shipyard-neo
shipyard-neo is an Agent runtime & coordination infrastructure skill for AI agents, published by AstrBotDevs in the shipyard-neo repository on GitHub. Skillspace rates shipyard-neo D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Shipyard Neo sandbox MCP tools usage guide. This skill should be used when the user needs to execute code in sandboxes, manage files in sandbox workspaces, automate browsers in sandboxes, manage execution history, or work with skill lifecycle (candidates, evaluations, releases, rollbacks) through the shipyard-neo MCP server. Triggers include requests to 'run code in a sandbox', 'create a sandbox', 'execute Python/Shell in sandbox', 'automate browser in sandbox', 'manage skills', 'check execution history', or any task involving the shipyard-neo MCP tools.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 84
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 87 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- AGPL-3.0
- Adoption
- Adopted by 1 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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