Borrowing it
Nothing to install: this file belongs to Gennadiyev/STS2MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Gennadiyev/STS2MCP/main/AGENTS.mdgit clone --depth 1 https://github.com/Gennadiyev/STS2MCPWrote 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.
[](https://agentmods.dev/instructions/gennadiyev/sts2mcp/agents-md)<a href="https://agentmods.dev/instructions/gennadiyev/sts2mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/gennadiyev/sts2mcp/agents-md/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.
<a href="https://agentmods.dev/instructions/gennadiyev/sts2mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/gennadiyev/sts2mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00820 | $0.00820 |
| Opus 5.5 | $0.00328 | $0.00328 |
| Sonnet 5.5 | $0.00164 | $0.00164 |
| Haiku 4.5 | $0.00082 | $0.00082 |
Grade A, and why
STS2MCP AGENTS.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 2mo 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STS2 MCP — AI Gameplay Guide
MCP Tool Calling Tips
State Polling
- After
combat_end_turn, the state may showis_play_phase: falseorturn: enemy. Callget_game_stateagain to advance to the next player turn. - Sometimes you need to call
get_game_statetwice — once to see enemy turn results, once to see your new hand. - Use
format: "json"during combat for structured data;format: "markdown"for map/event overview.
Card Index Shifting
- CRITICAL: Playing a card removes it from hand and shifts all indices. Play cards from RIGHT to LEFT (highest index first) to keep lower indices stable, or re-check state between plays.
- When targeting, always provide
targetfor single-target cards. Entity IDs are UPPER_SNAKE_CASE with a_0suffix (e.g.KIN_PRIEST_0).
Event & Reward Flow
- Events:
event_choose_option. After choosing, there's often a "Proceed" option at index 0. - Rest sites:
rest_choose_option, thenproceed_to_map. - Rewards: claim from right-to-left (highest index first) to avoid index shifting. Card rewards open a sub-screen; use
rewards_pick_cardorrewards_skip_card.
Potions
use_potion(slot=N)— slot is the potion slot index, not a card index.discard_potion(slot=N)— discard a potion to free up the slot when full.- Potions don't cost energy or count as card plays. Use buff potions BEFORE playing cards.
General Strategy
Core Principles
- HP is a resource, not a score. Take calculated damage to deal more. Don't waste energy on block when enemies aren't attacking.
- Deck quality > deck size. Skip card rewards if nothing synergizes. A lean deck draws key cards more often.
- Front-load damage. Killing enemies faster means less total damage taken.
- Read intents carefully. Sleep/Buff = go all-out offense. Attack = balance block and damage. Debuff = usually no damage, offense turn.
Combat Sequencing (General)
- Play 0-cost utility/setup cards first.
- Play skills before attacks when possible — many mechanics reward this order (e.g. Slow debuff on enemies stacks per card played).
- Play biggest attacks last to benefit from accumulated buffs/debuffs.
- Check enemy HP — if you can kill this turn, skip blocking entirely.
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.
- 2mo ago First seen · 62 lines · 820 tokens per session scan A d7c5b46ee3d3
STS2MCP AGENTS.md is an instructions file published in the GitHub repository Gennadiyev/STS2MCP (536 stars, last pushed 3mo ago), licensed MIT. It adds 820 tokens to every session, about $0.0033 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.
STS2MCP AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| STS2MCP AGENTS.mdGennadiyev/STS2MCP | Instructions file | 536 | 3mo ago | MIT | A | 820 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |