Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
M3 实验设计——方案检查、指标选择、对比方法、消融、显著性、误差分析. An agent skill from larbare12/paperfactory-from-idea-to-manuscript.
Install M3 Experiment
$ npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m3-experiment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install larbare12/paperfactory-from-idea-to-manuscript m3-experiment --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/larbare12/paperfactory-from-idea-to-manuscript.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/m3-experiment .claude/skills/m3-experiment && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "m3-experiment" agent skill from https://github.com/larbare12/paperfactory-from-idea-to-manuscript/tree/master/skills/m3-experiment into .claude/skills/m3-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "m3-experiment", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/larbare12/paperfactory-from-idea-to-manuscript/tree/master/skills/m3-experimentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m3-experiment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install larbare12/paperfactory-from-idea-to-manuscript m3-experiment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/larbare12/paperfactory-from-idea-to-manuscript.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/m3-experiment .agents/skills/m3-experiment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "m3-experiment" agent skill from https://github.com/larbare12/paperfactory-from-idea-to-manuscript/tree/master/skills/m3-experiment into .agents/skills/m3-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "m3-experiment", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m3-experiment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install larbare12/paperfactory-from-idea-to-manuscript m3-experiment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/larbare12/paperfactory-from-idea-to-manuscript.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/m3-experiment .cursor/skills/m3-experiment && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "m3-experiment" agent skill from https://github.com/larbare12/paperfactory-from-idea-to-manuscript/tree/master/skills/m3-experiment into .cursor/skills/m3-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "m3-experiment", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/larbare12/paperfactory-from-idea-to-manuscript.git --path skills/m3-experiment--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m3-experiment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install larbare12/paperfactory-from-idea-to-manuscript m3-experiment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/larbare12/paperfactory-from-idea-to-manuscript.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/m3-experiment .gemini/skills/m3-experiment && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "m3-experiment" agent skill from https://github.com/larbare12/paperfactory-from-idea-to-manuscript/tree/master/skills/m3-experiment into .gemini/skills/m3-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "m3-experiment", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install larbare12/paperfactory-from-idea-to-manuscript m3-experimentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m3-experiment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/larbare12/paperfactory-from-idea-to-manuscript.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/m3-experiment .github/skills/m3-experiment && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "m3-experiment" agent skill from https://github.com/larbare12/paperfactory-from-idea-to-manuscript/tree/master/skills/m3-experiment into .github/skills/m3-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "m3-experiment", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m3-experiment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install larbare12/paperfactory-from-idea-to-manuscript m3-experiment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/larbare12/paperfactory-from-idea-to-manuscript.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/m3-experiment .opencode/skills/m3-experiment && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "m3-experiment" agent skill from https://github.com/larbare12/paperfactory-from-idea-to-manuscript/tree/master/skills/m3-experiment into .opencode/skills/m3-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "m3-experiment", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
m3-experiment- GitHub stars
- 116
- Token cost
- ~1.2k tokens
- SKILL.md length
- 260 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- None found
At a glance
M3 实验设计——方案检查、指标选择、对比方法、消融、显著性、误差分析. An agent skill from larbare12/paperfactory-from-idea-to-manuscript.
- Works in 8 steps: 目标明确 → 数据集选择 → 指标设计 → …
- Research & Science work in your project
- SKILL.md covers 输入, 输出, 使用场景 and 实验设计检查清单, plus 4 more sections
- Calls jq
What it does
M3 Experiment is an agent skill from larbare12/paperfactory-from-idea-to-manuscript. M3 实验设计——方案检查、指标选择、对比方法、消融、显著性、误差分析。 消费 M2 的"对比文献(baseline)"分类作为直接输入,产出实验脚本和结果, 供 M4 篇幅分配 / M5 论证证据链 / M7 总检缺陷扫描使用。理论型论文可 跳过本模块或只做轻量化处理。任何"设计实验方案""检查实验完整性" "补充缺失实验""回应审稿人实验质疑"场景调用本 skill。
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science. The repository describes itself as: 能够实现：人提供idea，agent自动帮你生成论文.
