railguard-superagent-scan
railguard-superagent-scan is an Application security skill for AI agents, published by Netflix-Skunkworks in the railguard-skill repository on GitHub. Skillspace rates railguard-superagent-scan D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-phase security scanner using a single SuperAgent that loads all 12 rule files and covers all vulnerability domains in one pass. Lower cost alternative to the orchestrated scan. Use when asked to "superagent scan", "monoprompt scan", or "cheap security scan".
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 76
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
- 73 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 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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