unpredictably. 4) Confirm whether the agent will ask for explicit user approval before applying any code changes or pushing commits — prefer modes that generate fix proposals rather than auto-applying fixes. 5) If you plan to let the agent post reports to Slack/Discord, use dedicated webhooks with limited scope. Providing the author or maintainer details, a clear list of runtime dependencies, and an explicit safety/consent flow (e.g., require interactive confirmation for commits) would reduce risk and could change this assessment to benign.

Type: OpenClaw Skill Name: sdd Version: 1.0.0 The 'SDD' skill bundle describes an automated framework for logic-flaw detection and code fixing. It contains high-risk instructions in SKILL.md that direct the AI agent to perform automated web crawling (including requesting authentication cookies/tokens) and to autonomously modify and commit source code based on AI-generated inferences. While the stated intent is for quality assurance, the combination of automated code modification, repository write access, and authenticated network interaction represents a significant attack surface and high-risk behavior that warrants a suspicious classification.