Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/yanacuti1121/Yana-AI --skill openai-plugin-eval-evaluate-skill명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Sovereign-grade safety OS for AI coding agents. 62 hooks, 2,025 skills, L1 memory, circuit breakers, and cross-engine enforcement — blocks rm -rf, force push, pipe-to-shell, and 40+ attack vectors before they reach your repo.
Use when the user wants to generate or keep repository documentation up to date via OpenWiki (langchain-ai/openwiki) — an LLM-driven CLI that writes a wiki for a codebase (or a personal knowledge base from Notion/Gmail/Slack/X/web search) and keeps it fresh via a scheduled CI pull request. Examples: "set up OpenWiki for this repo", "keep the docs updated automatically", "generate an agent wiki".
Use when implementing the core AR pipeline (camera pose estimation, marker tracking, projection overlay) from first principles — not when just using ARKit/ARCore/Unity's AR framework as a black box. Triggers on: 'build augmented reality from scratch', 'marker-based AR tracking', 'camera pose estimation', 'implement fiducial marker detection', 'AR projection matrix math', 'markerless AR tracking'. Covers marker-based vs markerless tracking, pose estimation, and the projection math to overlay 3D content on a camera feed.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | openai--plugin-eval--evaluate-skill |
| description | plugin-eval — evaluate-skill |
| origin | openai/plugins — plugin-eval/evaluate-skill (MIT) |
| license | MIT |
| version | 0.1.0 |
| compatibility | yana-ai >= 0.14.0 |
Use this skill when the target is a local skill directory or SKILL.md file.
~/.codex/skills/<skill-name> and then repo-local skills/<skill-name>.plugin-eval start <skill-path> --request "<user request>" --format markdown to show the routed path clearly.plugin-eval analyze <skill-path> --format markdown.At a Glance, Why It Matters, Fix First, and Recommended Next Step before drilling into details.plugin-eval init-benchmark <skill-path> and show the setup questions for refining the starter scenarios in .plugin-eval/benchmark.json.plugin-eval measurement-plan <skill-path> --observed-usage <usage.jsonl> --format markdown to recommend what to instrument or improve next.../improve-skill/SKILL.md.name and description qualitySKILL.md or descriptionsEvaluate this skill.Give me an analysis of the game dev skill.Audit this skill.Why did this skill score that way?What should I fix first?Measure the real token usage of this skill.plugin-eval start <skill-path> --request "Evaluate this skill." --format markdown
plugin-eval analyze <skill-path> --format markdown
plugin-eval explain-budget <skill-path> --format markdown
plugin-eval measurement-plan <skill-path> --format markdown
plugin-eval init-benchmark <skill-path>
plugin-eval benchmark <skill-path> --dry-run
../../references/chat-first-workflows.md