Manuscript Statistics Audit
Yuan1z0825/nature-skills
Audits or rewrites the statistical reporting in a manuscript: experimental units, replication, tests, uncertainty and figure legends, without inventing missing details.
This skill should be used when the user asks to "analyze experimental results", "generate results section", "statistical analysis of experiments", "compare model performance", "create results…
Install Inno Experiment Analysis
$ npx skills add OpenLAIR/dr-claw --skill inno-experiment-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenLAIR/dr-claw inno-experiment-analysis --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/OpenLAIR/dr-claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/inno-experiment-analysis .claude/skills/inno-experiment-analysis && 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 "inno-experiment-analysis" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-experiment-analysis into .claude/skills/inno-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-experiment-analysis", 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/OpenLAIR/dr-claw/tree/main/skills/inno-experiment-analysisType 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 OpenLAIR/dr-claw --skill inno-experiment-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenLAIR/dr-claw inno-experiment-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/inno-experiment-analysis .agents/skills/inno-experiment-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "inno-experiment-analysis" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-experiment-analysis into .agents/skills/inno-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-experiment-analysis", 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 OpenLAIR/dr-claw --skill inno-experiment-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenLAIR/dr-claw inno-experiment-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/inno-experiment-analysis .cursor/skills/inno-experiment-analysis && 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 "inno-experiment-analysis" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-experiment-analysis into .cursor/skills/inno-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-experiment-analysis", 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/OpenLAIR/dr-claw.git --path skills/inno-experiment-analysis--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 OpenLAIR/dr-claw --skill inno-experiment-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenLAIR/dr-claw inno-experiment-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/inno-experiment-analysis .gemini/skills/inno-experiment-analysis && 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 "inno-experiment-analysis" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-experiment-analysis into .gemini/skills/inno-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-experiment-analysis", 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 OpenLAIR/dr-claw inno-experiment-analysisInstalls 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 OpenLAIR/dr-claw --skill inno-experiment-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/inno-experiment-analysis .github/skills/inno-experiment-analysis && 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 "inno-experiment-analysis" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-experiment-analysis into .github/skills/inno-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-experiment-analysis", 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 OpenLAIR/dr-claw --skill inno-experiment-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenLAIR/dr-claw inno-experiment-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/inno-experiment-analysis .opencode/skills/inno-experiment-analysis && 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 "inno-experiment-analysis" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-experiment-analysis into .opencode/skills/inno-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-experiment-analysis", 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
inno-experiment-analysis- GitHub stars
- 1.2k
- Token cost
- ~2.5k tokens
- SKILL.md length
- 906 words
- Files
- 8 (incl. references)
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
This skill should be used when the user asks to "analyze experimental results", "generate results section", "statistical analysis of experiments", "compare model performance", "create results…
- Works in 6 steps: Data Loading and Validation → Statistical Analysis → Model Performance Comparison → …
- Asks to analyze experimental results
- SKILL.md covers Core Features, When to Use, Workflow and Common Mistakes and Pitfalls, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Inno Experiment Analysis is an agent skill from OpenLAIR/dr-claw. This skill should be used when the user asks to "analyze experimental results", "generate results section", "statistical analysis of experiments", "compare model performance", "create results visualization", or mentions connecting experimental data to paper writing. Provides comprehensive guidance for analyzing ML/AI experimental results and generating paper-ready content.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `USAGE.md`, `examples/example-analysis-report.md` and `examples/example-results-section.md`).
It sits in Data & Analytics, covering Statistics and Scientific writing. The repository describes itself as: A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.
When your agent uses it
- Asks to analyze experimental results
- Generate results section
- Statistical analysis of experiments
- Compare model performance
Example prompts
- “analyze experimental results”
- “generate results section”
- “statistical analysis of experiments”
- “/inno-experiment-analysis”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Data Loading and Validation
- Statistical Analysis
- Model Performance Comparison
- Visualization
- Writing the Results Section
- Quality Check
What it can do on your machine
Read from SKILL.md and the folder at commit d51b64e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
nature.comscience.orgneurips.cc
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
Inno Experiment Analysis loads about 2.5k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 906 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 passed
The automated check found no risky patterns in SKILL.md.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 906 words (~2,505 tokens).
