Agent skill

Analyze Heterogeneity

by yogsoth-ai in yogsoth-ai/de-anthropocentric-research-engine

Identify clinical, methodological, and statistical heterogeneity sources and prioritize subgroup/meta-regression/outlier investigation.

Apache-2.0Auto-check passedResearch & Science

Install Analyze Heterogeneity

skills CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-heterogeneity -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine analyze-heterogeneity --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-heterogeneity .claude/skills/analyze-heterogeneity && rm -rf skills-src

Use ~/.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/

Facts

Skill name
analyze-heterogeneity
GitHub stars
505
Token cost
~446 tokens
SKILL.md length
136 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

Identify clinical, methodological, and statistical heterogeneity sources and prioritize subgroup/meta-regression/outlier investigation.

  • Works in 4 steps: Group records by declared design,… → Compare effect or performance patterns… → Identify plausible moderators, outliers,… → …
  • Research & Science work in your project
  • SKILL.md covers Purpose, Input contract, Procedure and Output contract, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Analyze Heterogeneity is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Identify clinical, methodological, and statistical heterogeneity sources and prioritize subgroup/meta-regression/outlier investigation.

Its SKILL.md is about 450 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: 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

  • Research & Science work in your project

Example prompts

  • “/analyze-heterogeneity”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Group records by declared design, population, intervention, outcome, and condition dimensions.
  2. Compare effect or performance patterns within and across groups.
  3. Identify plausible moderators, outliers, and confounding condition differences.
  4. Prioritize subgroup or meta-regression investigations and record uncertainty.

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 Heterogeneity loads about 446 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 136 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~446

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). 136 words, ~446 tokens.

Download SKILL.mdSave it as .claude/skills/analyze-heterogeneity/SKILL.md (or your agent's skills folder).
name
analyze-heterogeneity
description
Identify clinical, methodological, and statistical heterogeneity sources and prioritize subgroup/meta-regression/outlier investigation.

analyze-heterogeneity

Purpose

Identify clinical, methodological, and statistical heterogeneity sources and prioritize subgroup, meta-regression, or outlier investigation.

Input contract

yaml
required: [evidence_records, outcome_schema, comparison_context]
optional: [covariate_schema, effect_estimates, subgroup_hypotheses]
constraints: [heterogeneity claims require record-level conditions and provenance]

Procedure

  1. Group records by declared design, population, intervention, outcome, and condition dimensions.
  2. Compare effect or performance patterns within and across groups.
  3. Identify plausible moderators, outliers, and confounding condition differences.
  4. Prioritize subgroup or meta-regression investigations and record uncertainty.

If unexplained variation may reflect selective reporting rather than substantive moderators, consider assess-publication-bias as the next tactic.

Output contract

yaml
produces: [heterogeneity_sources, moderator_candidates, outlier_list, investigation_priorities]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

  • Each heterogeneity source must point to affected records and a comparison dimension.
  • Do not infer a moderator from a single discrepant record without an uncertainty marker.

Failure and counterexamples

Do not label ordinary measurement noise as a causal subgroup effect, and do not pool records whose condition vectors are incomparable.

Provenance map

  • resolved: heterogeneity-source-analysis
  • resolved: heterogeneity-investigation

© 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-heterogeneity of yogsoth-ai/de-anthropocentric-research-engine.

Open the folder on GitHubat commit bdb3524

Compare with similar skills

Analyze Heterogeneity 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.

Analyze Heterogeneity compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyze Heterogeneity this skillyogsoth-ai/de-anthropocentric-research-engine505—~446Automated safety check: PassApache-2.0
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

Similar skills

  • Hypothesis Generation

    spacering-net/codeg

    Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.

    3.9k GitHub starsUsed in 14 repos~3.6k tokens
    Research & ScienceAuto-check: notes
  • 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.

    84k GitHub starsUsed in 4 repos~1.3k tokens
    Research & ScienceAuto-check passed
  • Nature Paper Card

    Yuan1z0825/nature-skills

    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.

