my skill -names

Connect to TigerGraph distributed graph database to query, load, and manage large-scale knowledge graph data using GSQL and REST++ APIs

This package claims to be a production TigerGraph connector but has several red flags: the source/publisher is unknown and the registry name doesn't match the internal project name; documentation advertises a real connector while the included Python file uses simulated/mock methods rather than performing real network operations; and the skill describes needing an API token/credentials but none are declared in the registry metadata. Before installing or giving credentials: (1) ask the publisher for provenance and a proper homepage/repo; (2) review the Python code yourself—note that run_query currently calls a mock method that returns dummy results; (3) do not provide API tokens or passwords until you confirm the skill actually uses a legitimate TigerGraph client and communicates with expected endpoints; (4) if you still want to test it, run it in an isolated environment and avoid exposing production credentials; (5) request or require an update that either implements real client calls (with clear dependency instructions) or explicitly documents that the current implementation is a stub/mock.

Type: OpenClaw Skill Name: testing-kggggg123 Version: 1.0.0 The TigerGraph Connector skill bundle is a legitimate and well-documented integration for interacting with TigerGraph databases. The Python implementation in `scripts/tigergraph_connector.py` provides a structured interface for GSQL queries and graph operations using standard libraries and safe coding practices. The documentation in `SKILL.md` and `README.md` is comprehensive, providing clear instructions and examples for graph data management without any indicators of malicious intent, data exfiltration, or prompt injection vulnerabilities.