ai4s-research

18 mods across 3 repositories, 3.6k stars between them.

my-skill

01

ai4s-research/open-science

Skill Claude CodeCodex

A test skill that says hello. Use when you want to test skill loading or verify that the skill system is working.

1.5k 3d ago A 28 tokens

ai4s-research/open-science

Instructions file CodexOpenCode

AGENTS.md instructions for ai4s-research/open-science, covering open science desktop, design principles, what this project is, repository map and architecture guardrails.

1.5k 3d ago A 815 tokens

ai4s-research/open-science

Instructions file

Claude Code instructions for ai4s-research/open-science, a project described as: Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.

1.5k 3d ago A 3 tokens

verify

04

ai4s-research/open-science

Skill Claude CodeCodex

Verify apps/desktop frontend changes visually without launching the Tauri app or a live model.

1.5k 3d ago A 19 tokens

domain-check

05

ai4s-research/open-science

Skill Claude CodeCodex

Use whenever you write or run scientific analysis code (physics, earth/geo, biology, chemistry, or social science) in this workspace — before executing it and again after generating results. Runs a deterministic domain-correctness gate that catches code which runs but is scientifically wrong (unit/dimension mismatch…

1.5k 3d ago B 114 tokens

large-file

06

ai4s-research/open-science

Skill Claude CodeCodex

Use BEFORE reading any data file that could be large (CSV/TSV, Parquet, HDF5, FITS, NetCDF, NDJSON, genomics FASTQ/FASTA/VCF/BAM, GRIB, ROOT, or big text/simulation logs like VASP OUTCAR). Returns a compact memory pointer — header/schema/shape/sample/key numbers — by introspection and sampling in bounded memory, so…

1.5k 3d ago A 115 tokens

modal-run

07

ai4s-research/open-science

Skill Claude CodeCodex

Use when the user asks to run heavy or GPU work on Modal (the cloud compute platform) — writing a Modal function in the workspace, running it with the user's own modal CLI + token, and bringing results back. Data-to-compute for jobs too big for the laptop, without a Slurm cluster.

1.5k 3d ago A 67 tokens

publication-figures

08

ai4s-research/open-science

Skill Claude CodeCodex

Use whenever you generate or review a chart, plot, table, or paper figure in this workspace, including work delegated by paper-writing, literature-survey, and experiment skills. Applies the Open Science publication style, enforces readable final-size layout for figures and tables, and rejects generic diagram-tool…

1.5k 3d ago A 90 tokens

remote-compute

09

ai4s-research/open-science

Skill Claude CodeCodex

Use when the user asks to run, submit, monitor, or cancel a job on a remote machine over SSH — their own GPU/CPU server, a workstation, or a Slurm cluster ("the cluster", a login node, "my 3090 box", "the compute server"). Picks a saved machine, runs the work directly over SSH (or via Slurm when present), tracks it…

1.5k 3d ago A 93 tokens

stats-integrity

10

ai4s-research/open-science

Skill Claude CodeCodex

Use whenever you run statistical analysis for the social sciences (regression, hypothesis tests, econometrics) or read Stata (.dta) / SPSS (.sav) data in this workspace. Enforces an execute-don't-interpret boundary (surface estimates, don't volunteer causal claims), checks the analysis against a preregistration plan…

1.5k 3d ago B 105 tokens

traceability-review

11

ai4s-research/open-science

Skill Claude CodeCodex

Use when the user asks to review, verify, or audit a report, manuscript, or analysis in the workspace for traceability — resolving citations, flagging numbers with no source, and checking figures against the code that generated them. Emits a structured review block the app renders as reviewer findings. Verifies…

1.5k 3d ago A 72 tokens

ai4s-agent

12

ai4s-research/ai4s-skills

Skill Claude CodeCodex

Use when the user wants an end-to-end AI4S research pipeline — broad direction or specific topic in, full research package out (exploration + literature survey + experiment + paper). Meta-skill that chains the four downstream skills in order. Pure markdown, no Python runtime.

196 1mo ago A 61 tokens original MIT

experiment-suite

13

ai4s-research/ai4s-skills

Skill Claude CodeCodex

Use when the user has a research question and needs a complete experiment package — design document, runnable code, results (measured or simulated with honest provenance), publication-grade figures, structured report. Single-stage, no Python runtime.

196 1mo ago A 48 tokens original MIT

integrity-auditor

14

ai4s-research/ai4s-skills

Skill Claude CodeCodex

Use when the user wants a paper audited for integrity issues — image misuse, numerical anomalies, logical gaps — and needs a reviewable evidence report. Works on external papers (PDF / DOI / arXiv) and on outputs from a local paper-writer run. Single-stage skill.

196 1mo ago A 63 tokens original MIT

literature-survey

15

ai4s-research/ai4s-skills

Skill Claude CodeCodex

Use when the user wants a comprehensive literature survey on a specific research topic. Outputs a complete PDF survey (6–20 pages, 60+ real citations, 100+ recommended) with LaTeX source, topic-specific publication figures, and a classified literature table. Single-stage, no Python runtime.

196 1mo ago A 66 tokens original MIT

mindmap-render

16

ai4s-research/ai4s-skills

Skill Claude CodeCodex

Generate beautiful, high-resolution mindmaps from Markdown unordered lists. Outputs interactive HTML, HD PNG, and PDF with colorful branch themes.

196 1mo ago A 30 tokens original MIT

paper-writer

17

ai4s-research/ai4s-skills

Skill Claude CodeCodex

Use when the user wants a complete, publication-grade research paper on a specific topic — produces 200+ real citations, 4–8 publication-grade figures, and 7 sections of substantive prose compiled to PDF in one pass. No skeleton stage.

196 1mo ago A 54 tokens original MIT

research-explorer

18

ai4s-research/ai4s-skills

Skill Claude CodeCodex

Use when the user has a vague research direction and wants to explore feasible specific topics. Outputs a structured analysis with candidate topics, innovation/feasibility scoring, and a pre-survey of 20–30 representative works. Single-stage, no Python runtime.

196 1mo ago A 56 tokens original MIT