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beita6969 / Subagents

ScienceClaw

Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions.

  • 1k estrellas
  • 109 forks
  • 10 issues abiertos
  • Lenguaje: TypeScript
  • Licencia: MIT
  • actualizado

Instalación

Terminal
git clone https://github.com/beita6969/ScienceClaw && cp ScienceClaw/*.md ~/.claude/agents/
  1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
  2. Start a new Claude Code session to load the agents.
  3. Delegate work to them with the Task/Agent tool or by name.
Items instalables

24 items en este repositorio

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.

Instalar

Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.

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# Academic Literature Search — 学术文献检索与引用管理

Instalar

Route plain-language requests for Pi, Claude Code, Codex, OpenCode, Gemini CLI, or ACP harness work into either OpenClaw ACP runtime sessions or direct acpx-driven sessions ("telephone game" flow). For coding-agent thread requests, read this skill first, then use only `sessions_spawn` for thread creation.

Instalar

Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks OpenClaw to add a note, list notes, search notes, or manage note folders.

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Manage Apple Reminders via remindctl CLI (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.

Instalar

Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.

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Search and retrieve preprints from arXiv via the Atom API. Use this skill when searching for papers in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering, or economics by keywords, authors, arXiv IDs, date ranges, or categories.

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Search arXiv for preprints in physics, math, CS, quantitative biology, quantitative finance, statistics, electrical engineering, economics. Use when: (1) finding preprints by topic, (2) searching by author, (3) browsing arXiv categories, (4) getting paper metadata/abstracts. NOT for: published journal articles (use crossref-search), biomedical (use pubmed-search).

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Screen papers for systematic reviews using ASReview active learning. Use when: user has a large set of papers to screen for inclusion/exclusion, wants to prioritize relevant papers, or needs to reduce manual screening workload. NOT for: searching papers (use literature-search) or meta-analysis (use meta-analysis).

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Analyzes astronomical observations and cosmological models including telescope data processing, celestial mechanics calculations, stellar evolution, galaxy classification, and cosmological parameter estimation; trigger when users discuss stars, galaxies, exoplanets, dark matter, or the universe's large-scale structure.

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Astronomical computations via Astropy. Use when: user asks about celestial coordinates, FITS files, or cosmological calculations. NOT for: telescope control or real-time observation planning.

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Create, search, and manage Bear notes via grizzly CLI.

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Performs bioinformatics analyses including pathway enrichment, gene ontology analysis, protein-protein interaction networks, multi-omics integration, and biological sequence database querying; trigger when users discuss gene sets, biological pathways, functional annotation, or omics data integration.

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Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

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Bioinformatics operations via Biopython. Use when: user asks about DNA/protein sequences, BLAST, or PDB structures. NOT for: clinical genomics or variant calling pipelines.

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Search bioRxiv biology preprints with natural language queries. Semantic search powered by Valyu.

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Performs biostatistical analyses specialized for clinical and biomedical research including survival analysis, Kaplan-Meier estimation, Cox proportional hazards regression, longitudinal data modeling, and diagnostic test evaluation; trigger when users discuss clinical outcomes, survival curves, or biomedical study statistics.

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Monitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI.

Instalar
blucliSkill

BluOS CLI (blu) for discovery, playback, grouping, and volume.

Instalar

Use when you need to send or manage iMessages via BlueBubbles (recommended iMessage integration). Calls go through the generic message tool with channel="bluebubbles".

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You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

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camsnapSkill

Capture frames or clips from RTSP/ONVIF cameras.

Instalar
canvasSkill
Instalar
README

Resumen de Subagents

README no disponible. Visita el repo en GitHub para la documentación completa.
Topics
aiai-agentbioinformaticsliterature-reviewllmmcpmeta-analysisopenclawpubmedresearchresearch-toolssciencescientific-researchself-evolving
Preguntas frecuentes

Lo que la gente pregunta sobre ScienceClaw

¿Qué es beita6969/ScienceClaw?

beita6969/ScienceClaw es subagents para el ecosistema de Claude AI. Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions. Tiene 1k estrellas en GitHub y su última actualización registrada es del 2026-10-16.

¿Cómo se instala ScienceClaw?

Puedes instalar ScienceClaw clonando el repositorio (https://github.com/beita6969/ScienceClaw) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar beita6969/ScienceClaw?

Nuestro agente de seguridad ha analizado beita6969/ScienceClaw y le ha asignado un Trust Score de 97/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene beita6969/ScienceClaw?

beita6969/ScienceClaw es mantenido por beita6969. La última actividad registrada en GitHub es del 2026-10-16, con 10 issues abiertos.

¿Hay alternativas a ScienceClaw?

Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.