wangrunji0408

SinkingStarBench — AI skill for Claude Code

AI community

An LLM coding agent benchmark based on Order of the Sinking Star.

How to install SinkingStarBench

This entry records only its repository, not the path inside it, so there is no exact command to give. Open wangrunji0408/SinkingStarBench and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What SinkingStarBench does

An LLM coding agent benchmark based on *Order of the Sinking Star*.

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README

Sinking Star Bench

[中文版](README-CN.md) | English

An LLM coding agent benchmark based on *Order of the Sinking Star*, a sokoban-style puzzle game. The task: **"Beat this game. Reverse-engineering the binary is forbidden."** — infer the rules from the game's own CLI and solve all 12 levels.

Results

# Model Effort Provider Solved Time Tokens Context Tool Calls Cost
🏅 GPT-6 Astra High Codex 12/12 3 min 0.46M 31K 18 $1.02
🥈 DeepSeek v4.1 Flash High DSH 12/12 8 min 5.8M 117K 86 $0.07
🥉 Claude Fable 5.1 High CC 12/12 11 min 1.49M 70K 30 $2.94
4 Claude Opus 5 High CC 12/12 16 min 3.7M 79K 63 $3.85
5 DeepSeek v4 Pro High DSH 12/12 27 min 3.8M 98K 81 $0.08
6 GPT-5.6 Sol High Codex 12/12 40 min 5.5M 147K 34 $17.19
7 DeepSeek v4 Flash Max CC 12/12 117 min 49.3M 509K 195 $0.30
8 Kimi K3 High CC 12/12 163 min 10.2M 274K 74 $7.28
9 DeepSeek v4 Pro Preview Max CC 9/12 60 min 26.6M 234K 176 $0.41
10 Claude Fable 5 N/A CC N/A — — — — Refused

Harness: CC = Claude Code, DSH = DeepSeek Harness.

Key Observations

  • GPT-6 Astra — the fastest 12/12 and the most token-efficient: pure black-box, zero web searches, no binary introspection. Probed the public CLI, inferred the Warrior/Thief/Wizard mechanics from gameplay alone, wrote a solver, and verified every level through the official run interface (Won yes).
  • DeepSeek v4.1 Flash — pure black-box on DeepSeek Harness with the standard agent preset (write/edit/read available): zero web searches, no binary introspection. Rebuilt the game as a simulator from CLI probing, validated it by differential fuzzing (~3,900