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/microsoft/prompty/copilot-instructionsgit clone --depth 1 https://github.com/microsoft/promptyWhat 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 | $0.14642 | $0.14642 |
| Opus 5 | $0.07321 | $0.07321 |
| Sonnet 5 | $0.02928 | $0.02928 |
| Haiku 4.5 | $0.01464 | $0.01464 |
Grade A, and why
prompty 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 — 1,450 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompty v2 — Complete Rebuild Plan
Overview
Prompty is being rebuilt from the ground up. The type system that originated in Prompty's TypeSpec specification is now owned in this repo and emitted through Typra. Prompty v2 uses the generated Prompty model packages as the canonical, lower-level type layer.
Core principle: Prompty is a markdown file format (.prompty) for LLM prompts. The frontmatter uses Prompty's Typra-generated prompt model. The markdown body becomes instructions. The runtime loads, renders, parses, and executes prompts.
What Prompty Uses from the Typra-Generated Model
Only the prompt runtime subset — not every schema contract:
| Model Type | Prompty Uses |
|---|---|
Prompty |
Yes — the loaded .prompty file becomes this |
Model |
Yes — model configuration |
Connection (all subtypes) |
Yes — auth/endpoint config |
ModelOptions |
Yes — temperature, maxOutputTokens, etc. |
Template / FormatConfig / ParserConfig |
Yes — template engine config |
Property |
Yes — inputs/outputs |
FunctionTool |
Yes — local function calling |
McpTool |
Yes — MCP server integration |
OpenApiTool |
Yes — API-based tools |
CustomTool |
Yes — wildcard * catch-all for unknown tool kinds |
Workflow |
No |
ContainerAgent |
No |
AgentManifest |
No |
WebSearchTool / FileSearchTool / CodeInterpreterTool |
No |
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 · 1,450 lines · 14,642 tokens per session scan A 056659584066
prompty copilot-instructions.md is an instructions file published in the GitHub repository microsoft/prompty (1,254 stars, last pushed 4d ago), licensed MIT. It adds 14,642 tokens to every session, about $0.0732 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
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Instructions for katanemo/plano, covering claude.md, build & test commands, rust — wasm plugins (must target wasm32-wasip1), rust — brightstaff binary (native target) and rust — tests, format, lint.
gateway CLAUDE.md
Instructions for Portkey-AI/gateway, covering claude.md, project overview, development commands, core development and testing.
Guardrails AGENTS.md
AGENTS.md instructions for NVIDIA-NeMo/Guardrails, covering agents.md, agent skills, quick rules, repository map and setup.
Guardrails CLAUDE.md
Claude Code instructions for NVIDIA-NeMo/Guardrails, a project described as: NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Agent-Action-Guard AGENTS.md
AGENTS.md instructions for Pro-GenAI/Agent-Action-Guard, covering project: agent action guard, why it matters, quick usage (for agents), manual check and javascript runtime package.
Agent-Action-Guard CLAUDE.md
Claude Code instructions for Pro-GenAI/Agent-Action-Guard, a project described as: 🛡️ Safe AI Agents through Action Classifier.