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.
curl -O https://raw.githubusercontent.com/jonathan-vella/apex-accelerator/main/.github/instructions/prompt.instructions.mdgit clone --depth 1 https://github.com/jonathan-vella/apex-acceleratorWrote 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/jonathan-vella/apex-accelerator/prompt)<a href="https://agentmods.dev/instructions/jonathan-vella/apex-accelerator/prompt"><img src="https://agentmods.dev/badge/instructions/jonathan-vella/apex-accelerator/prompt.svg" alt="Measured on agentmods" 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 | $0.01175 | $0.01175 |
| Opus 5 | $0.00588 | $0.00588 |
| Sonnet 5 | $0.00235 | $0.00235 |
| Haiku 4.5 | $0.00118 | $0.00118 |
Grade A, and why
apex-accelerator prompt.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.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Prompt Files Guidelines
Instructions for creating effective and maintainable prompt files that guide GitHub Copilot in delivering consistent, high-quality outcomes across any repository.
Scope and Principles
- Target audience: maintainers and contributors authoring reusable prompts.
- Goals: predictable behaviour, clear expectations, minimal permissions, portability.
- Primary references: VS Code documentation on prompt files and organization conventions.
Frontmatter Requirements
Every prompt file should include YAML frontmatter with the following fields:
Required/Recommended Fields
| Field | Required | Description |
|---|---|---|
description |
Recommended | Short description (single sentence, actionable outcome) |
name |
Optional | Name shown after typing / in chat. Defaults to filename |
agent |
Recommended | Agent to use: ask, edit, agent, or custom agent |
model |
Optional | Language model to use. Defaults to currently selected model |
tools |
Optional | List of tool/tool set names available for this prompt |
argument-hint |
Optional | Hint text shown in chat input to guide user interaction |
Guidelines
- Use consistent quoting (single quotes recommended)
- Keep one field per line for readability and version control clarity
- If
toolsare specified and the current agent isaskoredit, the default agent becomesagent - Preserve any additional metadata (
language,tags,visibility, etc.) required by your organization
File Naming and Placement
- Use kebab-case filenames ending with
.prompt.md - Store APEX prompts under
tools/apex-prompts/(workspace-only, never auto-loaded by VS Code Copilot discovery). Other workspaces may use.github/prompts/if their policy permits auto-loading. - Provide a short filename that communicates the action
(e.g.,
generate-readme.prompt.mdrather thanprompt1.prompt.md)
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 · 126 lines · 1,175 tokens per session scan A fe5dbc61f599
apex-accelerator prompt.instructions.md is an instructions file published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed 5d ago), licensed MIT. It adds 1,175 tokens to every session, about $0.0059 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 2026-08-30.
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