When your agent uses it
- Research & Science work in your project
Example prompts
- “对比文献(baseline)”
- “设计实验方案”
- “检查实验完整性”
- “/m3-experiment”
Requirements
- Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Grep, Glob
Workflow steps
8 steps, taken from the step headings in SKILL.md.
- 目标明确
- 数据集选择
- 指标设计
- 对比方法确定
- 实验配置
- 消融设计
- 显著性检验
- 误差分析
What it can do on your machine
Read from SKILL.md and the folder at commit 869103c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteEditGrepGlob
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
jq
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
M3 Experiment loads about 1.2k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 260 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Write, Edit, Grep, Glob
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 260 words (~1,177 tokens).
“明确实验要验证的假设(来自 M1 idea + M2 文献缺口)。参照 reference/research/methodology_patterns.md 选择合适的研究方法论模板——系统文献综述 / 比较案例研究 / 混合方法 / 基准测试等 10 种模板各有对应的设计步骤和质量标准,根据研究问题类型用决策树匹配。”
- name
- m3-experiment
- allowed-tools
- Bash, Read, Write, Edit, Grep, Glob
Files
Just SKILL.md in skills/m3-experiment of larbare12/paperfactory-from-idea-to-manuscript.
Open the folder on GitHubat commit 869103c
Compare with similar skills
M3 Experiment next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| M3 Experiment this skilllarbare12/paperfactory-from-idea-to-manuscript | 116 | — | ~1.2k | Automated safety check: Notes | None | |
| Hypothesis Generationspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 46k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Read arXiv Paperkarpathy/nanochat | 58k | 2 repos | ~494 | Automated safety check: Pass | MIT | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT |
Similar skills
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
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Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Read arXiv Paper
karpathy/nanochat
Fetches the TeX source of an arXiv paper from its URL, reads it and writes a markdown summary tied to the nanochat project.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
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Related
Categories
Questions about M3 Experiment
What does M3 Experiment do?
M3 实验设计——方案检查、指标选择、对比方法、消融、显著性、误差分析. An agent skill from larbare12/paperfactory-from-idea-to-manuscript. M3 Experiment is an agent skill from larbare12/paperfactory-from-idea-to-manuscript.
When should I use M3 Experiment?
M3 Experiment fits situations like: research & Science work in your project.
How do I install M3 Experiment in Claude Code?
Run `npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m3-experiment -a claude-code`. Or copy the skill folder (skills/m3-experiment in larbare12/paperfactory-from-idea-to-manuscript) into .claude/skills/m3-experiment in your project. Claude Code loads it when a task matches its description.
How do I install M3 Experiment in Codex?
Run `npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m3-experiment -a codex`. Or copy the skill folder (skills/m3-experiment in larbare12/paperfactory-from-idea-to-manuscript) into .agents/skills/m3-experiment in your project. Codex loads it when a task matches its description.
Can I use M3 Experiment in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m3-experiment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/m3-experiment, .gemini/skills/m3-experiment, .github/skills/m3-experiment and .opencode/skills/m3-experiment in your project.
What does M3 Experiment need to run?
Going by SKILL.md and its folder, M3 Experiment needs the command-line tools its instructions call (jq). Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Grep, Glob.
Does M3 Experiment access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is M3 Experiment safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does M3 Experiment use?
No licence was found for M3 Experiment or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does M3 Experiment use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to M3 Experiment?
Skills that share tags, products or a category with M3 Experiment: Hypothesis Generation (spacering-net/codeg, 3.8k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars) and Read arXiv Paper (karpathy/nanochat, 58k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains M3 Experiment?
larbare12 (a GitHub user) maintains it in larbare12/paperfactory-from-idea-to-manuscript, which has 116 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on May 19, 2026.
Source: larbare12/paperfactory-from-idea-to-manuscript on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.