code-copilot-team: Instructions file for GitHub Copilot

adapters/github-copilot/.github/instructions/token-efficiency.instructions.md

code-copilot-team token-efficiency.instructions.md is an instructions file for GitHub Copilot from gosha70/code-copilot-team. It costs 950 tokens per session, scanned A, original, MIT.

Guidance for keeping an agent's working context small and its responses focused, including how to reference files and return code changes.

In plain words
What is it for?
Use it to manage large project context, consult architecture files, structure concise outputs, return diffs, and set task budgets for supported API runs.
Why use it?
It reduces repeated information and wasted context during long coding tasks.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file. Also seen: mentions Claude Code.

This is gosha70/code-copilot-team's own configuration. It tells GitHub Copilot how to work on code-copilot-team itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything code-copilot-team configures →

Reuse

Borrowing it

Nothing to install: this file belongs to gosha70/code-copilot-team. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/gosha70/code-copilot-team/master/adapters/github-copilot/.github/instructions/token-efficiency.instructions.md
Clone the repo
git clone --depth 1 https://github.com/gosha70/code-copilot-team

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for code-copilot-team token-efficiency.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/gosha70/code-copilot-team/token-efficiency.svg)](https://agentmods.dev/instructions/gosha70/code-copilot-team/token-efficiency)
Your own site
<a href="https://agentmods.dev/instructions/gosha70/code-copilot-team/token-efficiency"><img src="https://agentmods.dev/badge/instructions/gosha70/code-copilot-team/token-efficiency.svg" alt="Measured on agentmods" height="20"></a>
Per session 950 This file is loaded in full into every session.
When invoked 950 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00950 $0.00950
Opus 5 $0.00475 $0.00475
Sonnet 5 $0.00190 $0.00190
Haiku 4.5 $0.00095 $0.00095

Measured 4d ago against content hash e518e9c33c93, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

code-copilot-team token-efficiency.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 4d 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.

adapters/github-copilot/.github/instructions/token-efficiency.instructions.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Token Efficiency

Practices to minimise token waste across all sessions.

Context Management

  • Do not re-send large context blocks. Reference existing files by path instead.
  • Use /compact when context window grows large.
  • Load only relevant file sections, not entire large files.
  • One task per session where practical. Flush context between unrelated tasks.

Output Format

  • Return diffs, not full file rewrites.
  • Keep explanations concise — bullets over paragraphs.
  • Do not repeat information the user already knows.
  • Do not generate boilerplate unless asked.

File References

  • When prior context is needed, read doc_internal/CONTEXT.md (if it exists in the project) rather than re-generating from scratch.
  • For architecture context, reference doc_internal/ARCHITECTURE.md rather than re-explaining the system.

Task Budgets (Opus 4.7, public beta — API only)

An advisory token budget for the full agentic loop, not a single request. Currently public beta on Opus 4.7 via the API; not available in Claude Code or Cowork at launch.

  • Set via output_config.task_budget: {type: "tokens", total: N} in the API request.
  • Minimum total: 20,000 tokens.
  • The model sees a running countdown of the budget and self-regulates: prioritizes higher-value work first, finishes gracefully as the budget approaches zero rather than getting cut off mid-thought.
  • Advisory, not enforced. max_tokens is still the hard cap per individual request. task_budget shapes behavior across the loop; it does not stop a request from completing.

How it composes with effort:

  • effort controls depth per step (how hard Claude thinks about each turn).
  • task_budget controls breadth across the loop (how much total work Claude attempts before wrapping up).
  • Use both together for long agentic runs where you care about end-to-end token cost.

/btw — Side Questions Without Polluting Context

Opus 4.7 introduces /btw <question> for quick sidebar questions that never enter conversation history.

Read the full file on GitHub · 76 lines

Changes

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.

  1. 4d ago First seen · 76 lines · 950 tokens per session scan A e518e9c33c93

Subscribe to this mod's changes

code-copilot-team token-efficiency.instructions.md is an instructions file published in the GitHub repository gosha70/code-copilot-team (6 stars, last pushed today), licensed MIT. It adds 950 tokens to every session, about $0.0047 per session on Opus 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 2026-09-03.

Related

Other instructions, from other repositories

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens