post-deployment-monitor
post-deployment-monitor is an Observability & incident response skill for AI agents, published by razorpay in the trino-gateway repository on GitHub. Skillspace rates post-deployment-monitor 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.
Monitor Kubernetes deployments post-release by analyzing code changes and checking metrics. Use when users ask to "monitor deployment", "check deployment health", "verify deployment", "analyze deployment impact", or provide a deployment name with namespace and cluster. Automates deployment image comparison, code diff analysis, repository skill loading, flow impact analysis, and Grafana metrics validation. Generates comprehensive health reports with risk assessment.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 31
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.
Our review
- Architecture
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- base64 decode (possible obfuscation)
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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