by heliohq · Claude Skill · ★ 93
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add heliohq/ship
/plugin install ship@heliohqTaken 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 | 93 |
| Forks | 7 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68/100 |
| Last Updated | 2026-07-04 |
| Created | 2026-03-25 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~12k |
Ship: AI-Powered Software Development Harness An agentic development harness for Claude Code, Codex & Cursor: agent-routed workflows from raw requirement to green PR. Ship helps agents choose and run the right amount of software delivery process: one standalone phase, a grouped quality/build bundle, or the full raw-input-to-green-PR flow. How It Works Ship is a harness, not a copilot.
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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: