Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add STELIORD/agentic-awesome-skills --skill ask-copilotgit clone --depth 1 https://github.com/STELIORD/agentic-awesome-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/steliord/agentic-awesome-skills/ask-copilot)<a href="https://agentmods.dev/skills/steliord/agentic-awesome-skills/ask-copilot"><img src="https://agentmods.dev/badge/skills/steliord/agentic-awesome-skills/ask-copilot/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/steliord/agentic-awesome-skills/ask-copilot"><img src="https://agentmods.dev/badge/skills/steliord/agentic-awesome-skills/ask-copilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.01384 |
| Opus 5 | $0.00015 | $0.00692 |
| Sonnet 5 | $0.00006 | $0.00277 |
| Haiku 4.5 | $0.00003 | $0.00138 |
Grade A, and why
ask-copilot scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to ask-copilot — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 113 lines · 30 tokens per session scan A 5daa95975cce
ask-copilot is a skill published in the GitHub repository STELIORD/agentic-awesome-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 1,384 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ask-copilot, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
ask-copilot
Use GitHub Copilot CLI in non-interactive mode to ask questions, review code, or generate snippets without manual interaction.
ask-copilot
Use GitHub Copilot CLI in non-interactive mode to ask questions, review code, or generate snippets without manual interaction.
ask-copilot
Use GitHub Copilot CLI in non-interactive mode to ask questions, review code, or generate snippets without manual interaction.
ask-copilot
Use GitHub Copilot CLI in non-interactive mode to ask questions, review code, or generate snippets without manual interaction.
pr-reviewer
AI-powered pull request review and summarization - analyze diffs, detect bugs, security issues, suggest improvements, generate PR summaries, and auto-comment on GitHub PRs.
copilot-cli
A guide for using GitHub Copilot from the command line, including sign-in, operating modes, permissions, and GitHub connections.