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在 OpenClaw 中安装
/install jane-street-puzzle-archivist
功能描述
Use when solving, organizing, or reviewing Jane Street monthly puzzles, especially when bootstrapping a new puzzle month, comparing against prior public solu...
使用说明 (SKILL.md)
Jane Street Puzzle Archivist
Use this skill to keep Jane Street puzzle work reproducible, archived, and reusable.
When to Use
- A new monthly Jane Street puzzle is live.
- An existing month needs solver cleanup, answer submission, or better notes.
- You need to compare the current puzzle with prior public solution repos.
- You want to turn puzzle-solving experience into reusable scripts, docs, or skills.
Workflow
- Run
python3 scripts/current_puzzle.pyto inspect the live puzzle metadata. - If it is a new month, run
python3 scripts/current_puzzle.py --initand work insidepuzzles/YYYY/YYYY-MM-slug/. - Refresh the reference index with
python3 scripts/index_reference_repos.py. - Read:
references/reference-repos.mdreferences/solving-patterns.md
- Solve the puzzle with a reproducible script stored in the month folder.
- Record the answer and submission status in that month's
README.mdandsubmission.json. - If you learned a reusable technique, update this skill or the repo knowledge files before finishing.
Required structure
- Each puzzle lives under
puzzles/YYYY/YYYY-MM-slug/. - Keep the puzzle asset, solver, notes, metadata, and submission record together.
- Do not commit
refs/or.omx/.
Publishing
- This skill can be published directly with:
clawhub publish .agents/skills/jane-street-puzzle-archivist --slug jane-street-puzzle-archivist --name "Jane Street Puzzle Archivist" --version \x3Csemver>
- If the skill changes materially, publish a new version after verifying the references still match the repo workflow.
安全使用建议
This skill is coherent, but it instructs the agent to execute local Python scripts and to write/update repository files. Before installing or running it: (1) inspect the referenced scripts (scripts/current_puzzle.py, scripts/index_reference_repos.py) to confirm they do only the expected repo tasks and do not exfiltrate data or access unrelated system files; (2) verify any submission process (where answers are sent) is explicit and trusted; (3) consider running initial operations in a sandbox or on a copy of your repo to avoid accidental commits or exposure; and (4) backup important files before letting an autonomous agent modify repository content.
功能分析
Type: OpenClaw Skill
Name: jane-street-puzzle-archivist
Version: 0.1.0
The skill bundle provides a structured workflow for archiving, solving, and documenting Jane Street monthly puzzles. It references legitimate community repositories (e.g., flameworks/JaneStreetPuzzles) and outlines a standard local development process using Python scripts and markdown documentation (SKILL.md, README.md). No evidence of malicious intent, data exfiltration, or prompt injection was found.
能力评估
Purpose & Capability
The name/description match the SKILL.md workflow: inspecting the current puzzle, indexing reference repos, solving in month folders, and recording submissions. There are no unrelated credentials, binaries, or install steps requested.
Instruction Scope
The runtime instructions direct the agent to run local Python scripts (scripts/current_puzzle.py, scripts/index_reference_repos.py) and to read/update repository files. Those scripts are not included in the manifest shown here, so the agent will execute repository-provided code — which is expected for this workflow but means you should review those scripts before running to ensure they don't access secrets, network endpoints, or other unexpected paths.
Install Mechanism
No install spec or external downloads — instruction-only skill, so nothing is written or fetched by the skill system itself.
Credentials
The skill declares no environment variables, credentials, or config paths. There are no disproportional or unrelated secret requests.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent/privileged platform presence or attempt to modify other skills or global agent settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install jane-street-puzzle-archivist - 安装完成后，直接呼叫该 Skill 的名称或使用
/jane-street-puzzle-archivist触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
Initial release of Jane Street Puzzle Archivist.
- Provides structured workflow for solving, archiving, and submitting Jane Street monthly puzzles.
- Introduces reproducible scripts and documentation for each puzzle month.
- Establishes required folder structure and best practices for capturing solver notes and reusable patterns.
- Includes guidance for comparing puzzles against previous public solutions.
- Details publishing steps and versioning policy.
元数据
常见问题
Jane Street Puzzle Archivist 是什么？
Use when solving, organizing, or reviewing Jane Street monthly puzzles, especially when bootstrapping a new puzzle month, comparing against prior public solu... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 72 次。
如何安装 Jane Street Puzzle Archivist？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install jane-street-puzzle-archivist」即可一键安装，无需额外配置。
Jane Street Puzzle Archivist 是免费的吗？
是的，Jane Street Puzzle Archivist 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Jane Street Puzzle Archivist 支持哪些平台？
Jane Street Puzzle Archivist 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Jane Street Puzzle Archivist？
由 Mason（@aznikline）开发并维护，当前版本 v0.1.0。
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