No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by dhvcc · Agent Tool · ★ 54
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is rss-parser safe to install? View the security audit →
rss-parser Typed, pydantic-powered RSS/Atom parsing for Python. turns RSS/Atom XML into typed pydantic models — autocomplete, validation, and clear errors instead of digging through nested dicts. Documentation At a glance [pydantic](
| Stars | 54 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 70.4746573456907/100 |
| Last Updated | 2026-08-24 |
| Created | 2020-10-03 |
| Platforms | cli, python |
| Est. Tokens | ~15k |
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rss-parser is Typed pythonic RSS/Atom parser: RSS 2.0/0.9x, Atom 1.0, RSS 1.0 (RDF) and podcasts into pydantic v2 models, plus a CLI. It is categorized as a Agent Tool with 54 GitHub stars.
rss-parser is primarily written in Python. It covers topics such as agent-skills, atom, atom-parser.
You can find installation instructions and usage details in the rss-parser GitHub repository at github.com/dhvcc/rss-parser. The project has 54 stars and 5 forks, indicating an active community.
rss-parser is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to rss-parser on Agent Skills Hub include skene, agent-skills, fcp-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: