by parallel-web · Agent Tool · ★ 90
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/plugin marketplace add parallel-web/parallel-agent-skills
git clone https://github.com/parallel-web/parallel-agent-skills.gitTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 90 |
| Forks | 15 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63/100 |
| Open Issues | 7 |
| Last Updated | 2026-10-21 |
| Created | 2026-02-06 |
| Platforms | python |
| Est. Tokens | ~14k |
Parallel Agent Skills Agent Skills for Parallel — web search, content extraction, deep research, and data enrichment for AI coding agents. Prerequisites The tool (installed + authenticated, with a non-zero balance) is required to run the skills. The skill walks an agent through install, auth, balance, and skills install end-to-end — install the plugin/skills below, then run from your agent.
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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: