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 aelf-hzz780 · Claude Skill · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AI-bounty-skill safe to install? View the security audit →
AI Bounty Claim Skill 中文 Quick Start Send the prompt below to your AI. Replace the email placeholder with your own email first, and do not use an exchange or custodial address. Prompt for Your AI This public repository contains a single skill for claiming the AI bounty on the mainnet sidechain through . For AA/CA, the standard wallet claim path is . Repository Design The repository uses a single entry skill plus focused branch references so weaker agents can follow one route at a time. SKILL.md: account choice, routing rules, hard stops, and shared defaults references/flows/: branch-specific step-by-step instructions references/examples/: branch-specific examples for weaker models Supported Claim Paths This skill supports only the current public claim paths: : : Routing Branches Account choice and onboarding Portkey AA/CA claim EOA claim Diagnostics and stop Shared Ru
| Stars | 69 |
| Forks | 5 |
| Category | Claude Skill |
| Quality Score | 61.3545690428706/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-31 |
| Created | 2026-03-11 |
| Platforms | claude-code, codex |
| Est. Tokens | ~10k |
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AI-bounty-skill is Public Codex skill for claiming AI bounty on aelf tDVV via RewardClaimContract, supporting EOA Claim() and Portkey CA ClaimByPortkeyToCa().. It is categorized as a Claude Skill with 69 GitHub stars.
You can find installation instructions and usage details in the AI-bounty-skill GitHub repository at github.com/aelf-hzz780/AI-bounty-skill. The project has 69 stars and 5 forks, indicating an active community.
The top alternatives to AI-bounty-skill on Agent Skills Hub include aelf-skills, skills, bria-skill. 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: