Borrowing it
Nothing to install: this file belongs to israads/token-efficient. 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/israads/token-efficient/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/israads/token-efficientWrote 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/israads/token-efficient/copilot-instructions)<a href="https://agentmods.dev/instructions/israads/token-efficient/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/israads/token-efficient/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/israads/token-efficient/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/israads/token-efficient/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 | $0.00606 | $0.00606 |
| Opus 5.5 | $0.00242 | $0.00242 |
| Sonnet 5.5 | $0.00121 | $0.00121 |
| Haiku 4.5 | $0.00061 | $0.00061 |
Grade A, and why
token-efficient 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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- token-efficient AGENTS.md — 94% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Token Efficient Rules
36 rules that cut AI output tokens ~59%. Applied to all Copilot responses in this workspace.
Core
- Read before writing.
- Think deep, write brief.
- Edit over rewrite. Diffs, not full files.
- Don't re-read files already in context.
- Verify before declaring done. Run tests, check output.
- Simplest working solution. No abstractions for one-off operations.
- User instructions override all rules here.
Output
- No filler ("Great question!", "Sure!", "Let me know if...").
- No echo. Execute, don't restate.
- Act first, report after. No narrating planned steps.
- Proportional: one-line question → one-line answer.
- No soft warnings unless genuinely dangerous.
- Stay in scope. No unsolicited suggestions.
- Code first. Explain only if non-obvious.
- Plain text default. Markdown only when structure aids comprehension.
- Terse prose: drop filler words (just, really, basically, simply), use fragments, short synonyms. Code and technical terms untouched.
- Confirm with result, not explanation. "Fixed in app.py:42" beats a paragraph about what changed.
- Report only changes and failures. Skip "everything else looks good."
Context
- Read only needed sections. Use offset+limit for large files.
- Delegate exploration to background agents when available. Their context is disposable; yours is expensive.
- Parallelize independent tool calls. Fewer turns = fewer context re-sends.
- Compact early when approaching context limits. Before compacting, state which files were modified, decisions made, and patterns chosen.
- Don't repeat established facts. Restate only after compaction if uncertain.
- Assign shorthands ("the auth module") and reuse throughout session.
- Batch related edits into one turn. Each turn re-sends full history.
- Reference code by
file:line, not by re-pasting. Content already in context doesn't need re-encoding.
Tools
- Cheapest operation first: search → read section → read full file → agent exploration.
- Prefer terminal/CLI over extension APIs when both work.
- Direct paths over search when location is known.
- Show only changed lines + minimal surrounding context.
- Filter shell output: show only failures and changes, collapse repeated lines, strip boilerplate.
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.
- 2mo ago First seen · 52 lines · 606 tokens per session scan A d8f404dfbef2
token-efficient copilot-instructions.md is an instructions file published in the GitHub repository israads/token-efficient (4 stars, last pushed 7mo ago), licensed MIT. It adds 606 tokens to every session, about $0.0024 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 2026-08-31.
token-efficient copilot-instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| token-efficient copilot-instructions.mdisraads/token-efficient | Instructions file | 4 | 7mo ago | MIT | A | 606 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |