code-execution
Sandboxed Python code execution skill for haiku.skills using pydantic-monty.
Code runs in a minimal sandboxed interpreter with no file or network access. The sandbox exposes await llm(prompt) for LLM reasoning (classify, summarize, extract). See the SKILL.md for full sandbox limitations.
Tools
- run_code — Execute Python code in the sandbox and return the output
Installation
uv add haiku-skills-code-execution
1 maintainer
Metadata
1 maintainer
Release files for haiku-skills-code-execution 0.17.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| haiku_skills_code_execution-0.17.2.tar.gz | 3.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| haiku_skills_code_execution-0.17.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.2 kB
Release files / haiku_skills_code_execution-0.17.2.tar.gz
| Download URL | haiku_skills_code_execution-0.17.2.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.13.13
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Release files / haiku_skills_code_execution-0.17.2-py3-none-any.whl
| Download URL | haiku_skills_code_execution-0.17.2-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.13
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