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Rock Paper Scissors Lizard Spock Game

v1.0.0

Play the classic Rock Paper Scissors Lizard Spock game (popularized by The Big Bang Theory) with an AI opponent. Includes both decorated terminal and interac...

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byAM@akhmittra
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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high confidence
✓
Purpose & Capability
Name/description match the requested resources and behavior: python3 and the 'rich' package are appropriate for a decorated terminal Python game; the skill also offers an HTML artifact (GUI) which requires no extra credentials. No unrelated services, binaries, or secrets are requested.
✓
Instruction Scope
SKILL.md instructs the agent to generate Python script(s) and an HTML artifact, run the terminal game, and read/write a stats file at ~/.rpsls_stats.json. These actions are coherent with the skill's stated functionality. There are no instructions to read unrelated system files, exfiltrate data, or call external endpoints.
✓
Install Mechanism
This is an instruction-only skill with no install spec and no downloads. It only references installing a PyPI package ('rich') via pip, which is proportionate. No archive downloads, custom binaries, or third-party installers are requested.
✓
Credentials
The skill requests no environment variables or credentials. The only environment interaction is reading/writing a per-user stats file (~/.rpsls_stats.json) and suggesting FORCE_COLOR or checking $TERM for color troubleshooting — all appropriate for a terminal game.
ℹ
Persistence & Privilege
The skill will create files (generated Python scripts, optional HTML artifact) and persist game stats to ~/.rpsls_stats.json in the user's home directory. This is expected for persistent game state, but users should be aware that generated code will be written to disk and should be reviewed before execution.
Assessment
This skill appears to be what it claims: a local Python game that may generate rpsls_terminal.py (and optional HTML) and will save stats to ~/.rpsls_stats.json. Before running: (1) review any generated Python/HTML files to confirm their contents; (2) install the 'rich' Python package from a trusted environment or virtualenv (the SKILL.md suggests pip with --break-system-packages — prefer using a venv or pip user install to avoid altering system packages); (3) be aware the skill writes a small JSON stats file to your home directory; if you prefer isolation, run the generated game inside a container or VM. No credentials or network access are requested by the skill.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

Binspython3

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