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run-jinx

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포크106

업데이트2026년 4월 19일 14:48

Execute a jinx by name (already loaded on the team) or by filesystem path (e.g. a freshly created_jinx that isn't yet registered), passing input values as a JSON object. Returns the jinx's output field or the full context dict. Use this to run a jinx you just wrote without exiting the session.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

NPC-Worldwide

NPC-Worldwide/npcpy

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

run_jinx

Inputs

jinx_ref
input_values (default: '{}')

Steps

execute → execute.py

Usage

/run_jinx jinx_ref=run_jinx input_values={"jinx_ref": "<value>", "input_values": "{}"}

이 저장소의 다른 Skills

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NPC-Worldwide/npcpy

Skill for searching and evolving the SQLite-backed Knowledge Graph. Use this when you need structured fact/concept/link search across one or more teams, NPCs, or directory scopes. The Knowledge Graph (KG) is stored in the application's database (not YAML). It is scoped by (team_name, npc_name, directory_path). Facts and concepts carry generation numbers and origin tags. Search methods (choose the right one): 1. Keyword search — fast substring match over fact statements. `kg_search_facts(engine_or_kg, "keyword")` → List[str] 2. Embedding search — semantic cosine similarity via vector embeddings. `kg_embedding_search(engine_or_kg, query="...", embedding_model="nomic-embed-text", embedding_provider="ollama", similarity_threshold=0.6, max_results=20)` → List[dict] with 'content', 'type', 'score' 3. Link search — graph traversal (BFS/DFS) starting from keyword-matched seeds. `kg_link_search(engine_or_kg, query="...", max_depth=2, breadth_per_step=5, strategy="bfs", max_results=20)` → List[

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create-jinx

NPC-Worldwide/npcpy

Write a new .jinx file from inputs (name, description, inputs spec as JSON list of strings, python body). Agents use this mid-task to crystallize a repeated block of code into a reusable jinx. The jinx is written to the team's jinxes/lib dir by default and registered with the running team so it is immediately callable without a restart.

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name	run_jinx
description	Execute a jinx by name (already loaded on the team) or by filesystem path (e.g. a freshly created_jinx that isn't yet registered), passing input values as a JSON object. Returns the jinx's output field or the full context dict. Use this to run a jinx you just wrote without exiting the session.

run_jinx

Inputs

jinx_ref
input_values (default: '{}')

Steps

execute → execute.py

Usage

/run_jinx jinx_ref=run_jinx input_values={"jinx_ref": "<value>", "input_values": "{}"}