Updated 6mo ago
by TenureAI
PhD-Zero
Autoresearch with PhD-level workflows and modular agent skills. Built for the autonomous AI Scientist.
53 GitHub stars (53)
Steady at 53 stars — no new stars in the 16 days since Sep 30.
- 9 skills (9 skills found in its SKILL.md files)
- 4 forks (4 forks)
- 6mo ago last update (Last updated 6mo ago)
Install
Skills CLI
npx skills add TenureAI/PhD-Zero
Asks which skills and agents to install. Just one: npx skills add TenureAI/PhD-Zero --skill deep-research — add -g for every project.
Claude Code
git clone https://github.com/TenureAI/PhD-Zerocp -r "PhD-Zero/.agents/skills/deep-research" ~/.claude/skills/
Copies the deep-research skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add TenureAI/PhD-Zero
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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deep-research
Deep evidence-first research with broad discovery, verification, and traceable citations. Prefer invoking via research-workflow. TRIGGER when (MANDATORY — you MUST invoke this skill, no exceptions): user message contains ANY of these keywords or synonyms — 调研/研究/对比/综述/文献/证据/机制/根因/为什么/可行性/路线图/分析/探索, or research/investigate/compare/survey/literature/evidence/mechanism/root-cause/why/feasibility/roa…
.agents/skills/deep-research/SKILL.md on GitHub (opens in a new tab) -
experiment-execution
Execute AI/ML experiments locally or remotely with environment, runtime, and logging controls. Prefer invoking via research-workflow. TRIGGER when: user asks to run/launch/start/resume/monitor a training job, evaluation, or benchmark, or a plan is ready for execution, or experiment needs rerun/recovery. DO NOT TRIGGER when: research investigation only (use deep-research), planning without executi…
.agents/skills/experiment-execution/SKILL.md on GitHub (opens in a new tab) -
human-checkpoint
Escalate critical decisions to a human with options, tradeoffs, and recommendation. TRIGGER when: major safety risk, high irreversible impact, large GPU spend, destructive data ops, shared-memory publication, or hard blockers requiring human approval. DO NOT TRIGGER when: routine confirmations handled by run-governor, or low-stakes reversible actions.
.agents/skills/human-checkpoint/SKILL.md on GitHub (opens in a new tab) -
memory-manager
Manage long-term AI R&D memory: retrieval, writeback, promotion, and shared export. TRIGGER when: run bootstrap, each new user turn, each execution batch, significant failure, replan, high-resource action, long-action resume, final report handoff, or compaction markers detected (Compact/压缩/Summary). DO NOT TRIGGER when: the exact same retrieval was just performed, freshness is still valid, and no…
.agents/skills/memory-manager/SKILL.md on GitHub (opens in a new tab) -
paper-writing
Write CS/AI papers with progressive disclosure. Prefer invoking via research-workflow. TRIGGER when: user explicitly asks to draft/write/revise a paper, paper section (abstract, intro, related work, method, experiments, conclusion), rebuttal, or LaTeX content. DO NOT TRIGGER when: user mentions papers but needs research/investigation (use deep-research), experiment planning (use research-plan), o…
.agents/skills/paper-writing/SKILL.md on GitHub (opens in a new tab) -
project-context
Initialize and maintain per-project runtime context (env, secrets, snapshots). Prefer invoking via research-workflow. TRIGGER when: new run needs env setup, preflight before experiment/eval, runtime fields missing (paths, API keys, GPU config, proxy), run snapshot needed, or shared-memory needs project config. DO NOT TRIGGER when: pure research (use deep-research), plan-only (use research-plan),…
.agents/skills/project-context/SKILL.md on GitHub (opens in a new tab) -
research-plan
Build execution-ready research plans, experiment proposals, and ablation designs. Prefer invoking via research-workflow. TRIGGER when: user asks for research proposal, experiment plan, ablation design, evaluation roadmap, study design, or after deep-research scoping needs conversion to actionable plan. DO NOT TRIGGER when: evidence gathering needed first (use deep-research), actual experiment lau…
.agents/skills/research-plan/SKILL.md on GitHub (opens in a new tab) -
research-workflow
PRIMARY ORCHESTRATOR — trigger this skill FIRST for any non-trivial AI R&D task. Coordinates run-governor, memory-manager, deep-research, research-plan, project-context, experiment-execution, human-checkpoint, and paper-writing. TRIGGER FIRST when: any non-trivial research task begins (analysis, debugging, reproduction, planning, evaluation, training), or context compaction detected (Compact/压缩/S…
.agents/skills/research-workflow/SKILL.md on GitHub (opens in a new tab) -
run-governor
Govern run-level execution policy: mode selection, durable run tracking, long-action watch/resume policy, stage reporting, and safety allowances. TRIGGER when: starting a non-trivial research task (set mode + run_id), switching local/remote target, creating a new run, or mode-aware policy decisions needed. DO NOT TRIGGER when: trivial single-step tasks, pure info queries, or run already initializ…
.agents/skills/run-governor/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.