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