
Auto Psynet
- Updated June 2, 2026
- Haoyu-Hu/auto-psynet
auto-psynet is a Claude Code marketplace plugin that automates PsyNet behavioral experiment lifecycles—from preregistered plans to deployable code, LLM or human pilots, analysis, and publication-ready papers—for develope
About
auto-psynet (apsy) is a Claude Code plugin that turns a raw research idea into a preregistered plan, working PsyNet experiment code, pilot runs, analysis, and a paper draft. Install with `/plugin marketplace add Haoyu-Hu/auto-psynet` then `/plugin install apsy@auto-psynet`; slash commands like `/apsy:idea`, `/apsy:build`, `/apsy:pilot`, and `/apsy:paper` walk the pipeline. Seven quality gates (G1–G7) enforce preregistration discipline, ethics checks, and human approval before real deployment. An optional MCP server exposes six deterministic tools (`apsy_status`, `apsy_doctor`, `apsy_route`, `apsy_next`, `apsy_power`, `apsy_data_quality`) for Claude Code, Cursor, or Codex. Verified against PsyNet 13.2 and Dallinger 12.2 with Redis and Postgres for local debug.
- Seven quality gates G1–G7 gate preregistration, build, pilot, deploy, and analysis transitions
- Slash commands `/apsy:idea` through `/apsy:paper` cover the full experiment lifecycle
- Optional MCP server exposes 6 engine tools for status, routing, power, and data quality
- Supports human, LLM-agent, or mixed participants on PsyNet 13.2 / Dallinger 12.2
- Ethics policy requires explicit human approval and IRB attestation at deploy gate G4
Auto Psynet by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| Last updated | June 2, 2026 |
|---|---|
| Repository | Haoyu-Hu/auto-psynet ↗ |
How do you automate PsyNet experiment pipelines with Claude?
Run `/apsy:idea` and `/apsy:build` to scaffold a PsyNet experiment with preregistered gates before LLM or human pilot deployment.
Who is it for?
Researchers and engineers building PsyNet/Dallinger behavioral experiments who want gated, reproducible automation inside Claude Code.
Skip if: Teams not using PsyNet, Dallinger, or behavioral-experiment infrastructure who only need generic coding assistance.
What you get
Preregistered plan files, PsyNet experiment.py code, pilot data exports, analysis reports, and OSF-ready paper drafts under `$APSY_PROJECT_DIR`.
- Preregistered experiment plans
- PsyNet experiment.py projects
- Analysis reports and paper drafts
By the numbers
- Enforces 7 quality gates (G1–G7) across the experiment pipeline
- Optional MCP server exposes 6 deterministic engine tools
- Verified on PsyNet 13.2 and Dallinger 12.2
Plugins in this marketplace
1 plugin - install individually after you add the marketplace.
Recommended Marketplaces
How it compares
Choose auto-psynet when the repo already targets PsyNet/Dallinger behavioral experiments and you need gated preregistration-to-paper automation rather than generic agent skills.
FAQ
What does Auto Psynet install in Claude Code?
Auto Psynet installs the `apsy` plugin via `/plugin marketplace add Haoyu-Hu/Auto Psynet` and `/plugin install apsy@Auto Psynet`. Setup commands include `/apsy:setup`, `/apsy:install` for PsyNet and Dallinger, and `/apsy:doctor` to verify the runtime.
What are the Auto Psynet quality gates?
Auto Psynet defines seven gates G1–G7 that block pipeline transitions until preregistration, code quality, pilot integrity, human deploy approval, and analysis discipline pass. Gate G4 always requires explicit human approval and IRB attestation before real human studies.