cold-start

cold-start is a Cloud platforms skill for AI agents, published by serithemage in the serverless-openclaw repository on GitHub. Skillspace rates cold-start D (68/100) and it passed the safety scan; the rating is based on static analysis only.

References cold start optimization history and techniques. Covers Docker image optimization, Fargate CPU tuning, SOCI lazy loading, and Lambda Bedrock discovery fix. Use when optimizing startup performance.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
191

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.

View source on GitHubserithemage/serverless-openclaw

Our review

Architecture
99 / 100
Maturity
Basic: a single SKILL.md
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

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