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.
npx agentmods add instructions/boscoh/pyball/copilot-instructionsgit clone --depth 1 https://github.com/boscoh/pyballWhat 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.
| Model | Per session | Once 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 |
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.
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.dbto 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
--jsonflag to all commands for programmatic use - Update docs when changing behavior
Git Workflow
- Always commit
.beads/issues.jsonlwith code changes - Run
bd syncat 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
- Check ready work:
bd ready --json - Claim task:
bd update <id> --status in_progress - Work on it: Implement, test, document
- Discover new work?
bd create "Found bug" -p 1 --deps discovered-from:<parent-id> --json - Complete:
bd close <id> --reason "Done" --json - Sync:
bd sync(flushes changes to git immediately)
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.
- 2d ago First seen · 134 lines · 1,131 tokens per session scan A cd36387d2082
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.
Other instructions, from other repositories
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AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.