Pitch Amplifier

Turn a vague reporting clue, observation, or topic hunch into a deeper news pitch by extracting entities, retrieving 1-2 hop context from a city knowledge gr...

Before installing or running this skill: 1) Inspect or locate the expected projects/city-knowledge-graph directory and the graph_db/core module the script imports — verify the SQLite DB (projects/.../graph_db/city_graph.db) does not contain sensitive data you don't want read. 2) Be aware the script will call an LLM if you set OPENAI_API_KEY or GLM_API_KEY; only provide keys you trust and consider running without keys to avoid network calls. 3) Ensure Python dependencies (networkx, openai client) are installed in a controlled environment; run the script in an isolated VM/container if you want to limit file access. 4) Because metadata and SKILL.md omit the env vars and filesystem requirements, treat this skill as not fully documented — review the bundled graph_db core code (and any project data) to confirm there is no unexpected exfiltration or side-effect. 5) If you need higher assurance, request the author to declare required env vars, provide the graph dataset or document where it comes from, or run a code audit of graph_db and the rest of the project.

Type: OpenClaw Skill Name: pitch-amplifier Version: 1.0.0 The skill bundle is a legitimate tool designed to assist journalists in developing news pitches by querying a local city knowledge graph. The Python script (scripts/skill_pitch_amplifier.py) extracts entities from user input, retrieves related nodes from a SQLite-based NetworkX graph, and generates a structured report using an LLM (OpenAI or Zhipu AI). The code logic is consistent with the documentation in SKILL.md, and there are no signs of data exfiltration, unauthorized execution, or malicious prompt injection.