PaperOrchestra
An automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.
No outside reports on file
Use this tool only for drafting, experimentation, and learning—never publish AI-generated papers as your own work without substantial human review, fact-checking, and disclosure of AI involvement.
Based on public adoption and transparency signals as of Oct 27, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (Ar9av/PaperOrchestra)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/Ar9av/PaperOrchestra ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-27.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About PaperOrchestra
PaperOrchestra is a tool that uses AI coding agents (like Claude, Cursor, or Cline) to automatically write research papers from start to finish. It creates papers by breaking down the writing task into smaller steps and uses built-in checking systems to rate paper quality without needing API keys or software development kits.
Who it’s for
Researchers, students, or developers who want to experiment with AI-assisted academic writing workflows. It's designed for people comfortable using coding agents and who want to avoid setting up API authentication.
Alternatives
- Scholarcy: Browser-based tool that summarizes academic papers using AI
- Elicit: AI research assistant focused on finding and summarizing relevant papers
- Consensus: Search engine that uses AI to extract findings from peer-reviewed studies
- Standard academic writing tools with AI plugins: Microsoft Word, Google Docs, or Overleaf with AI assistant add-ons
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README for installation instructions, as the setup likely depends on which coding agent you choose to use (Claude Code, Cursor, Cline, or Aider) and how you want to configure it.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 694
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Coding agent access: The tool runs through a coding agent, which may have broad file system access to read and write documents on your computer
- Unverified content generation: AI-written papers may contain fabricated citations, false claims, or plausible-sounding but incorrect information that could spread if published
- No input validation: Papers are generated based on your prompts; misleading or biased input instructions could produce problematic academic content
- Dependency trust: Relies on third-party coding agents (Claude, Cursor, Cline, Aider); compromised versions could modify or exfiltrate generated papers
- No built-in plagiarism detection: Generated content might accidentally match existing work or training data without your awareness
How to lower the risk
Least-privilege permissions
- Run the coding agent in a sandboxed or isolated environment if possible
- Limit file system access to a dedicated project folder only
Network isolation
- Check which coding agent you use and whether it sends data to external servers
- Review the tool's actual network behavior before running it on sensitive research
Monitoring
- Review all generated paper content before any use or sharing
- Keep logs of which AI prompts and settings produced which outputs
Red flags to watch for
- Papers with citations you cannot verify or that seem fabricated
- Unusual writing patterns or technical errors that suggest AI hallucination
- Unexpected file modifications outside your project folder
Questions
How do I install PaperOrchestra?
PaperOrchestra does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Ar9av/PaperOrchestra.
Are there security reports about PaperOrchestra?
No reports found for this package in our research (last checked 2026-10-30). PaperOrchestra currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include coding agent access, unverified content generation, no input validation.
Is PaperOrchestra actively maintained?
PaperOrchestra has 694 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/Ar9av/PaperOrchestra before pinning it in production.
What are alternatives to PaperOrchestra?
Notable alternatives to PaperOrchestra include Scholarcy (Browser-based tool that summarizes academic papers using AI), Elicit (AI research assistant focused on finding and summarizing relevant papers), Consensus (Search engine that uses AI to extract findings from peer-reviewed studies), Standard academic writing tools with AI plugins (Microsoft Word, Google Docs, or Overleaf with AI assistant add-ons). You can also compare PaperOrchestra side by side with other skills in the Related tools section on this page.
README badge and team notes
Maintain or use PaperOrchestra? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/ar9av-paperorchestra)HTML embed:
<a href="https://agentarmorhq.com/skills/ar9av-paperorchestra"><img src="https://agentarmorhq.com/api/badge/ar9av-paperorchestra" alt="AgentArmorHQ Risk Grade for PaperOrchestra" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "ar9av-paperorchestra"Share with your security lead
Need sign-off to use PaperOrchestra? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: PaperOrchestra
- **Listing URL:** https://agentarmorhq.com/skills/ar9av-paperorchestra
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 694 GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (Ar9av/PaperOrchestra)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Ar9av/PaperOrchestra
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 27, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- AI agent skill
- Publisher
- Ar9av
- Source code
- github.com/Ar9av/PaperOrchestra
- Est. context load
- ~87 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 694 GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-27
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