Builds a compact profile of a GitHub user or PR author — identity, activity, company, commit history, and trust signals. Use during pull request review or triage, especially for contributions from unfamiliar authors.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Attribution: Sourced from steipete/agent-scripts by Peter Steinberger.
Build a compact maintainer-facing profile for a PR author or GitHub user. Use this by default during PR review to understand contributor identity, trust level, and activity history.
Prefer a GitHub login. From a PR:
gh pr view <n> --json author,url,headRepository,baseRepository -q '{author:.author.login,url:.url,repo:.baseRepository.nameWithOwner}'
gh api "users/<login>" --jq '{login,name,company,location,bio,blog,twitter_username,created_at,followers,following,public_repos}'
gh search prs --repo <owner/repo> --author <login> --state merged --limit 20 --json number,title,mergedAt,url
gh search prs --repo <owner/repo> --author <login> --state open --limit 20 --json number,title,updatedAt,url
gh search issues --repo <owner/repo> --author <login> --state open --limit 20 --json number,title,updatedAt,url
gh api "repos/<owner>/<repo>/collaborators/<login>/permission" --jq '{permission,user:.user.login}' 2>/dev/null || true
git log --all --author="<login>" --since="90 days ago" --oneline --decorate --no-merges | head -40
git shortlog -sne --all | rg -i "<login>|<name>|<email>"
Keep it short. Add this block near the top of a PR review:
Author context: @login
- Who: <name/company/location/role, confidence>
- Activity: <merged/open PRs, issues, reviews/commits if known>
- Signal: <maintainer/candidate/drive-by/vendor/security/unknown>
- Risk: <review-load, broad PRs, low history, company-governance, none obvious>
Do not quote private phone/email/contact details. Separate employer from company-directed work; almost everyone has an employer.
After a merge/rejection/close/review, add a note only if it creates future review value: first good merge, unusually strong work, repeated quality problems, slop, no-repro churn, exceptional responsiveness, lack of follow-through, or identity confirmation.
Keep notes terse, factual, dated, and linked. Do not record ordinary noise.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.