railguard-unified-scan
railguard-unified-scan is an Application security skill for AI agents, published by Netflix-Skunkworks in the railguard-skill repository on GitHub. Skillspace rates railguard-unified-scan D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-phase security scanner combining file-handoff parallel FP batching with SQLite progress tracking. Phase 3 agents write findings to /tmp files and return lean stubs. merge-findings.py batches findings for parallel Phase 4 FP agents. scan-progress.py tracks phase lifecycle, agent dispatch/skip/result, and enables crash recovery. Best of both orchestrated-scan and db-updates architectures. Use when asked to "unified scan", "tracked scan", or "resilient security scan". Supports Python, JavaScript, TypeScript, Java, Go, Ruby, and PHP.
- Grade
- D
- Quality
- 63 / 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
- 67 / 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
- 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.