Pnas Statistics
franklee16/academic-research-skills
A skill your agent uses to enforce PNAS's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control…
Interpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty estimates, reproducibility checks, and calibrated synthesis.
Install Analyze Experiment Results
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-experiment-results -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analyze-experiment-results --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/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyze-experiment-results .claude/skills/analyze-experiment-results && 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 "analyze-experiment-results" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analyze-experiment-results into .claude/skills/analyze-experiment-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-experiment-results", 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/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analyze-experiment-resultsType 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 yogsoth-ai/de-anthropocentric-research-engine --skill analyze-experiment-results -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analyze-experiment-results --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analyze-experiment-results .agents/skills/analyze-experiment-results && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyze-experiment-results" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analyze-experiment-results into .agents/skills/analyze-experiment-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-experiment-results", 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 yogsoth-ai/de-anthropocentric-research-engine --skill analyze-experiment-results -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analyze-experiment-results --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analyze-experiment-results .cursor/skills/analyze-experiment-results && 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 "analyze-experiment-results" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analyze-experiment-results into .cursor/skills/analyze-experiment-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-experiment-results", 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/yogsoth-ai/de-anthropocentric-research-engine.git --path skills/analyze-experiment-results--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 yogsoth-ai/de-anthropocentric-research-engine --skill analyze-experiment-results -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analyze-experiment-results --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analyze-experiment-results .gemini/skills/analyze-experiment-results && 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 "analyze-experiment-results" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analyze-experiment-results into .gemini/skills/analyze-experiment-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-experiment-results", 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 yogsoth-ai/de-anthropocentric-research-engine analyze-experiment-resultsInstalls 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 yogsoth-ai/de-anthropocentric-research-engine --skill analyze-experiment-results -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analyze-experiment-results .github/skills/analyze-experiment-results && 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 "analyze-experiment-results" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analyze-experiment-results into .github/skills/analyze-experiment-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-experiment-results", 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 yogsoth-ai/de-anthropocentric-research-engine --skill analyze-experiment-results -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analyze-experiment-results --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analyze-experiment-results .opencode/skills/analyze-experiment-results && 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 "analyze-experiment-results" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/analyze-experiment-results into .opencode/skills/analyze-experiment-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-experiment-results", 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
analyze-experiment-results- GitHub stars
- 505
- Token cost
- ~732 tokens
- SKILL.md length
- 250 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Interpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty estimates, reproducibility checks, and calibrated synthesis.
- Works in 2 steps: You MUST load skill statistical-testing… → You MUST load skill…
- Tasks that involve Statistics
- SKILL.md covers Purpose, Input contract, Execution protocol and Output contract, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Analyze Experiment Results is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Interpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty estimates, reproducibility checks, and calibrated synthesis.
Its SKILL.md is about 730 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 Data & Analytics, covering Statistics and Reproducible research. The repository describes itself as: A 267-skill research graph in pure markdown — 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Statistics
- Tasks that involve Reproducible research
Example prompts
- “/analyze-experiment-results”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- You MUST load skill statistical-testing to run the preregistered statistical tests and retain effect uncertainty.
- You MUST load skill verify-reproducibility to verify the declared reproduction level.
What it can do on your machine
Read from SKILL.md and the folder at commit bdb3524. 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 yaml).
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
Analyze Experiment Results loads about 732 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 250 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
The full file from yogsoth-ai/de-anthropocentric-research-engine at commit bdb3524, republished under its Apache-2.0 licence (© yogsoth-ai). 250 words, ~732 tokens.
Download SKILL.mdSave it as
.claude/skills/analyze-experiment-results/SKILL.md (or your agent's skills folder).- name
- analyze-experiment-results
- description
- Interpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty estimates, reproducibility checks, and calibrated synthesis.
analyze-experiment-results
Purpose
Interpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty estimates, reproducibility checks, and calibrated synthesis.
Input contract
required: [experiment_results, predeclared_analysis_plan, reproducibility_target]
optional: [assumptions, prior_findings, evidence_updates]
constraints: [consume named scientific objects; preserve provenance; keep unresolved uncertainty visible]Execution protocol
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
- You MUST load skill
statistical-testingto run the preregistered statistical tests and retain effect uncertainty. - You MUST load skill
verify-reproducibilityto verify the declared reproduction level. If the results must be assembled into claims, evidence, and counterclaims, considerconstruct-argument-map. If several interventions or methods require comparative selection, considerrank-candidates.
Deviation: reorder only when a dependency is already satisfied or unavailable; record the reason and confidence effect.
