LLM-TradeBot: Instructions file for GitHub Copilot

.github/copilot-instructions.md

LLM-TradeBot copilot-instructions.md is an instructions file for GitHub Copilot from EthanAlgoX/LLM-TradeBot. It costs 809 tokens per session, scanned A, original, MIT.

Repository instructions for LLM-TradeBot, a trading-related software project with separate backend, web and desktop areas. They define which folders own which work and set rules for checking the latest code before pull requests.

In plain words
What is it for?
Changing backend, web or desktop code, preparing pull requests or issue analysis, and following the project's validation and asset-governance rules.
Why use it?
They reduce accidental changes in the wrong part of the repository and help reviews use a current code baseline. They also prevent commits, tags or pushes without explicit approval.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions AGENTS.md.

This is EthanAlgoX/LLM-TradeBot's own configuration. It tells GitHub Copilot how to work on LLM-TradeBot 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 LLM-TradeBot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to EthanAlgoX/LLM-TradeBot. 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/EthanAlgoX/LLM-TradeBot/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/EthanAlgoX/LLM-TradeBot

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 LLM-TradeBot copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ethanalgox/llm-tradebot/copilot-instructions/github.svg)](https://agentmods.dev/instructions/ethanalgox/llm-tradebot/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/ethanalgox/llm-tradebot/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ethanalgox/llm-tradebot/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 LLM-TradeBot copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/ethanalgox/llm-tradebot/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ethanalgox/llm-tradebot/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 809 This file is loaded in full into every session.
When invoked 809 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 $0.00809 $0.00809
Opus 5.5 $0.00324 $0.00324
Sonnet 5.5 $0.00162 $0.00162
Haiku 4.5 $0.00081 $0.00081

Measured 2mo ago against content hash d0f227627f8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

LLM-TradeBot 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 2mo 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 · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Instructions

Canonical source: AGENTS.md.

If any instruction in this file conflicts with AGENTS.md, follow AGENTS.md.

Core Rules

  • Respect directory boundaries:
    • Backend: src/, data_provider/, api/, bot/
    • Web: apps/dsa-web/
    • Desktop: apps/dsa-desktop/
    • Deployment/workflows: scripts/, .github/workflows/, docker/
  • Do not run git commit, git tag, or git push without explicit user confirmation.
  • Before creating/updating PRs, PR review, or issue analysis, refresh the latest code baseline with git fetch --all --prune; if the worktree is clean and the current branch can fast-forward, run git pull --ff-only. If local changes, conflicts, missing upstream, or non-fast-forward history make that unsafe, do not stash/reset/overwrite local state; analyze against fetched remote refs or record the baseline gap before proceeding.
  • PR titles should use <type>: <change summary> such as fix: 修复大盘分析历史记录丢失; use fix/feat/refactor/docs/chore/test/ci where possible, and avoid [codex], codex, autocode, copilot, or other tool/agent source prefixes. Treat this as process guidance and do not use title format mismatches as a hard review blocker.
  • Do not hardcode secrets, accounts, ports, model names, absolute environment-specific paths, or environment-specific branches.
  • Reuse existing modules, configuration entrypoints, scripts, and tests instead of adding parallel implementations.
  • For user-visible behavior changes, CLI/API changes, deployment changes, notification changes, or report-structure changes, update the relevant docs and docs/CHANGELOG.md.
  • In docs/CHANGELOG.md, the [Unreleased] section uses a flat format: one line per entry formatted as - [type] description, where type is one of 新功能/改进/修复/文档/测试/chore. Do not add ### category headers inside [Unreleased] to minimize merge conflicts in concurrent PRs. A maintainer will reorganize into the full categorized format at release time.
  • Use README.md only for project positioning, high-level capabilities, quick start, main entrypoints, and sponsorship/cooperation information; avoid updating README unless the change is homepage-level.
  • Put detailed module behavior, page interaction, topic configuration, troubleshooting, field contracts, implementation semantics, and edge cases in the appropriate docs/*.md file instead of README.
  • When config semantics change, sync .env.example and assess impact on local runs, Docker, GitHub Actions, API, Web, and Desktop.

Read the full file on GitHub · 39 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. 2mo ago First seen · 39 lines · 809 tokens per session scan A d0f227627f8b

Subscribe to this mod's changes

LLM-TradeBot copilot-instructions.md is an instructions file published in the GitHub repository EthanAlgoX/LLM-TradeBot (316 stars, last pushed 1mo ago), licensed MIT. It adds 809 tokens to every session, about $0.0032 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.

Related

Other instructions, from other repositories

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 · 9,715 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 · 7,461 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, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,262 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 · 4,680 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,750 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 4,261 tokens