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teamxray: Command for GitHub Copilot

.github/prompts/implement.prompt.md

implement is a command for GitHub Copilot from AndreaGriffiths11/teamxray. It costs 6 tokens per session (202 once invoked), scanned A, original, MIT.

A command that carries out an implementation plan one step at a time, while applying project rules and documenting the resulting code.

In plain words
What is it for?
Use it to implement planned software changes step by step, with documentation for files, functions, types, assumptions, and limitations.
Why use it?
It gives a coding agent a structured way to turn a plan into code and reminds it to handle imports, validation, errors, edge cases, and documentation.

Command for GitHub Copilot

Written for GitHub Copilot: a Copilot chat mode or prompt.

This is AndreaGriffiths11/teamxray's own configuration. It tells GitHub Copilot how to work on teamxray 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 teamxray configures →

not rated 19repo 3d ago A scan 6 tokens original MIT
View source ↗ AndreaGriffiths11/teamxray
Reuse

Borrowing it

Nothing to install: this file belongs to AndreaGriffiths11/teamxray. 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/AndreaGriffiths11/teamxray/main/.github/prompts/implement.prompt.md
Clone the repo
git clone --depth 1 https://github.com/AndreaGriffiths11/teamxray

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 implement

README.md
[![agentmods](https://agentmods.dev/badge/commands/andreagriffiths11/teamxray/implement/github.svg)](https://agentmods.dev/commands/andreagriffiths11/teamxray/implement)
Your own site
<a href="https://agentmods.dev/commands/andreagriffiths11/teamxray/implement"><img src="https://agentmods.dev/badge/commands/andreagriffiths11/teamxray/implement/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 implement

Your own site · 80×15
<a href="https://agentmods.dev/commands/andreagriffiths11/teamxray/implement"><img src="https://agentmods.dev/badge/commands/andreagriffiths11/teamxray/implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 6 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 202 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00006 $0.00202
Opus 5.5 $0.00002 $0.00081
Sonnet 5.5 $0.00001 $0.00040
Haiku 4.5 $0.00001 $0.00020

Measured 1mo ago against content hash 94b4361068d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

implement 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/prompts/implement.prompt.md · 22 lines

What it actually says

Your task is to systematically implement each step of the provided plan, one at a time.

The implementation plan is just a suggestion meant to provide a high-level overview of the objective. Use it to guide you, but you do not have to adhere to it strictly. Make sure to follow the given rules as you work along the lines of the plan.

Documentation requirements:

  • File-level documentation explaining the purpose and scope
  • Component/function-level documentation detailing inputs, outputs, and behavior
  • Inline comments explaining complex logic or business rules
  • Type documentation for all interfaces and types
  • Notes about edge cases and error handling
  • Any assumptions or limitations

Guidelines:

  • Implement exactly one step at a time
  • Ensure all code follows the project rules and technical specification
  • Include ALL necessary imports and dependencies
  • Write clean, well-documented code with appropriate error handling
  • Handle edge cases and add input validation where appropriate
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 · 22 lines · 6 tokens per session scan A 94b4361068d2

Subscribe to this mod's changes

implement is a command published in the GitHub repository AndreaGriffiths11/teamxray (19 stars, last pushed 3d ago), licensed MIT. It adds 6 tokens to every session and 202 once invoked, about $0.0000 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 2026-09-10.

PlanningProductivityazure-devopschatgptgithubgithub-modelsmcp-servervscode
Related

implement compared with commands from other repositories

implement next to 6 commands from other repositories
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implementAndreaGriffiths11/teamxrayCommand193d agoMITA6GitHub Copilot
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firmmohitagw15856/pm-claude-skillsCommand1.5kyesterdayMITA24Claude Code