claude-for-researchers: Practical guide and toolkit for physicists and mathematicians using Claude Code

by Mexregkan · Agent Tool · ★ 50

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

academicai-toolsclaude-codelatexllmmathematicamathematicsphysicsprompt-engineeringresearch

Quick Facts

Stars50
Forks4
LanguageShell
CategoryAgent Tool
LicenseMIT
Quality Score67/100
Last Updated2026-09-03
Created2026-06-05
Platformsclaude-code, cli
Est. Tokens~23k

About claude-for-researchers

Claude for Researchers A practical guide and toolkit for researchers — especially physicists and mathematicians — who want to use Claude Code productively on long, technically demanding projects. This guide is written from real experience running a months-long mathematical research project with Claude Code, not a weekend experiment.

Compatible Skills

These tools work well together with claude-for-researchers for enhanced workflows:

  • phd-skills — semantic(0.15)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • Rstack — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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