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Install in OpenClaw
/install jane-street-puzzle-archivist
Description
Use when solving, organizing, or reviewing Jane Street monthly puzzles, especially when bootstrapping a new puzzle month, comparing against prior public solu...
README (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.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install jane-street-puzzle-archivist - After installation, invoke the skill by name or use
/jane-street-puzzle-archivist - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Jane Street Puzzle Archivist?
Use when solving, organizing, or reviewing Jane Street monthly puzzles, especially when bootstrapping a new puzzle month, comparing against prior public solu... It is an AI Agent Skill for Claude Code / OpenClaw, with 72 downloads so far.
How do I install Jane Street Puzzle Archivist?
Run "/install jane-street-puzzle-archivist" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Jane Street Puzzle Archivist free?
Yes, Jane Street Puzzle Archivist is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Jane Street Puzzle Archivist support?
Jane Street Puzzle Archivist is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Jane Street Puzzle Archivist?
It is built and maintained by Mason (@aznikline); the current version is v0.1.0.
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