ghostscope-e2e-runner
ghostscope-e2e-runner is an Integration & environment testing skill for AI agents, published by swananan in the ghostscope repository on GitHub. Skillspace rates ghostscope-e2e-runner C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Run GhostScope e2e through the project runner service API, including explicit topology runs, with direct topology-aware `cargo test` only as a fallback when the runner is unavailable. Use when the user asks to execute e2e tests, run a specific test case, run tests for a specific repo path, diagnose e2e failures, handle sudo or permission issues around eBPF test execution, or run container-topology e2e scenarios.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 187
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- GPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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