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Speech-To-Text-With-Databricks: Instructions file for GitHub Copilot

.github/copilot-instructions.md

Speech-To-Text-With-Databricks copilot-instructions.md is an instructions file for GitHub Copilot from alessandro9110/Speech-To-Text-With-Databricks. It costs 142 tokens per session, scanned A, original, MIT.

A set of Copilot instructions for reviewing code in a speech-to-text project. It requires documentation for public code and comments that explain complex decisions, including Spark data-processing steps.

In plain words
What is it for?
It helps review pull requests, check docstrings and comments, and suggest concise examples that fit the code.
Why use it?
It gives reviews a clear standard for readable, maintainable code and points contributors to the exact file and line when a rule is missed.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is alessandro9110/Speech-To-Text-With-Databricks's own configuration. It tells GitHub Copilot how to work on Speech-To-Text-With-Databricks 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 Speech-To-Text-With-Databricks configures →

not rated 4repo 8mo ago A scan 142 tokens original MIT
View source ↗ alessandro9110/Speech-To-Text-With-Databricks
Reuse

Borrowing it

Nothing to install: this file belongs to alessandro9110/Speech-To-Text-With-Databricks. 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/alessandro9110/Speech-To-Text-With-Databricks/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/alessandro9110/Speech-To-Text-With-Databricks

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 Speech-To-Text-With-Databricks copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/alessandro9110/speech-to-text-with-databricks/copilot-instructions/github.svg)](https://agentmods.dev/instructions/alessandro9110/speech-to-text-with-databricks/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/alessandro9110/speech-to-text-with-databricks/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/alessandro9110/speech-to-text-with-databricks/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.

agentmods 80×15 button for Speech-To-Text-With-Databricks copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/alessandro9110/speech-to-text-with-databricks/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/alessandro9110/speech-to-text-with-databricks/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 142 This file is loaded in full into every session.
When invoked 142 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 $0.00142 $0.00142
Opus 5.5 $0.00057 $0.00057
Sonnet 5.5 $0.00028 $0.00028
Haiku 4.5 $0.00014 $0.00014

Measured 1mo ago against content hash f55f50754f70, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Speech-To-Text-With-Databricks 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 1mo 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/copilot-instructions.md · 15 lines

What it actually says

Copilot Instructions

Code review focus

When reviewing PRs, enforce documentation quality.

Documentation rules (required)

  • Every new public function/method/class must have a docstring.
  • Non-trivial logic must have comments explaining the "why", not the "what".
  • Spark transformations: add a short comment for complex joins, window specs, and non-obvious filters.
  • If a code block is hard to understand in <10 seconds, request a comment or refactor.

What to do in review

  • If a rule is violated, request changes and point to the exact file/line.
  • Suggest an example docstring/comment that matches the code.
  • Prefer concise English comments.
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. 1mo ago First seen · 15 lines · 142 tokens per session scan A f55f50754f70

Subscribe to this mod's changes

Speech-To-Text-With-Databricks copilot-instructions.md is an instructions file published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 142 tokens to every session, about $0.0006 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 2026-10-02.

Code reviewWriting and docsdatabricksdelta-lakegenerative-ailakehousemachinespeech-to-text
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