sts2-llm: Instructions file for GitHub Copilot

deprecated/3/ai-play-slts2-2/.github/instructions/runtime.instructions.md

sts2-llm runtime.instructions.md is an instructions file for GitHub Copilot from ttxttx1111/sts2-llm. It costs 194 tokens per session, scanned A, original, MIT.

Runtime instructions for a Slay the Spire 2 player-agent project. They define how the player makes decisions, how the runtime saves and supervises them, and how the reviewer learns from evidence.

In plain words
What is it for?
Use them when changing live runtime code, handling route, shop, rest, event, or reward decisions, reviewing event and summary evidence, and dealing with archived runtime files.
Why use it?
They keep tactical decisions in the player component, preserve an auditable record of events and lessons, and prevent old runtime data from being mistaken for active data.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is ttxttx1111/sts2-llm's own configuration. It tells GitHub Copilot how to work on sts2-llm itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything sts2-llm configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ttxttx1111/sts2-llm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ttxttx1111/sts2-llm/main/deprecated/3/ai-play-slts2-2/.github/instructions/runtime.instructions.md
Clone the repo
git clone --depth 1 https://github.com/ttxttx1111/sts2-llm

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 sts2-llm runtime.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ttxttx1111/sts2-llm/runtime/github.svg)](https://agentmods.dev/instructions/ttxttx1111/sts2-llm/runtime)
Your own site
<a href="https://agentmods.dev/instructions/ttxttx1111/sts2-llm/runtime"><img src="https://agentmods.dev/badge/instructions/ttxttx1111/sts2-llm/runtime/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for sts2-llm runtime.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/ttxttx1111/sts2-llm/runtime"><img src="https://agentmods.dev/badge/instructions/ttxttx1111/sts2-llm/runtime.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 194 This file is loaded in full into every session.
When invoked 194 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00194 $0.00194
Opus 5.5 $0.00078 $0.00078
Sonnet 5.5 $0.00039 $0.00039
Haiku 4.5 $0.00019 $0.00019

Measured 1mo ago against content hash a2e747083ada, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sts2-llm runtime.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 1mo 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.

deprecated/3/ai-play-slts2-2/.github/instructions/runtime.instructions.md · 12 lines

What it actually says

runtime 相关指令

  • 保持架构分工:player 决策,runtime 持久化与监督,reviewer 基于证据学习。
  • 不要为 map_route、shop、rest_site、event、rewards、card_reward、boss_relic 重新添加浅层局部 heuristics,除非只是非常窄的机械性 fallback。
  • 修改 live runtime 代码时,优先让 standalone player 作为执行引擎,而不是在 coordinator 里重复实现战术逻辑。
  • 保持证据链可审计:先 event,再 summary,再 lesson。
  • 如果碰到归档的 legacy runtime JSON,明确把它们当历史材料,不要误接回活动主路径。
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. 1mo ago First seen · 12 lines · 194 tokens per session scan A a2e747083ada

Subscribe to this mod's changes

sts2-llm runtime.instructions.md is an instructions file published in the GitHub repository ttxttx1111/sts2-llm (41 stars, last pushed 3mo ago), licensed MIT. It adds 194 tokens to every session, about $0.0008 per session on Opus 5.5. 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.

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