by ashuiGordon · Codex Skill · ★ 57
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install stata-cli
npx stata-cli run "display 1+1"
Taken from the project's README on GitHub.
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.
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 | 57 |
| Forks | 4 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 74/100 |
| Last Updated | 2026-10-28 |
| Created | 2026-05-11 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~16k |
stata-cli The agent-native Stata CLI for empirical research 中文版 | English An agent-native command-line interface for Stata via PyStata. Let Codex, Claude Code, Cursor, and other AI coding agents run files, inspect datasets, retrieve econometric results as JSON, and export graphs from the terminal. A persistent daemon keeps repeated analyses fast.
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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: