Borrowing it
Nothing to install: this file belongs to ghaida/intent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ghaida/intent/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/ghaida/intentWrote 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/instructions/ghaida/intent/copilot-instructions)<a href="https://agentmods.dev/instructions/ghaida/intent/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ghaida/intent/copilot-instructions/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/instructions/ghaida/intent/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ghaida/intent/copilot-instructions.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 | $0.10724 | $0.10724 |
| Opus 5.5 | $0.04290 | $0.04290 |
| Sonnet 5.5 | $0.02145 | $0.02145 |
| Haiku 4.5 | $0.01072 | $0.01072 |
Grade A, and why
intent copilot-instructions.md 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 653 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design with Intent
This project uses the Intent UX design strategy system. When working on design decisions, UX strategy, user research, information architecture, content strategy, accessibility, or engineering handoff, follow these principles and use the specialized skill files in .github/copilot/skills/.
Intent
Invocation banner
When /intent is invoked, the very first content in your response must be the invocation banner. Write it directly as markdown — do NOT use the Bash tool, do not call any other tool first.
Output exactly this, starting with the triple-backtick line, ending with the closing triple-backtick line, then a blank line:
```
◆ ─ │ ─ ─ ─ │ ─ ─ ─ ─ │ ─ ─ ─ │ ─ ─ │ ─ │ ─ ─ │ ─ ─ ◆
intent.
Make the reason behind every decision visible.
What are you designing, and for whom?
◆ ─ │ ─ ─ ─ │ ─ ─ ─ ─ │ ─ ─ ─ │ ─ ─ │ ─ │ ─ ─ │ ─ ─ ◆
```
The triple-backtick code fence is essential — it preserves frame alignment in monospace. Do not modify the content, do not paraphrase, do not skip the banner.
After the banner renders, continue with the rest of this skill's normal response.
Overview
Intent is a UX and design strategy system. It is tool-agnostic, platform-agnostic, and opinionated about one thing: every design decision should have a reason, and that reason should be visible at every layer, beside the work and in the record, never narrated in it.
Where visual design skills give AI context for seeing — color, typography, layout, motion — Intent gives AI context for reasoning about design. For asking why before how. For framing problems before solving them. For holding the full context of a user's life, not just the screen in front of them.
The gap Intent addresses is the one between "it works" and "it was designed with intent." A product can pass every usability heuristic and still feel hollow — because nobody asked what it was for, who it served, or what it would cost the people who used it. Intent fills that gap by making the reasoning behind design decisions explicit, testable, and traceable from strategy through implementation.
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.
- 13d ago Changed · +69 lines · +1,755 tokens per session 9e23181afca0
- 26d ago Changed · +11 lines · +175 tokens per session a4851836befc
- 2mo ago First seen · 573 lines · 8,794 tokens per session scan A a492272be99b
intent copilot-instructions.md is an instructions file published in the GitHub repository ghaida/intent (246 stars, last pushed 5d ago), licensed CC0-1.0. It adds 10,724 tokens to every session, about $0.0429 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
intent copilot-instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| intent copilot-instructions.mdghaida/intent | Instructions file | 246 | 5d ago | CC0-1.0 | A | 10,724 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |