balancelab copilot-instructions.md

balancelab copilot-instructions.md is an instructions file for GitHub Copilot from sandeep-alluru/balancelab. It costs 402 tokens per session, scanned A, original, MIT.

A set of coding rules and project notes for balancelab, a tool that detects profitable trade loops in game economies.

In plain words
What is it for?
Use it when adding features or output formats, changing the Python library, CLI, API, MCP server, storage, reports, or tests.
Why use it?
It gives contributors the project’s module map, fixed data rules, coding standards, and testing expectations in one place.

Instructions file for GitHub Copilot

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/sandeep-alluru/balancelab/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/sandeep-alluru/balancelab

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 balancelab copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/sandeep-alluru/balancelab/copilot-instructions.svg)](https://agentmods.dev/instructions/sandeep-alluru/balancelab/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/sandeep-alluru/balancelab/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/sandeep-alluru/balancelab/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 402 This file is loaded in full into every session.
When invoked 402 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00402 $0.00402
Opus 5 $0.00201 $0.00201
Sonnet 5 $0.00080 $0.00080
Haiku 4.5 $0.00040 $0.00040

Measured 4d ago against content hash 1fc7ee31ec8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

balancelab 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 4d 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 · 41 lines

What it actually says

GitHub Copilot Instructions — balancelab

balancelab: Adversarial game economy red-team — detect arbitrage exploits via graph-based analysis.

Module map

src/balancelab/
├── economy.py     # EconomyRule, EconomyGraph, ExploitPath, ExploitReport, ExploitFinder
├── store.py       # EconomyStore — SQLite persistence for rules and reports
├── report.py      # print_report(), to_json(), to_markdown() formatters
├── cli.py         # Click CLI: add, scan, report, log, status
├── api.py         # FastAPI server: /rule, /rules, /scan, /reports, /health
└── mcp_server.py  # MCP server: add_rule, scan_economy, list_reports

Key invariants

  • EconomyRule.id = SHA-256[:16] of source_item|target_item|source_qty|target_qty
  • ExploitFinder uses weight = -log(exchange_rate); negative cycle = positive gain
  • No print() in library code — use rich.console.Console

Code style

  • Python 3.10+, type-annotated, mypy strict mode
  • Ruff lint rules: E F I N UP S B RUF; ignore S101 in tests
  • All public classes and functions must have docstrings
  • Tests use pytest; CLI tests use click.testing.CliRunner

Adding a new output format

  1. Add to_<format>(result) -> str in report.py
  2. Add format name to --format choices in cli.py
  3. Add tests

Adding a new integration

  1. Create src/balancelab/<integration>.py
  2. Export from __init__.py, add to __all__ alphabetically
  3. Add tests
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. 4d ago First seen · 41 lines · 402 tokens per session scan A 1fc7ee31ec8a

Subscribe to this mod's changes

balancelab copilot-instructions.md is an instructions file published in the GitHub repository sandeep-alluru/balancelab (0 stars, last pushed 18d ago), licensed MIT. It adds 402 tokens to every session, about $0.0020 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 2026-08-31.

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