Output contract
produces: [effect_estimates, uncertainty_summary, reproducibility_assessment, interpretation]
delta_fields: [uncertainties]Thresholds and quality gates
- Each output is traceable to an input object, operation, and evidence reference.
- Scope, assumptions, and unresolved alternatives remain explicit.
- Retain $\alpha$ 0.05 and power 0.8 wherever the predeclared statistical design requires them.
Failure and counterexamples
Stop synthesis when a required object is absent, a precondition is violated, or a counterexample invalidates the proposed conclusion; return the partial delta with the failure recorded.
Provenance map
- intermediate: experiment-execution/result-analysis [strategy]
- resolved: result-validation-loop
- resolved: statistical-testing
- resolved: reproducibility-verification
- resolved: execution-synthesis
- resolved: result-collection
Preserved source criteria ledger
| source | criterion | treatment |
|---|---|---|
| resolved v3 entries above | node-specific criteria | retained and specialized to the v4 object contract |
| experiment-execution/statistical-testing | $\alpha$ = 0.05 | fixed value retained where applicable |
| experiment-execution/sample-size-estimation | power = 0.8 | fixed value retained where applicable |
Context checkpoint / Delta notes
Return the node-specific research-state delta and preserve findings, evidence updates, uncertainties, decisions, open questions, and recommended jumps as applicable.
© yogsoth-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/analyze-experiment-results of yogsoth-ai/de-anthropocentric-research-engine.
Open the folder on GitHubat commit bdb3524
Compare with similar skills
Analyze Experiment Results 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 |
|---|---|---|---|---|---|---|
| Analyze Experiment Results this skillyogsoth-ai/de-anthropocentric-research-engine | 505 | — | ~732 | Automated safety check: Pass | Apache-2.0 | |
| Pnas Statisticsfranklee16/academic-research-skills | 223 | 1 repos | ~1k | Automated safety check: Pass | None | |
| Sci Statisticsfranklee16/academic-research-skills | 223 | 1 repos | ~862 | Automated safety check: Pass | None | |
| Pnasnexus Statisticsbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Experiment AgentImbad0202/experiment-agent | 199 | — | ~3.1k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Scientific Toolkit SkillzLanqing/codex-claude-academic-skills | 4.7k | — | ~1.2k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Analyze Experiment Results
What does Analyze Experiment Results do?
Interpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty estimates, reproducibility checks, and calibrated synthesis. Analyze Experiment Results is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Interpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty estimates, reproducibility checks, and calibrated synthesis.
When should I use Analyze Experiment Results?
Analyze Experiment Results fits situations like: tasks that involve Statistics; tasks that involve Reproducible research.
How do I install Analyze Experiment Results in Claude Code?
Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-experiment-results -a claude-code`. Or copy the skill folder (skills/analyze-experiment-results in yogsoth-ai/de-anthropocentric-research-engine) into .claude/skills/analyze-experiment-results in your project. Claude Code loads it when a task matches its description.
How do I install Analyze Experiment Results in Codex?
Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-experiment-results -a codex`. Or copy the skill folder (skills/analyze-experiment-results in yogsoth-ai/de-anthropocentric-research-engine) into .agents/skills/analyze-experiment-results in your project. Codex loads it when a task matches its description.
Can I use Analyze Experiment Results 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 yogsoth-ai/de-anthropocentric-research-engine --skill analyze-experiment-results -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze-experiment-results, .gemini/skills/analyze-experiment-results, .github/skills/analyze-experiment-results and .opencode/skills/analyze-experiment-results in your project.
What does Analyze Experiment Results need to run?
SKILL.md names no scripts, command-line tools or credentials: Analyze Experiment Results is instructions for the agent only.
Does Analyze Experiment Results 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 Analyze Experiment Results 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 Analyze Experiment Results use?
Analyze Experiment Results is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Analyze Experiment Results use?
About 732 tokens (SKILL.md is roughly 2.9k 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 Analyze Experiment Results?
Skills that share tags, products or a category with Analyze Experiment Results: Pnas Statistics (franklee16/academic-research-skills, 223 stars), Sci Statistics (franklee16/academic-research-skills, 223 stars), Pnasnexus Statistics (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Experiment Agent (Imbad0202/experiment-agent, 199 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analyze Experiment Results?
yogsoth-ai (a GitHub organization) maintains it in yogsoth-ai/de-anthropocentric-research-engine, which has 505 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 29, 2026.
Source: yogsoth-ai/de-anthropocentric-research-engine on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.