Piglet Python Craftsman
v1.0.0Practical Python craftsmanship guidance based on One Python Craftsman. Use when writing, refactoring, or reviewing Python code for naming, branching, data st...
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byChojan Shang@psiace
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name and description match the provided SKILL.md and reference files: the bundle is a set of Python craftsmanship guidelines and examples. There are no unrelated requirements (no env vars, binaries, or installs) that would be out of scope for a style/review skill.
Instruction Scope
SKILL.md and the reference files are limited to code-quality guidance and do not instruct the agent to read system files, exfiltrate data, or call unknown endpoints. Some examples demonstrate network calls (requests) and file I/O — appropriate as examples of exception handling and I/O guidance — and a few example snippets contain typos/mistakes (e.g., obj.grop, missing imports) that reduce quality but do not indicate malicious intent.
Install Mechanism
No install specification and no code files to execute at install time; this is instruction-only so nothing is written to disk or downloaded during installation.
Credentials
The skill declares no required environment variables, credentials, or config paths. There is no disproportionate secret or credential access requested.
Persistence & Privilege
always is false and the skill is user-invocable (normal). It does not request persistent privileges or attempt to modify other skills or system-wide settings.
Assessment
This skill appears coherent and low-risk: it is an instruction-only Python style guide that asks for no credentials and installs nothing. Before installing, verify the publisher/source and license if provenance is important to you. When using the skill, treat any executable code it suggests as untrusted until you review it — examples include network calls (requests) and file operations, and some snippets contain typos or missing imports, so inspect and run suggested code in a safe environment or with tests rather than blindly executing it. If you want stricter automated checks, consider pairing this skill with established linters or the suggested friendly-python 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.