real-time-guardrails
real-time-guardrails is an Agent security & guardrails skill for AI agents, published by ibm-self-serve-assets in the building-blocks repository on GitHub. Skillspace rates real-time-guardrails C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Add IBM watsonx.governance-backed runtime safety and quality guardrails to AI/RAG agents. Use when shipping LLM apps to production, designing 4-choke-point Pass/Flag/Block pipelines (input → retrieval → generation → output), picking metric sets from the 28-metric catalog, wiring guardrails into FastAPI / Flask / LangChain / watsonx Orchestrate, authoring custom LLM-as-judge metrics, building compliance audit logs, integrating chat widgets with backend proxies, or tuning per-tenant threshold policies. Covers Python library, REST sidecar, and MCP tool deployment modes.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.