Run Jinx (execute jinx tasks)

Trust Score 61/100

from npcpy1,362

Execute a named or local 'jinx' (script) with JSON inputs and return the output or full context — useful for testing or running small agent tasks inline.

triggers:run_jinxexecute jinxjinx_refexecute.py

GitHub SKILL.md

What it does

Provides a simple runner for 'jinx' tasks: invoke a jinx by its registered name or by filesystem path and pass input values as JSON. The skill executes the target jinx and returns either the declared output field or the entire execution context. Useful for iterative development and running ad-hoc agent tasks without leaving the session.

When to use it

Use when you want to run a small task/script (jinx) during development, test new jinxes before registering them, or execute reusable automation steps by name. Helpful for ML/NLP research workflows where experiments are scripted as jinxes.

What's included

Scripts: execute.py is present to run the jinx.
References: none in-skill.
Instructions: SKILL.md documents inputs (jinx_ref, input_values) and shows a usage example for invoking the runner. The repository provides the execution implementation.

Compatible agents

Developer and research-focused Python agents that can run repository scripts (e.g., Codex, Copilot, Python-enabled assistants).

Audit Summary

The skill references an execute.py script that is not bundled (scripts dict is empty). The SKILL.md is a minimal skeleton with frontmatter, a brief description, and one step pointing to the missing script. Without the script, the skill is non-functional. No security concerns in the visible content, but the missing script limits assessment.

Watch Out

Referenced execute.py script is not bundled — skill cannot function standalone
Only useful within the npcpy ecosystem

Notes

Minimal skill stub. The core execute.py script is missing from the bundle, making the skill non-operational. SKILL.md provides almost no guidance beyond a one-liner description and input names. Would need the actual script to assess properly.

Information

Repository: npcpy
Stars: 1,362

Trust Score

Overall61

Security92

Code Quality28

Architecture35

Usefulness22

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