railguard-benchmark
railguard-benchmark is an Application security skill for AI agents, published by Netflix-Skunkworks in the railguard-skill repository on GitHub. Skillspace rates railguard-benchmark C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Store security scan findings to SQLite and compare against answer sheets or other scan runs. Use when asked to "store findings", "save scan results", "compare against answer sheet", "benchmark scan", "compare scan runs", "how did the scan perform", "evaluate scan accuracy", "check recall", "show dashboard", "benchmark dashboard", "benchmark trends", or "leaderboard".
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 76
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
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.