joylarkin
from GitHub
测试与安全
- 📄 index.json
- 📄 LICENSE
- 📄 never_add.csv
[](https://oathe.ai/report/joylarkin/openclaw-security-news)
TobiasBlask
from GitHub
开发与编程
Activate when the user needs to generate, refine, or evaluate academic figures, diagrams, or statistical plots. Uses PaperBanana (paperbanana MCP server) to transform text descriptions or data files into publication-quality illustrations. Supports methodology diagrams, statistical plots, and comparative evaluation. --- > **Orchestration Log**: When this skill is activated, append a log entry to `outputs/orchestration_log.md`: > ``` > ### Skill Activation: Figure Engine > **Timestamp:** [current date/time] > **Actor:** AI Agent (figure-engine) > **Input:** [brief description of the figure request] > **Output:** [brief description of what was produced — e.g., "Generated methodology diagram (fig03_methodology.png), 3 iterations"] > ``` # Figure Engine ## Core Principle Academic papers need professional figures. This skill eliminates manual design work by using PaperBanana to generate publication-quality diagrams and plots from text descriptions or data files. Claude should produce ACTUAL FIGURES, not describe what to draw. > **Based on:** Zhu, D., Meng, R., Song, Y., Wei, X., Li, S., Pfister, T., & Yoon, J. (2026). > *PaperBanana: Automating Academic Illustration for AI Scientists.* [arXiv:2601.23265](https://arxiv.org/abs/2601.23265). > The pipeline uses a 5-agent, 2-phase architecture: Retriever → Planner → Stylist (Phase 1: planning), > then Visualizer ↔ Critic iterative refinement (Phase 2: generation) with VLM-as-Judge evaluation. > MCP integration via [`llmsresearch/paperbanana`](https://github.com/llmsresearch/paperbanana). > Official research repo: [`dwzhu-pku/PaperBanana`](https://github.com/dwzhu-pku/PaperBanana). ## Prerequisites The **paperbanana MCP server** must be running. It requires: - `pip install paperbanana[mcp,google]` - A `GOOGLE_API_KEY` in a `.env` file in the project root (get a free key at https://aistudio.google.com/apikey) The MCP server is configured in `plugin.json` and starts automatically. It loads the Google API key from `.env` in the p