Experiment Readout
mohitagw15856/pm-claude-skills
Analyse a finished A/B test and write an honest results readout with real statistics.
Use before running any confirmatory analysis or looking at outcome data, when testing a hypothesis, computing a p-value, or about to claim an effect - locks predictions and decision rules before…
Install Preregistering Analysis
$ npx skills add K-Dense-AI/science-superpowers --skill preregistering-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/science-superpowers preregistering-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/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/preregistering-analysis .claude/skills/preregistering-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 "preregistering-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/preregistering-analysis into .claude/skills/preregistering-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preregistering-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/K-Dense-AI/science-superpowers/tree/main/skills/preregistering-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 K-Dense-AI/science-superpowers --skill preregistering-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/science-superpowers preregistering-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/preregistering-analysis .agents/skills/preregistering-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 "preregistering-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/preregistering-analysis into .agents/skills/preregistering-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preregistering-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 K-Dense-AI/science-superpowers --skill preregistering-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/science-superpowers preregistering-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/preregistering-analysis .cursor/skills/preregistering-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 "preregistering-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/preregistering-analysis into .cursor/skills/preregistering-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preregistering-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/K-Dense-AI/science-superpowers.git --path skills/preregistering-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 K-Dense-AI/science-superpowers --skill preregistering-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/science-superpowers preregistering-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/preregistering-analysis .gemini/skills/preregistering-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 "preregistering-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/preregistering-analysis into .gemini/skills/preregistering-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preregistering-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 K-Dense-AI/science-superpowers preregistering-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 K-Dense-AI/science-superpowers --skill preregistering-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/preregistering-analysis .github/skills/preregistering-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 "preregistering-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/preregistering-analysis into .github/skills/preregistering-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preregistering-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 K-Dense-AI/science-superpowers --skill preregistering-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 K-Dense-AI/science-superpowers preregistering-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/preregistering-analysis .opencode/skills/preregistering-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 "preregistering-analysis" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/preregistering-analysis into .opencode/skills/preregistering-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preregistering-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
preregistering-analysis- GitHub stars
- 349
- Token cost
- ~3.3k tokens
- SKILL.md length
- 1,517 words
- Files
- 3
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Use before running any confirmatory analysis or looking at outcome data, when testing a hypothesis, computing a p-value, or about to claim an effect - locks predictions and decision rules before…
- Tasks that involve Statistics
- SKILL.md covers Overview, The Iron Law, When to Use and Don't Register Over Runs That…, plus 9 more sections
- Runs Shell scripts from its folder
What it does
Preregistering Analysis is an agent skill from K-Dense-AI/science-superpowers. Use before running any confirmatory analysis or looking at outcome data, when testing a hypothesis, computing a p-value, or about to claim an effect - locks predictions and decision rules before results are seen
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `prereg.sh` and `statistical-fallacies.md`).
It sits in Data & Analytics, covering Statistics. The repository describes itself as: Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.
When your agent uses it
- Tasks that involve Statistics
Example prompts
- “/preregistering-analysis”
Requirements
- A Bash shell
What it can do on your machine
Read from SKILL.md and the folder at commit 0374bdf. 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
Ships script files (Shell), which the agent can run.
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
Preregistering Analysis loads about 3.3k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 1,517 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 1,517 words (~3,347 tokens).
“Write down the hypotheses, the exact analysis, the directional predictions, and the decision rules — and freeze them — before you look at the outcomes. Then run exactly that.”
- name
- preregistering-analysis
Files
SKILL.md and 2 other files in skills/preregistering-analysis of K-Dense-AI/science-superpowers.
- SKILL.md
- prereg.sh
- statistical-fallacies.md
Open the folder on GitHubat commit 0374bdf
Compare with similar skills
Preregistering 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 |
|---|---|---|---|---|---|---|
| Preregistering Analysis this skillK-Dense-AI/science-superpowers | 349 | — | ~3.3k | Automated safety check: Pass | Custom licence | |
| Experiment Readoutmohitagw15856/pm-claude-skills | 1.4k | — | ~1k | Automated safety check: Pass | MIT | |
| Jbes Identification Strategyfranklee16/academic-research-skills | 223 | 1 repos | ~1k | Automated safety check: Pass | None | |
| Sandbox Benchvercel/next.js | 143k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Statistical Analysisspacering-net/codeg | 3.9k | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause |
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Statistical Analysis
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Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting.
Statsmodels
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Categories
Questions about Preregistering Analysis
What does Preregistering Analysis do?
Use before running any confirmatory analysis or looking at outcome data, when testing a hypothesis, computing a p-value, or about to claim an effect - locks predictions and decision rules before…. Preregistering Analysis is an agent skill from K-Dense-AI/science-superpowers.
When should I use Preregistering Analysis?
Preregistering Analysis fits situations like: tasks that involve Statistics.
How do I install Preregistering Analysis in Claude Code?
Run `npx skills add K-Dense-AI/science-superpowers --skill preregistering-analysis -a claude-code`. Or copy the skill folder (skills/preregistering-analysis in K-Dense-AI/science-superpowers) into .claude/skills/preregistering-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Preregistering Analysis in Codex?
Run `npx skills add K-Dense-AI/science-superpowers --skill preregistering-analysis -a codex`. Or copy the skill folder (skills/preregistering-analysis in K-Dense-AI/science-superpowers) into .agents/skills/preregistering-analysis in your project. Codex loads it when a task matches its description.
Can I use Preregistering 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 K-Dense-AI/science-superpowers --skill preregistering-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/preregistering-analysis, .gemini/skills/preregistering-analysis, .github/skills/preregistering-analysis and .opencode/skills/preregistering-analysis in your project.
What does Preregistering Analysis need to run?
Going by SKILL.md and its folder, Preregistering Analysis needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
Does Preregistering Analysis 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 Preregistering 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 Preregistering Analysis use?
Preregistering 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 Preregistering Analysis use?
About 3.3k tokens (SKILL.md is roughly 13k 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 Preregistering Analysis?
Skills that share tags, products or a category with Preregistering Analysis: Experiment Readout (mohitagw15856/pm-claude-skills, 1.4k stars), Jbes Identification Strategy (franklee16/academic-research-skills, 223 stars), Sandbox Bench (vercel/next.js, 143k stars) and Statistical Analysis (spacering-net/codeg, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Preregistering Analysis?
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/science-superpowers, which has 349 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 13, 2026.
Source: K-Dense-AI/science-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.