apex-accelerator: Instructions file for GitHub Copilot

.github/instructions/context-optimization.instructions.md

apex-accelerator context-optimization.instructions.md is an instructions file for GitHub Copilot from jonathan-vella/apex-accelerator. It costs 1,535 tokens per session, scanned A, original, MIT.

Rules for keeping GitHub Copilot agent definitions, skills, and instruction files within practical context limits. The context window is the amount of project information an AI agent can use at once.

In plain words
What is it for?
Use them when writing or reviewing agent bodies, descriptions, tool lists, and context-related sections so the files remain valid and efficient.
Why use it?
They help agents receive relevant instructions without unnecessary text and identify limits that repository validation enforces.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is jonathan-vella/apex-accelerator's own configuration. It tells GitHub Copilot how to work on apex-accelerator 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 apex-accelerator configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jonathan-vella/apex-accelerator. 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/jonathan-vella/apex-accelerator/main/.github/instructions/context-optimization.instructions.md
Clone the repo
git clone --depth 1 https://github.com/jonathan-vella/apex-accelerator

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 apex-accelerator context-optimization.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jonathan-vella/apex-accelerator/context-optimization/github.svg)](https://agentmods.dev/instructions/jonathan-vella/apex-accelerator/context-optimization)
Your own site
<a href="https://agentmods.dev/instructions/jonathan-vella/apex-accelerator/context-optimization"><img src="https://agentmods.dev/badge/instructions/jonathan-vella/apex-accelerator/context-optimization/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.

agentmods 80×15 button for apex-accelerator context-optimization.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/jonathan-vella/apex-accelerator/context-optimization"><img src="https://agentmods.dev/badge/instructions/jonathan-vella/apex-accelerator/context-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,535 This file is loaded in full into every session.
When invoked 1,535 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 $0.01535 $0.01535
Opus 5.5 $0.00614 $0.00614
Sonnet 5.5 $0.00307 $0.00307
Haiku 4.5 $0.00153 $0.00153

Measured 6d ago against content hash 44d9d4974fcf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

apex-accelerator context-optimization.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 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.

.github/instructions/context-optimization.instructions.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context Window Optimization Rules

Rules for keeping agent context windows efficient. These apply when creating or modifying agent definitions, skills, and instruction files.

Agent Definition Rules

Two tiers govern agent definitions: hard limits (CI-enforced — a breach fails npm run validate:agents) and soft guidelines (advisory — keep lean, but no validator blocks them).

Hard limits (CI-enforced)

Rule Limit Enforced by
Agent body length ≤ 600 lines tools/scripts/_lib/paths.mjs (MAX_BODY_LINES)
description length ≤ 350 chars (warn ≥ 300) validate-agents.mjs frontmatter check

Soft guidelines (advisory — not CI-enforced)

Rule Target Rationale
Tool list size ≤ 30 tools Schema/context cost varies by runtime; measure rather than assume a multiplier
Agent body length ≤ 350 lines Preserve role contracts and stop rules (hard cap is 600)
Inline template size ≤ 50 lines Move larger templates to skills
Native task scope Bounded inputs/outputs Active agents omit UI handoffs; preserve authorized native task routing
Skill references in body ≤ 5 "Read" lines Progressive load, not bulk load

Instruction File Rules

Rule Limit / Target Enforced?
File size ≤ 150 lines (target) Guideline — split heavy content into a skill references/ file
applyTo: "**" file size ≤ 50 lines Warning only — validate-glob-audit.mjs; wildcard always warns, size adds a note
Broad-markdown file size ≤ 200 lines Warning only — validate-glob-audit.mjs for an exact recognized broad glob
applyTo specificity Narrow globs Guideline — **/*.ts not ** when possible
Avoid applyTo: "**" Exceptional only Loads for every single file match

Read the full file on GitHub · 127 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. 6d ago Changed · +1 lines · +14 tokens per session 44d9d4974fcf
  2. 1mo ago Changed · -48 lines · -427 tokens per session 12ee6754a87d
  3. 1mo ago Changed · +4 lines · -9 tokens per session c6171151cf3a
  4. 1mo ago First seen · 170 lines · 1,957 tokens per session scan A a4bc0e52f0e4

Subscribe to this mod's changes

apex-accelerator context-optimization.instructions.md is an instructions file published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed yesterday), licensed MIT. It adds 1,535 tokens to every session, about $0.0061 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.

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