# Praxist Scientific Research

Gather task-agnostic scientific research context for Praxist task projects using no-key...

- Repository: https://github.com/sapientinc/PRAXIST (5536 stars)
- Category: Data and ML
- License: see repository
- Last updated: 2026-09-23
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add sapientinc/PRAXIST --skill praxist-scientific-research -g -a claude-code -y`
Codex: `npx skills add sapientinc/PRAXIST --skill praxist-scientific-research -g -a codex -y`
Cursor: `npx skills add sapientinc/PRAXIST --skill praxist-scientific-research -g -a cursor -y`
Gemini CLI: `npx skills add sapientinc/PRAXIST --skill praxist-scientific-research -g -a gemini-cli -y`

## Description

Gather task-agnostic scientific research context for Praxist task projects using no-key public literature/database/open-access lookup, agent-host web search when available, local project documents, and source/provenance notes. Use when an agent needs to identify domain metrics, benchmarks, prior art, scientific databases, open-access provenance, high-value research directions, or literature-backed hypotheses for a Praxist task without starting a run, changing Praxist core logic, or treating literature as measured task performance.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Praxist Scientific Research

Use this skill to build a source-backed research context for a Praxist task
project. This is a planning and context-gathering skill, not an experiment
runner.

## Boundaries

- Do not start, stop, resume, or mutate a Praxist run.
- Do not edit Praxist core or generic plugins.
- Do not require additional API keys. Prefer public no-key sources and Codex web
  search when available.
- Do not treat papers, database entries, blog posts, benchmark pages, or
  open-access text as measured task performance.
- Do not download datasets, checkpoints, simulators, packages, licensed assets,
  or new runtime environments just because a source mentions them. Use those
  sources to improve the best solution possible under the task's current local
  data, simulator, dependencies, evaluator, hardware, and runtime. Record
  missing resources only as task-local notes or user-facing requirements.
- Keep domain-specific search policy and conclusions in the task project,
  usually under `assets/literature/`, `description.md`, role skills, or task
  prompt files.

## Source Priority

1. Local project docs, papers, README files, benchmark docs, existing logs, and
   task-owned `assets/literature/`.
2. Public no-key literature/database tools when `tool_server:literature_lookup`
   is available in the standard or task-declared Praxist tool set.
3. Agent-host web search/open web browsing for official benchmark pages, dataset
   cards, standards, methods, and recent papers.
4. Optional credentialed or licensed sources only when the user explicitly
   provides them and the task requires them.

## Workflow

The rest: https://github.com/sapientinc/PRAXIST/blob/HEAD/skills/praxist-scientific-research/SKILL.md