AgentStack
Sign in Publish
MCP servers Skills Toolkits Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Bioresearch Causal Inference

skill-alim430-bioresearch-agent-causal-inference · by Alim430

Run two-sample Mendelian randomization via the BioResearch Agent causal workflow (IVW estimation, leave-one-out sensitivity, scatter / funnel plots). Use when the user asks to test a causal effect between an exposure and an outcome (e.g., BMI → Type 2 Diabetes) using genetic instruments.

↗ Repository
— No reviews yet
0 installs
0 views
— view→install

Install

$ agentstack add skill-alim430-bioresearch-agent-causal-inference

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Bioresearch Causal Inference? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

BioResearch Agent — Causal Inference (MR) Skill

Capability

Runs a reproducible two-sample Mendelian randomization: GWAS summary statistics (simulated by default) → genome-wide significant SNP instruments → IVW causal estimate → leave-one-out sensitivity → scatter / funnel plots. Returns a quantitative causal estimate, not a claim.

Run

bioresearch run causal --exposure BMI --outcome "Type 2 Diabetes"

Outputs (in outputs/causal/)

  • causal_ivw_results.csv — IVW estimate, SE, p-value
  • causal_loo_results.csv — leave-one-out sensitivity
  • causal_mr_scatter.png — MR scatter plot (IVW slope labeled)
  • causal_mr_funnel.png — funnel plot
  • causal_interpretation.txt — interpretation notes

Note

This skill dispatches to the framework's causal workflow. It adds no analysis of its own; all MR statistics run in the workflow modules. By default uses simulated GWAS data (no external credentials required).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Write a review

Versions

  • v0.1.0 Imported from the upstream source.

More in Agent Skills