base-building-trap-defense-design-agent-skill: Instructions file for Claude Code

CLAUDE.md

base-building-trap-defense-design-agent-skill CLAUDE.md is an instructions file for Claude Code from dungnotnull/base-building-trap-defense-design-agent-skill. It costs 1,910 tokens per session, scanned A, original, MIT.

A structured workflow for designing traps and defensive systems in base-building games. It uses game-design analysis to study layouts, chokepoints, trap combinations, coverage, cost, and counterplay.

In plain words
What is it for?
Use it to design base layouts, defensive layers, chokepoints, trap chains, and balanced systems for player-versus-player or other base-building scenarios.
Why use it?
It helps turn a defensive-building problem into a documented plan that considers both effectiveness and how opponents can respond.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

This is dungnotnull/base-building-trap-defense-design-agent-skill's own configuration. It tells Claude Code how to work on base-building-trap-defense-design-agent-skill 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 base-building-trap-defense-design-agent-skill configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dungnotnull/base-building-trap-defense-design-agent-skill. 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/dungnotnull/base-building-trap-defense-design-agent-skill/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/dungnotnull/base-building-trap-defense-design-agent-skill

Made for: Claude Code.

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 base-building-trap-defense-design-agent-skill CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/dungnotnull/base-building-trap-defense-design-agent-skill/claude-md/github.svg)](https://agentmods.dev/instructions/dungnotnull/base-building-trap-defense-design-agent-skill/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/dungnotnull/base-building-trap-defense-design-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/base-building-trap-defense-design-agent-skill/claude-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.

agentmods 80×15 button for base-building-trap-defense-design-agent-skill CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/dungnotnull/base-building-trap-defense-design-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/base-building-trap-defense-design-agent-skill/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,910 This file is loaded in full into every session.
When invoked 1,910 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 $0.01910 $0.01910
Opus 5.5 $0.00764 $0.00764
Sonnet 5.5 $0.00382 $0.00382
Haiku 4.5 $0.00191 $0.00191

Measured 2mo ago against content hash b33199a1bcc6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

base-building-trap-defense-design-agent-skill CLAUDE.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.

CLAUDE.md · 171 lines

How it starts

The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — Skill 250: base-building-trap-defense-design

Skill Identity

  • Skill Name: base-building-trap-defense-design
  • Tagline: Trap & Defense System Design for Base-Building Games — Base-Building Game Defense & Trap System Design analysis & decision-support harness.
  • Current Phase: Production Ready Enhanced (Phase 0–5 complete + Enhancement Phase complete)
  • Version: 2.1.0
  • Folder: D:\972026\250-base-building-trap-defense-design\

Problem This Skill Solves

This skill provides a structured, evidence-backed analytical workflow for Base-Building Game Defense & Trap System Design. It gathers authoritative real-time and reference data, applies recognized domain methods (defense-in- depth layering, chokepoint funneling, trap-synergy chains, cost-vs-coverage efficiency frontier, PvP counter-play balance), cross-references academic research, and delivers actionable outputs that are fully evidenced, risk/limitation-disclosed, and traceable to authoritative sources — continuously self-improving through an automated knowledge crawl pipeline.


Harness Flow Summary

/base-building-trap-defense-design invoked
|
+-- Pre-Flight: language detection (vi/en)
+-- Step 1: sub-gather-requirements   -> normalize object/game/mode/threats/resources
+-- Step 2: sub-evidence-collector    -> fetch live trap/structure stats + patch notes
+-- Step 3: sub-core-analysis         -> L0-L5 layers, chokepoints, trap logic, cost/coverage, counter-play, metrics
+-- Step 4: sub-knowledge-updater     -> Tier-labeled citations + crawl-gap flags
+-- Step 5: sub-advisor               -> risk-disclosed verdict + evidence chain + remediation
\-- Step 6: main (quality gate)       -> verify U1-U6 + G1-G4, auto-fix, deliver

Context is passed between steps via a typed Context Envelope (see skills/main.md → Context Management) so no evidence, metric, or constraint is lost across the pipeline.


Sub-Skills

| skills/sub-gather-requirements.md | Clarify/normalize object, game, game-mode, threats, resources, timeframe, audience, language before any data fetching. | | skills/sub-evidence-collector.md | Fetch authoritative real-time and reference data: trap/structure stats, wikis, patch notes, recent meta; sets degradation level. | | skills/sub-core-analysis.md | Design layered defense (L0-L5), chokepoints, trap synergy/trigger logic, cost-vs-coverage frontier, PvP counter-play, metrics. | | skills/sub-knowledge-updater.md | Query SECOND-KNOWLEDGE-BRAIN.md; surface Tier-labeled citations; flag crawl gaps. | | skills/sub-advisor.md | Synthesize a risk-disclosed verdict (Strong Defense / Conditional / Easily Raidable / Inconclusive) with evidence chain and remediation. |

Read the full file on GitHub · 171 lines

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. 2mo ago First seen · 171 lines · 1,910 tokens per session scan A b33199a1bcc6

Subscribe to this mod's changes

base-building-trap-defense-design-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/base-building-trap-defense-design-agent-skill (6 stars, last pushed 3mo ago), licensed MIT. It adds 1,910 tokens to every session, about $0.0076 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.

Related

base-building-trap-defense-design-agent-skill CLAUDE.md compared with instructions from other repositories

base-building-trap-defense-design-agent-skill CLAUDE.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
base-building-trap-defense-design-agent-skill CLAUDE.mddungnotnull/base-building-trap-defense-design-agent-skillInstructions file63mo agoMITA1,910Claude Code
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode