by flonat · Agent Tool · ★ 116
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git clone https://github.com/flonat/claude-research.gitTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: reads agent memory. 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.
| Stars | 116 |
| Forks | 20 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-11 |
| Created | 2026-02-20 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
Claude Code for an Academic Researcher Made by a humble PhD student. A complete Claude Code infrastructure for researchers — skills, agents, hooks, and rules for academic workflows. Built for researchers who write papers in LaTeX, manage bibliographies, run experiments, and want AI assistance that understands academic conventions. Works on macOS, Linux, and Windows.
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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: