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Automatically draft research papers with benchmarking and auto-rating for faster research writing.
The material indicates this is an open-source, prompt-only research-paper writing skill with no required secrets, no declared remote endpoints, and no evident local code execution or data exfiltration capability; overall it appears low risk. The main uncertainties are the missing README, undeclared license, and unknown maintenance status, so the repository contents should still be verified before use.
The material explicitly states there are no required keys or environment variables, and the description says no API keys or LLM SDKs are needed; there is no sign of credential collection, storage, or misuse.
No remote endpoints are declared, and the system flags it as prompt-only; based on the available material, there is no factual indication of sending user data to external services or unknown hosts.
The available material does not show that this skill starts local processes, executes scripts, or invokes system capabilities; as a prompt-only skill, it does not itself demonstrate code-execution privileges.
No filesystem, database, or local resource read/write capability is described, and no data-access permissions beyond the stated paper-writing purpose are requested; there is no sign of overbroad access in the material.
The source is an open-source GitHub repository, making it auditable, and it has about 564 stars, which provides some community trust; these factors materially lower supply-chain risk. However, the missing README, undeclared license, and unknown maintenance status create minor transparency gaps.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PaperOrchestra" yet — see the docs or source repo.
Based on my research topic, 'Using multi-agent methods to improve code generation evaluation,' automatically generate a paper draft with abstract, introduction, methods, experiments, results, discussion, and reference placeholders, and list the data and experiment details I still need to provide.
A complete paper draft plus a checklist of missing information to fill in.
I already have a paper draft. Using coding-agent experiment results, benchmark performance, and auto-rater feedback, rewrite the experiments and results sections to highlight strengths, failure cases, and key conclusions while keeping an academic writing style.
Revised experiments and results sections reflecting evaluation data and analytical conclusions.
Design an executable PaperOrchestra paper-writing workflow for Claude Code, Cursor, or Aider. Specify each step's inputs and outputs, role division, rating stages, and final paper assembly, without requiring API keys or LLM SDKs.
A practical automated paper-writing workflow tailored to coding agents.
Equip any AI model with open-source research and engineering skills.
Detects AI-writing risk in papers and suggests rewrites to reduce detection.
Turn paper text into publication-ready LaTeX/TikZ academic figures automatically.
Generate, search, and maintain codebase documentation for faster team development.
Automate ML research, review loops, and experiments with any LLM agent.
Search papers, submit manuscripts, and manage peer review workflows.