본문으로 건너뛰기
cccskills
무료GitHub에 공개

ask-copilot

Ask GitHub Copilot for code explanations, reviews, or short code examples through its command line interface. The skill supports requests without an interactive screen and named sessions for follow-up questions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Use GitHub Copilot CLI in non-interactive mode to ask questions, review code, or generate snippets without manual interaction.

연동 도구GitHub
설치 방법 보기

이럴 때 유용합니다

  • Getting a second opinion on code
  • Reviewing an approved code excerpt
  • Requesting a short code example
  • Continuing questions in a named session

포함된 파일(1)

  • SKILL.md6.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Ask Copilot

Overview

This skill allows the agent to interact with GitHub Copilot CLI (copilot) in a non-interactive (headless) mode. Use this skill when the user explicitly wants secondary advice, code reviews, explanations, or code generation from GitHub Copilot's models.

Use source: self and source_type: self when the skill is original to this repository and does not require README external-source credit.

Copilot is an external service. Treat prompts, file paths, snippets, repository content, command output, and generated suggestions as data that may leave the local environment.

When to Use This Skill

  • User Request Only: Use this skill ONLY when the user explicitly asks to "consult Copilot", "ask Copilot", "review with Copilot", or explicitly requests a second opinion using Copilot.
  • Do NOT Invoke Automatically: To comply with privacy policies, the agent must not invoke this skill automatically for its own second opinions or checks without explicit user consent.

How It Works

Step 1: Request Explicit User Consent

Before executing any command that references local files, repository paths, snippets, command output, secrets-adjacent config, or private project context, you MUST obtain explicit user consent to send that material to GitHub Copilot.

Ask for separate approval before allowing Copilot to run tools, execute shell commands, edit files, install packages, or mutate the workspace.

Step 2: Execute with Minimal Permitted Flags

To prevent TUI lockups, execute the copilot command with headless flags. Do not use blanket bypasses such as --yolo, --allow-all-tools, or --allow-all-paths for routine Q&A or review.

  • For Read-Only / General Q&A: Send only the user-approved, redacted text in the prompt. Do not grant Copilot broad local-path access; it is not needed when the prompt already contains the approved context.
  • For Trusted Mutation Tasks: Prefer a scoped permission flag if the CLI supports one. Use blanket mutation bypasses only after the user explicitly authorizes Copilot to execute tools and mutate the workspace for the specific task.

Step 3: Use Session Management (Optional)

To maintain conversation context, use --name and --resume flags, or pass a --session-id on subsequent calls.

Examples

Example 1: General Question (Read-Only)

Does not require repository path access or mutation permissions.

copilot -p "Explain how to implement a debounce function in TypeScript" -s

Example 2: Code Review (Approved File Excerpt)

Always confirm the exact file and excerpt with the user before executing. Keep the path in a quoted variable; build the prompt from a static instruction plus the approved excerpt. Shell does not re-evaluate command-substitution output, so metacharacters inside the reviewed file remain prompt text rather than shell syntax:

review_file="path/to/file.ts"
test -f "$review_file" || { echo "File not found: $review_file" >&2; exit 1; }
copilot -p "$(printf '%s\n\n' 'Review this approved excerpt for potential memory leaks:'; sed -n '1,220p' -- "$review_file")" -s

Never construct a shell command by interpolating user-controlled prompt text, paths, issue content, or filenames into shell source. Use fixed command structure, quoted variables, and approved file content only.

Example 3: Named Session Management

copilot -p "Remember this session label for follow-up questions." -s --name "my-session-name"
copilot -p "Summarize the prior advice in this session." -s --resume "my-session-name"

Best Practices

  • ✅ Do: Ask for user consent before uploading any project files to third-party endpoints.
  • ✅ Do: Send only the approved, redacted excerpt; keep Copilot out of the broader workspace.
  • ✅ Do: Keep untrusted values in quoted variables or command input, never in shell source.
  • ✅ Do: Use -s (silent) to suppress metadata and statistics, leaving only clean output.
  • ❌ Don't: Automatically trigger this skill for background second opinions without the user's explicit ask.
  • ❌ Don't: Send files, logs, environment details, or private repository context to Copilot without explicit approval.
  • ❌ Don't: use --allow-all-paths for a review, or interpolate untrusted text inside copilot -p "...".
  • ❌ Don't: Run copilot without permission-bypass flags in background tasks, as it will hang waiting for interactive input.

Limitations

  • This skill does not replace environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, or safety boundaries are missing.
  • Copilot responses may be incomplete, outdated, or wrong; verify any proposed code locally before using it.

Security & Safety Notes

  • The --yolo flag bypasses all permission prompts and allows Copilot CLI to run arbitrary shell commands and mutate workspace files. It must be treated as a high-risk option and never used by default.
  • Always check that the code/files being sent do not contain sensitive credentials, API keys, or private environment variables.
  • Prefer redacted snippets over whole files when only a small context sample is needed.
  • --allow-all-paths grants Copilot broader local visibility than a narrow review requires; it is not a read-only least-privilege flag.

Common Pitfalls

  • Problem: The terminal hangs or the command times out. Solution: Ensure both -p (or --prompt) and the narrowest required non-interactive permission flag are present in the command arguments. Without required permission flags, the CLI may prompt for confirmation and hang headless processes.

Related Skills

  • @cli-assistant - How to interact with CLI tools in general.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Assess a new or existing AI project by examining its code, goals, and constraints. Recommend skills confirmed to exist in the available registry, then outline tasks and implementation phases with dependencies, completion criteria, and checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Planning the first steps of a new AI project
  • Assessing technical issues in an existing project
  • Selecting relevant skills from an available registry
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

007

무료

Review code and infrastructure for security risks, map potential threats, and plan stronger defenses. The skill covers OWASP checks, attack and defense exercises, and incident response, with validation required for each environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing code and infrastructure security
  • Mapping threats with STRIDE or PASTA
  • Planning stronger security settings
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

Turn a repeatable task into an Andru.ia skill with clear inputs, outputs, examples, and limits. Draft SKILL.md, check the folder structure and required validations, and prepare a pull request describing the changes for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating a skill for a repeatable task
  • Improving an existing skill’s examples and limits
  • Validating skill files and preparing a pull request
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

Prepare an industry briefing once a project's sector is defined. It covers sector context, potentially applicable regulations, familiar interface patterns, technology choices, and risks, while separating verified evidence from hypotheses and questions requiring further review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Researching industry requirements before product design
  • Checking regulations for a project's jurisdiction
  • Choosing interface patterns familiar to target users
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

Create presentation drafts from text, outlines, or documents through the 2slides API. Match a reference image's style, choose themes, add AI voice narration, and export slide images or audio for review and use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Create a presentation from text or an outline
  • Summarize a document into slides
  • Match slide styling to a reference image
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Plan an anonymous peer feedback process
  • Create a CSV template for feedback responses
  • Align feedback fields across SQL and JSON Schema
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

sickn33의 스킬 모두 보기

이 스킬의 문제 신고