“A systematic experimental results analysis workflow connecting experimental data to paper writing.”
- name
- inno-experiment-analysis
- tags
- Research, Analysis, Statistics, Visualization, Paper Writing
- version
- 0.1.0
Files
SKILL.md and 7 other files (references) in skills/inno-experiment-analysis of OpenLAIR/dr-claw.
- SKILL.md
- USAGE.md
- examples/example-analysis-report.md
- examples/example-results-section.md
- references/common-pitfalls.md
- references/results-writing-guide.md
- references/statistical-methods.md
- references/visualization-best-practices.md
Open the folder on GitHubat commit d51b64e
Compare with similar skills
Inno Experiment Analysis 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 |
|---|---|---|---|---|---|---|
| Inno Experiment Analysis this skillOpenLAIR/dr-claw | 1.2k | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| Manuscript Statistics AuditYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Scientific Figure MakingChenLiu-1996/figures4papers | 8.3k | — | ~557 | Automated safety check: Pass | Custom licence | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Manuscript Writing Reviewlabarba/sciwrite | 852 | — | ~2.4k | Automated safety check: Pass | CC-BY-4.0 | |
| Statistical Data Analysislingzhi227/agent-research-skills | 390 | — | ~886 | Automated safety check: Pass | None |
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Related
Categories
Questions about Inno Experiment Analysis
What does Inno Experiment Analysis do?
This skill should be used when the user asks to "analyze experimental results", "generate results section", "statistical analysis of experiments", "compare model performance", "create results…. Inno Experiment Analysis is an agent skill from OpenLAIR/dr-claw. This skill should be used when the user asks to "analyze experimental results", "generate results section", "statistical analysis of experiments", "compare model performance", "create results visualization", or mentions connecting experimental data to paper writing.
When should I use Inno Experiment Analysis?
Inno Experiment Analysis fits situations like: asks to analyze experimental results; generate results section; statistical analysis of experiments; compare model performance.
How do I install Inno Experiment Analysis in Claude Code?
Run `npx skills add OpenLAIR/dr-claw --skill inno-experiment-analysis -a claude-code`. Or copy the skill folder (skills/inno-experiment-analysis in OpenLAIR/dr-claw) into .claude/skills/inno-experiment-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Inno Experiment Analysis in Codex?
Run `npx skills add OpenLAIR/dr-claw --skill inno-experiment-analysis -a codex`. Or copy the skill folder (skills/inno-experiment-analysis in OpenLAIR/dr-claw) into .agents/skills/inno-experiment-analysis in your project. Codex loads it when a task matches its description.
Can I use Inno Experiment Analysis 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 OpenLAIR/dr-claw --skill inno-experiment-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/inno-experiment-analysis, .gemini/skills/inno-experiment-analysis, .github/skills/inno-experiment-analysis and .opencode/skills/inno-experiment-analysis in your project.
What does Inno Experiment Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Inno Experiment Analysis is instructions for the agent only. Our summary lists: Python 3.
Does Inno Experiment Analysis access the network?
SKILL.md names 3 domains. As links in the text: nature.com, science.org and neurips.cc. This is read from the text; nothing was executed.
Is Inno Experiment Analysis safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Inno Experiment Analysis use?
Inno Experiment Analysis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Inno Experiment Analysis use?
About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 11k tokens, read only when the agent opens those files.
What are the alternatives to Inno Experiment Analysis?
Skills that share tags, products or a category with Inno Experiment Analysis: Manuscript Statistics Audit (Yuan1z0825/nature-skills, 47k stars), Scientific Figure Making (ChenLiu-1996/figures4papers, 8.3k stars), Statistical Power (spacering-net/codeg, 3.9k stars) and Manuscript Writing Review (labarba/sciwrite, 852 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Inno Experiment Analysis?
OpenLAIR (a GitHub organization) maintains it in OpenLAIR/dr-claw, which has 1,155 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on September 17, 2026.
Source: OpenLAIR/dr-claw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.