cities2-knowledge

cities2-knowledge is a skill for Codex from mayor-modder/Cities2-MCP. It costs 29 tokens per session (1,476 once invoked), scanned A, original, MIT.

A reference tool for answering questions about Cities: Skylines II, a city-building game. It covers gameplay systems, city management, updates, and known problems using game files, community wiki material, and research summaries.

In plain words
What is it for?
It helps explain topics such as traffic, zoning, education, pollution, health, housing demand, gameplay changes, and known issues.
Why use it?
It provides focused information when the game's mechanics, recent changes, or reported issues are difficult to recall or verify from general knowledge.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It helps explain topics such as traffic, zoning, education, pollution, health, housing demand, gameplay changes, and known issues.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mayor-modder/cities2-mcp/cities2-knowledge
Install

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.

Any agent
npx skills add mayor-modder/Cities2-MCP --skill cities2-knowledge
Clone the repo
git clone --depth 1 https://github.com/mayor-modder/Cities2-MCP

Made for: Codex.

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 cities2-knowledge

README.md
[![agentmods](https://agentmods.dev/badge/skills/mayor-modder/cities2-mcp/cities2-knowledge/github.svg)](https://agentmods.dev/skills/mayor-modder/cities2-mcp/cities2-knowledge)
Your own site
<a href="https://agentmods.dev/skills/mayor-modder/cities2-mcp/cities2-knowledge"><img src="https://agentmods.dev/badge/skills/mayor-modder/cities2-mcp/cities2-knowledge/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 cities2-knowledge

Your own site · 80×15
<a href="https://agentmods.dev/skills/mayor-modder/cities2-mcp/cities2-knowledge"><img src="https://agentmods.dev/badge/skills/mayor-modder/cities2-mcp/cities2-knowledge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,476 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00029 $0.01476
Opus 5.5 $0.00012 $0.00590
Sonnet 5.5 $0.00006 $0.00295
Haiku 4.5 $0.00003 $0.00148

Measured 1mo ago against content hash 6ab575236339, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cities2-knowledge 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.

plugins/cities2-mcp/skills/cities2-knowledge/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cities2 Knowledge

Use this skill when answering Cities: Skylines II gameplay questions with Cities2-MCP. The goal is to retrieve focused evidence from both available sources and synthesize a normal answer, not to show raw search results.

Trigger this skill for plain questions like "How do I grow office demand?", "What changed in the latest patch?", "Did traffic change?", "What makes citizens healthier?", "Why is housing demand low?", or "How does zoning/pollution/education/transit work?", even when the user does not mention this plugin, wiki, encyclopedia, patch notes, or sources.

Source roles

  • Game encyclopedia: More authoritative for current in-game wording, broad current mechanics, and terminology because it is read from the user's installed game files.
  • Wiki corpus: Usually better for player advice, tables, examples, patch history, guide context, and fuller explanations.
  • Research corpus: cities2-research contains curated summaries of talks, interviews, and similar sources. It adds design rationale and historical context, but it is time-bounded evidence rather than confirmation of current gameplay or APIs. Inspect and retain each research result's published_at date.
  • Conflict handling: If sources disagree, say so plainly. Prefer the game encyclopedia for current in-game terminology/mechanics, unless the wiki result is clearly a newer patch-specific note.

Workflow

  1. Call source_status() first.
  2. Extract 4-10 keyword terms from the user's question. Do not send the whole natural-language question as the primary query.
  3. Search the bundled wiki and research corpora with search(query, limit=5). Use query_reference(query, limit=5) if page-level routing would help. Inspect dataset on every result before deciding its source role.
  4. Search the game encyclopedia with search_encyclopedia(query, limit=5) when source_status() reports it is available.
  5. Fetch fuller evidence:
    • Use get_page(page_id) for the best bundled page or research report when snippets are not enough.
    • Use get_encyclopedia_entry(entry_id) for the best encyclopedia entries.
  6. Keep track of source identity and timing:
    • For cities2-docs, keep the wiki page title and url from get_page or search results.
    • For cities2-research, keep the report title, url, dataset, and published_at. State the publication date when using the result and do not present its claim as current unless a current source independently confirms it.
    • Game encyclopedia entry titles from get_encyclopedia_entry.
  7. Answer from the retrieved material. Explain what to do and why, with short source labels such as wiki, research published YYYY-MM-DD, and game encyclopedia when useful.

Read the full file on GitHub · 86 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 86 lines · 29 tokens per session scan A 6ab575236339

Subscribe to this mod's changes

cities2-knowledge is a skill published in the GitHub repository mayor-modder/Cities2-MCP (10 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 1,476 once invoked, about $0.0001 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 2026-08-31.

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