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 ProjectOpenSea · Agent Tool · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is opensea-skill safe to install? View the security audit →
OpenSea Skills Agent Skills for interacting with OpenSea: query NFT and token data, trade on the Seaport marketplace, swap ERC20 tokens, and build AI agent tools with onchain gating. This repository follows the Agent Skills specification. Decision tree Pick the right skill in one question: Skills Query NFT and token data via the OpenSea CLI, MCP server, or shell scripts. Collections, NFTs, tokens, search, drops, events, and account lookups. Auth: environment variable Setup: Get a key at opensea.io/settings/developer or instantly via API Entry point: Buy and sell NFTs on the Seaport protocol. Create listings and offers, fulfill orders, cross-chain purchases, and sweep multiple listings. Auth: + wallet provider credentials Entry point: op
| Stars | 51 |
| Forks | 14 |
| Language | Shell |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.7760725523614/100 |
| Last Updated | 2026-09-30 |
| Created | 2026-01-31 |
| Platforms | cli |
| Est. Tokens | ~11k |
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opensea-skill is Agent skill for interacting with OpenSea. It is categorized as a Agent Tool with 51 GitHub stars.
opensea-skill is primarily written in Shell.
You can find installation instructions and usage details in the opensea-skill GitHub repository at github.com/ProjectOpenSea/opensea-skill. The project has 51 stars and 14 forks, indicating an active community.
opensea-skill is released under the MIT license, making it free to use and modify according to the license terms.
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: