rag-security
rag-security is an Agent security & guardrails skill for AI agents, published by thejefflarson in the soundcheck repository on GitHub. Skillspace rates rag-security F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Detects RAG pipelines that ingest external documents into LLM context without sanitization or trust gating. Use when building RAG pipelines, ingesting external documents into vector stores, or retrieving content from external sources to include in LLM context. Also invoke when writing code that fetches URLs or parses documents for LLM prompts.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 20
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.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- exfiltration language
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.