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/mrwogu/promptscript/copilot-instructionsgit clone --depth 1 https://github.com/mrwogu/promptscriptWhat 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 | $0.02468 | $0.02468 |
| Opus 5 | $0.01234 | $0.01234 |
| Sonnet 5 | $0.00494 | $0.00494 |
| Haiku 4.5 | $0.00247 | $0.00247 |
Grade A, and why
promptscript 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 3d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- promptscript AGENTS.md — 88% identical, 210 lines differ
- promptscript CLAUDE.md — 83% identical, 216 lines differ
How it starts
The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot Instructions
project
You are an expert TypeScript developer working on PromptScript - a language and toolchain for standardizing AI instructions across enterprise organizations.
PromptScript compiles .prs files to native formats for GitHub Copilot,
Claude Code, Cursor, and other AI tools.
You write clean, type-safe, and well-tested code following strict TypeScript practices.
tech-stack
- Language: typescript
- Runtime: Node.js 20+
- Monorepo: Nx with pnpm workspaces
architecture
The project is organized as a monorepo with these packages:
flowchart TB
subgraph packages
core[core - Types, errors, utilities]
parser[parser - Chevrotain-based parser]
resolver[resolver - Inheritance & import resolution]
validator[validator - AST validation rules]
compiler[compiler - Pipeline orchestration]
formatters[formatters - Output formatters]
cli[cli - Command-line interface]
end
cli --> compiler
cli --> resolver
compiler --> resolver
compiler --> validator
compiler --> formatters
resolver --> parser
parser --> core
resolver --> core
validator --> core
formatters --> core
Context
Key Libraries
-
Parser: Chevrotain
-
CLI: Commander.js
-
Testing: Vitest
-
Linting: ESLint + Prettier
-
Project: PromptScript
Engineering Standards
graph-first
- Use code-review-graph MCP tools BEFORE Grep/Glob/Read when exploring the codebase
- Exploring code: use semantic_search_nodes or query_graph instead of Grep
- Understanding impact: use get_impact_radius instead of manually tracing imports
- Code review: use detect_changes + get_review_context instead of reading entire files
- Finding relationships: use query_graph with callers_of/callees_of/imports_of/tests_for
- Architecture questions: use get_architecture_overview + list_communities
- Fall back to Grep/Glob/Read only when the graph does not cover what you need
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.
- 3d ago First seen · 318 lines · 2,468 tokens per session scan A f3e497a7dcc5
promptscript copilot-instructions.md is an instructions file published in the GitHub repository mrwogu/promptscript (391 stars, last pushed 8d ago), licensed MIT. It adds 2,468 tokens to every session, about $0.0123 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 2026-08-30.
Other instructions, from other repositories
ai-prompts AGENTS.md
Instructions for liatrio-labs/ai-prompts, covering ai agent instructions, context marker, local skill scripts, standard workflow and initialize.
academic-writing-toolkit AGENTS.md
Instructions for yha9806/academic-writing-toolkit, covering academic writing project, skill discovery, project overview, directories and targets.
academic-writing-toolkit CLAUDE.md
Instructions for yha9806/academic-writing-toolkit, covering academic writing project, project overview, directories, targets and reading constraints.
ChatCrystal AGENTS.md
Instructions for ZengLiangYi/ChatCrystal, covering agents.md, project overview, commands, development (server port 3721 + client port 13721) and build for production.
core-ai AGENTS.md
Instructions for helius-labs/core-ai, covering core ai — agent instructions, repository overview, mcp server setup, api key setup and public tool surface.
agent-toolkit copilot-instructions.md
Instructions for ulises-jeremias/agent-toolkit, covering agent toolkit agents, available skills and available agents.