pyball copilot-instructions.md

Project instructions for pyball, covering Beads, a Git-backed issue tracker for managing development tasks, plus its Go, SQLite, testing, and workflow rules.

In plain words
What is it for?
Use them when changing Beads commands, storage, tests, documentation, JSON output, linting, or the Python MCP server integration.
Why use it?
They tell the coding agent how this repository tracks work and how to avoid mixing test data with the real issue database.

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/boscoh/pyball/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/boscoh/pyball

Made for: GitHub Copilot.

Per session 1,131 This file is loaded in full into every session.
When invoked 1,131 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 $0.01131 $0.01131
Opus 5 $0.00566 $0.00566
Sonnet 5 $0.00226 $0.00226
Haiku 4.5 $0.00113 $0.00113

Measured 2d ago against content hash cd36387d2082, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pyball 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 2d 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 · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Copilot Instructions for Beads

Project Overview

beads (command: bd) is a Git-backed issue tracker designed for AI-supervised coding workflows. We dogfood our own tool for all task tracking.

Key Features:

  • Dependency-aware issue tracking
  • Auto-sync with Git via JSONL
  • AI-optimized CLI with JSON output
  • Built-in daemon for background operations
  • MCP server integration for Claude and other AI assistants

Tech Stack

  • Language: Go 1.21+
  • Storage: SQLite (internal/storage/sqlite/)
  • CLI Framework: Cobra
  • Testing: Go standard testing + table-driven tests
  • CI/CD: GitHub Actions
  • MCP Server: Python (integrations/beads-mcp/)

Coding Guidelines

Testing

  • Always write tests for new features
  • Use BEADS_DB=/tmp/test.db to avoid polluting production database
  • Run go test -short ./... before committing
  • Never create test issues in production DB (use temporary DB)

Code Style

  • Run golangci-lint run ./... before committing
  • Follow existing patterns in cmd/bd/ for new commands
  • Add --json flag to all commands for programmatic use
  • Update docs when changing behavior

Git Workflow

  • Always commit .beads/issues.jsonl with code changes
  • Run bd sync at end of work sessions
  • Install git hooks: bd hooks install (ensures DB ↔ JSONL consistency)

Issue Tracking with bd

CRITICAL: This project uses bd for ALL task tracking. Do NOT create markdown TODO lists.

Essential Commands

# Find work
bd ready --json                    # Unblocked issues
bd stale --days 30 --json          # Forgotten issues

# Create and manage
bd create "Title" -t bug|feature|task -p 0-4 --json
bd update <id> --status in_progress --json
bd close <id> --reason "Done" --json

# Search
bd list --status open --priority 1 --json
bd show <id> --json

# Sync (CRITICAL at end of session!)
bd sync  # Force immediate export/commit/push

Workflow

  1. Check ready work: bd ready --json
  2. Claim task: bd update <id> --status in_progress
  3. Work on it: Implement, test, document
  4. Discover new work? bd create "Found bug" -p 1 --deps discovered-from:<parent-id> --json
  5. Complete: bd close <id> --reason "Done" --json
  6. Sync: bd sync (flushes changes to git immediately)

Read the full file on GitHub · 134 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. 2d ago First seen · 134 lines · 1,131 tokens per session scan A cd36387d2082

Subscribe to this mod's changes

pyball copilot-instructions.md is an instructions file published in the GitHub repository boscoh/pyball (10 stars, last pushed 9mo ago), licensed MIT. It adds 1,131 tokens to every session, about $0.0057 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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