Agent skill

Performing Causal Analysis

by foryourhealth111-pixel in foryourhealth111-pixel/Vibe-Skills

Estimate causal effects from existing data. An agent skill from foryourhealth111-pixel/Vibe-Skills.

Apache-2.0Auto-check passedResearch & Science

Install Performing Causal Analysis

skills CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill performing-causal-analysis -a claude-code

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

GitHub CLI
$ gh skill install foryourhealth111-pixel/Vibe-Skills performing-causal-analysis --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/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bundled/skills/performing-causal-analysis .claude/skills/performing-causal-analysis && 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
performing-causal-analysis
GitHub stars
3.6k
Token cost
~370 tokens
SKILL.md length
115 words
Files
4
Skills in repo
81
Repo updated
First seen
Licence
Apache-2.0

At a glance

Estimate causal effects from existing data. An agent skill from foryourhealth111-pixel/Vibe-Skills.

  • Works in 4 steps: Load Data: Ensure data is in a Pandas… → Initialize Experiment: Use the… → Fit & Model: Models are fitted… → …
  • Interpreting DiD
  • SKILL.md covers Workflow, Core Methods and References
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Performing Causal Analysis is an agent skill from foryourhealth111-pixel/Vibe-Skills. Estimate causal effects from existing data. Use when fitting or interpreting DiD, ITS, synthetic control, regression discontinuity, or other treatment-effect analyses, including robustness checks and counterfactual plots. For choosing a study design before analysis, use designing-experiments instead.

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `reference/diff_in_diff.md`, `reference/interrupted_time_series.md` and `reference/synthetic_control.md`).

It sits in Research & Science, covering Econometrics and empirical research and Experimental design. The repository describes itself as: Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE. The licence is Apache-2.0.

When your agent uses it

  • Interpreting DiD
  • Synthetic control
  • Regression discontinuity
  • Other treatment-effect analyses

Example prompts

  • “/performing-causal-analysis”

Workflow steps

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

  1. Load Data: Ensure data is in a Pandas DataFrame.
  2. Initialize Experiment: Use the appropriate class (see References).
  3. Fit & Model: Models are fitted automatically upon initialization if arguments are provided.
  4. Analyze Results: Use summary(), print_coefficients(), and plot().

What it can do on your machine

Read from SKILL.md and the folder at commit ddcaa2a. 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.

    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

Performing Causal Analysis loads about 370 tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 115 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~370

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 foryourhealth111-pixel/Vibe-Skills at commit ddcaa2a, republished under its Apache-2.0 licence (© foryourhealth111-pixel). 115 words, ~370 tokens.

Download SKILL.mdSave it as .claude/skills/performing-causal-analysis/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
performing-causal-analysis
description
Estimate causal effects from existing data. Use when fitting or interpreting DiD, ITS, synthetic control, regression discontinuity, or other treatment-effect analyses, including robustness checks and counterfactual plots. For choosing a study design before analysis, use designing-experiments instead.

Performing Causal Analysis

Executes causal analysis on existing data. This skill owns model setup, treatment-effect estimation, counterfactual comparison, robustness checks, and interpretation of fitted causal results.

It does not own the earlier question of which experiment or quasi-experiment should be designed before analysis begins.

Workflow

  1. Load Data: Ensure data is in a Pandas DataFrame.
  2. Initialize Experiment: Use the appropriate class (see References).
  3. Fit & Model: Models are fitted automatically upon initialization if arguments are provided.
  4. Analyze Results: Use summary(), print_coefficients(), and plot().

Core Methods

  • experiment.summary(): Prints model summary and main results.
  • experiment.plot(): Visualizes observed vs. counterfactual.
  • experiment.print_coefficients(): Shows model coefficients.

References

Detailed usage for specific methods:

© foryourhealth111-pixel, 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

SKILL.md and 3 other files in bundled/skills/performing-causal-analysis of foryourhealth111-pixel/Vibe-Skills.

  • SKILL.md
  • reference/diff_in_diff.md
  • reference/interrupted_time_series.md
  • reference/synthetic_control.md

Open the folder on GitHubat commit ddcaa2a

Compare with similar skills

Performing Causal 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.

Performing Causal Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Performing Causal Analysis this skillforyourhealth111-pixel/Vibe-Skills3.6k—~370Automated safety check: PassApache-2.0
Causalai-analyst-lab/ai-analyst304—~1.8kAutomated safety check: PassMIT
Fin Experiment Designcsmar432/finai-research109—~4.2kAutomated safety check: PassMIT
Judea PearlK-Dense-AI/mimeo282—~1.7kAutomated safety check: PassMIT
Academic Paper Verifybrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~2.9kAutomated safety check: PassCustom licence
Jape Identification Strategyfranklee16/academic-research-skills2231 repos~707Automated safety check: PassNone

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Questions about Performing Causal Analysis

What does Performing Causal Analysis do?

Estimate causal effects from existing data. An agent skill from foryourhealth111-pixel/Vibe-Skills. Performing Causal Analysis is an agent skill from foryourhealth111-pixel/Vibe-Skills. Estimate causal effects from existing data.

When should I use Performing Causal Analysis?

Performing Causal Analysis fits situations like: interpreting DiD; synthetic control; regression discontinuity; other treatment-effect analyses.

How do I install Performing Causal Analysis in Claude Code?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill performing-causal-analysis -a claude-code`. Or copy the skill folder (bundled/skills/performing-causal-analysis in foryourhealth111-pixel/Vibe-Skills) into .claude/skills/performing-causal-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Performing Causal Analysis in Codex?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill performing-causal-analysis -a codex`. Or copy the skill folder (bundled/skills/performing-causal-analysis in foryourhealth111-pixel/Vibe-Skills) into .agents/skills/performing-causal-analysis in your project. Codex loads it when a task matches its description.

Can I use Performing Causal 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 foryourhealth111-pixel/Vibe-Skills --skill performing-causal-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/performing-causal-analysis, .gemini/skills/performing-causal-analysis, .github/skills/performing-causal-analysis and .opencode/skills/performing-causal-analysis in your project.

What does Performing Causal Analysis need to run?

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

Does Performing Causal 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 Performing Causal 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 Performing Causal Analysis use?

Performing Causal Analysis 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 Performing Causal Analysis use?

About 370 tokens (SKILL.md is roughly 1.5k 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 Performing Causal Analysis?

Skills that share tags, products or a category with Performing Causal Analysis: Causal (ai-analyst-lab/ai-analyst, 304 stars), Fin Experiment Design (csmar432/finai-research, 109 stars), Judea Pearl (K-Dense-AI/mimeo, 282 stars) and Academic Paper Verify (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Performing Causal Analysis?

foryourhealth111-pixel (a GitHub user) maintains it in foryourhealth111-pixel/Vibe-Skills, which has 3,627 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on August 31, 2026.

Source: foryourhealth111-pixel/Vibe-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.