reversi-master

reversi-master is a skill for Claude Code, Codex from edison7009/EchoBird. It costs 0 tokens per session (465 once invoked), scanned A, original, MIT.

A set of strategic instructions for an AI playing Reversi, a board game where players surround and flip discs on an eight-by-eight board. It prioritizes corners, stable edges, safe positions, and keeping useful moves available.

In plain words
What is it for?
Use it to guide Reversi move selection, including taking corners, avoiding dangerous squares near corners, building stable edge lines, limiting exposed discs, and preserving mobility.
Why use it?
It gives the AI a consistent way to judge moves instead of choosing them randomly or only by counting discs. The priorities help avoid positions that may give the opponent access to a corner.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to guide Reversi move selection, including taking corners, avoiding dangerous squares near corners, building stable edge lines, limiting exposed discs, and preserving mobility.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/edison7009/echobird/reversi-master
About the project

EchoBird is an installation and model-switching tool for configuring multiple AI coding agents and related desktop applications. It is intended for people who need to set up tools such as Claude Code, Codex CLI, OpenClaw, Aider, and other listed clients across different machines. The catalogue add-ons support this coding-agent setup workflow.

edison7009/EchoBird · 3,404 stars · on GitHub · echobird.ai

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 edison7009/EchoBird --skill reversi-master
Clone the repo
git clone --depth 1 https://github.com/edison7009/EchoBird

Made for: Claude Code, 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 reversi-master

README.md
[![agentmods](https://agentmods.dev/badge/skills/edison7009/echobird/reversi-master/github.svg)](https://agentmods.dev/skills/edison7009/echobird/reversi-master)
Your own site
<a href="https://agentmods.dev/skills/edison7009/echobird/reversi-master"><img src="https://agentmods.dev/badge/skills/edison7009/echobird/reversi-master/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 reversi-master

Your own site · 80×15
<a href="https://agentmods.dev/skills/edison7009/echobird/reversi-master"><img src="https://agentmods.dev/badge/skills/edison7009/echobird/reversi-master.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 465 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00000 $0.00465
Opus 5.5 $0.00000 $0.00186
Sonnet 5.5 $0.00000 $0.00093
Haiku 4.5 $0.00000 $0.00047

Measured 1mo ago against content hash 8d26ca329203, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reversi-master 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.

tools/reversi/default-skills/reversi-master/SKILL.md · 2 lines

What it actually says

---\r\nname: Reversi Master\r\ndescription: AI becomes a strong Reversi/Othello player using proven strategic principles\r\n---\r\n\r\n# Reversi Master Strategy\r\n\r\nYou are an expert Reversi (Othello) player. Follow these strategic priorities strictly when choosing your move:\r\n\r\n## Priority 1: Corners (Highest Value)\r\nCorners (0,0), (0,7), (7,0), (7,7) can NEVER be flipped. Always take a corner if available.\r\n\r\n## Priority 2: Avoid C-squares and X-squares\r\nNEVER play these dangerous positions unless no other choice:\r\n- X-squares (diagonal to corners): (1,1), (1,6), (6,1), (6,6) — these gift corners to opponent\r\n- C-squares (adjacent to corners): (0,1), (1,0), (0,6), (1,7), (6,0), (7,1), (6,7), (7,6)\r\n\r\n## Priority 3: Stable Edges\r\nEdge cells (row 0, row 7, col 0, col 7) that connect to an owned corner are very strong. Prioritize building stable edge chains.\r\n\r\n## Priority 4: Minimize Frontier\r\nPrefer moves that flip fewer pieces early game. Having fewer pieces exposed to empty squares (frontier) gives opponent fewer options.\r\n\r\n## Priority 5: Maximize Mobility\r\nChoose moves that keep YOUR number of valid moves high while reducing opponent's valid moves. Mobility is more important than piece count in mid-game.\r\n\r\n## Move Selection Algorithm\r\n1. If corner available → take it\r\n2. If edge next to owned corner → take it\r\n3. Among remaining moves, avoid X-squares and C-squares\r\n4. Prefer edges over center\r\n5. Among equal moves, prefer the one that flips fewer pieces (early/mid game) or more pieces (endgame when board >75% full)\r\n

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 · 2 lines · 0 tokens per session scan A 8d26ca329203

Subscribe to this mod's changes

reversi-master is a skill published in the GitHub repository edison7009/EchoBird (3,404 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 465 tokens. 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.

Related

Other skills, from other repositories

game-build

Build a risk-matched whitebox or the approved production game for its target runtime. Turn GAMEDESIGN, and ARTDIRECTION when production begins, into a minimal BUILDBRIEF and a runnable candidate that can be iterated with replayable evidence. Use for prototype the riskiest design question, implement the approved game…

zenstory-ai/novel-to-game · 151 tokens

novel-game-analyze

Deconstruct a novel for game adaptation. Compress a raw novel, deconstruction library, or writing project into a SOURCEBIBLE with cited textual evidence, extracting world rules, player verbs, spaces, character will, systems, and visual anchors — without inventing a genre yet. Use for gameable book analysis, analyze a…

zenstory-ai/novel-to-game · 157 tokens

novel-to-game

Turn a novel into a fully playable game on the selected target platform. Orchestrates the whole adaptation pipeline — requirements intake, gameable deconstruction, concept selection, world and visual design, target-runtime build, and evidence-based QA — for a novel in any language. Use for novel to game, story to…

zenstory-ai/novel-to-game · 201 tokens

game-concept

Design game concepts from a novel. From SOURCEBIBLE and PRODUCTBRIEF, compare meaningful alternatives on the dimensions still unlocked, then select a playable direction using hard vetoes and explicit trade-offs. Use for what game should this novel become, compare game concepts, choose a game direction for this book…

zenstory-ai/novel-to-game · 139 tokens

3dgs-compression-deploy

3DGS compression-to-deployment pipeline: quantization (scalar/VQ/mixed-precision), pruning (coreset/adaptive/variational/merge/Bayesian), progressive streaming & LoD, Web/WebGPU/mobile deployment, hardware acceleration (Tensor Core/GEMM/FPGA/ASIC), training-free semantic compression. Covers 53+ methods across 6…

jaccen/Awesome-Gaussian-Skills · 145 tokens

figma-use

MANDATORY prerequisite — you MUST invoke this skill BEFORE every usefigma tool call. NEVER call usefigma directly without loading this skill first. Skipping it causes common, hard-to-debug failures. Trigger whenever the user wants to perform a write action or a unique read action that requires JavaScript execution in…

Devin-AXIS/iPolloWork · 114 tokens