    47k GitHub starsUsed in 2 repos~2.1k tokens
    Research & ScienceAuto-check passed
  • 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.

    1.9k GitHub starsUsed in 25 repos~3.5k tokens
    Research & ScienceAuto-check passed
  • Last30days

    mvanhorn/last30days-skill

    Research what people actually say about any topic in the last 30 days.

    64k GitHub stars~7.9k tokensUpdated today
    Research & ScienceAuto-check: notes
  • Peer Review

    spacering-net/codeg

    Structured manuscript/grant review with checklist-based evaluation.

    3.9k GitHub starsUsed in 17 repos~5.9k tokens
    Research & ScienceAuto-check: notes

More from yogsoth-ai/de-anthropocentric-research-engine

All 12 skills in this repo
  • Evaluate Scenario Impact

    yogsoth-ai/de-anthropocentric-research-engine

    Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.

    505 GitHub stars~465 tokensUpdated 11 days ago
    Auto-check passed
  • Evaluate Scenario Robustness

    yogsoth-ai/de-anthropocentric-research-engine

    Aggregate a candidate, strategy, or portfolio across explicit scenarios under a declared robust-decision rule such as worst-case score, minimax regret, maximin, threshold survival, or pivot-trigger…

    505 GitHub stars~478 tokensUpdated 11 days ago
    Auto-check passed
  • Evaluate Optionality

    yogsoth-ai/de-anthropocentric-research-engine

    Evaluate the value of staging, deferral, reversible commitment, and information-gathering options under uncertainty; return decision-relevant option value and trigger conditions.

    505 GitHub stars~424 tokensUpdated 11 days ago
    Auto-check passed
  • Adjust Abstraction Scope

    yogsoth-ai/de-anthropocentric-research-engine

    Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system boundary) until the representation has useful…

    505 GitHub stars~584 tokensUpdated 11 days ago
    Auto-check passed
  • Adversarial Deliberation

    yogsoth-ai/de-anthropocentric-research-engine

    Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner.

    505 GitHub stars~1.3k tokensUpdated 11 days ago
    Auto-check passed
  • Aggregate Ranking

    yogsoth-ai/de-anthropocentric-research-engine

    Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.

    505 GitHub stars~561 tokensUpdated 11 days ago
    Auto-check passed

Questions about Analyze Heterogeneity

What does Analyze Heterogeneity do?

Identify clinical, methodological, and statistical heterogeneity sources and prioritize subgroup/meta-regression/outlier investigation. Analyze Heterogeneity is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Identify clinical, methodological, and statistical heterogeneity sources and prioritize subgroup/meta-regression/outlier investigation.

When should I use Analyze Heterogeneity?

Analyze Heterogeneity fits situations like: research & Science work in your project.

How do I install Analyze Heterogeneity in Claude Code?

Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-heterogeneity -a claude-code`. Or copy the skill folder (skills/analyze-heterogeneity in yogsoth-ai/de-anthropocentric-research-engine) into .claude/skills/analyze-heterogeneity in your project. Claude Code loads it when a task matches its description.

How do I install Analyze Heterogeneity in Codex?

Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-heterogeneity -a codex`. Or copy the skill folder (skills/analyze-heterogeneity in yogsoth-ai/de-anthropocentric-research-engine) into .agents/skills/analyze-heterogeneity in your project. Codex loads it when a task matches its description.

Can I use Analyze Heterogeneity 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-heterogeneity -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-heterogeneity, .gemini/skills/analyze-heterogeneity, .github/skills/analyze-heterogeneity and .opencode/skills/analyze-heterogeneity in your project.

What does Analyze Heterogeneity need to run?

SKILL.md names no scripts, command-line tools or credentials: Analyze Heterogeneity is instructions for the agent only.

Does Analyze Heterogeneity 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 Heterogeneity 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 Heterogeneity use?

Analyze Heterogeneity 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 Heterogeneity use?

About 446 tokens (SKILL.md is roughly 1.8k 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 Heterogeneity?

Skills that share tags, products or a category with Analyze Heterogeneity: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyze Heterogeneity?

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.