serenity
serenity is an Investment analysis & markets skill for AI agents, published by zongmin-yu in the serenity-skills repository on GitHub. Skillspace rates serenity D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Activates AI infrastructure and semiconductor supply chain analysis. Trigger when: tracing hyperscaler AI capex to find bottleneck companies, analyzing semiconductor/photonics/memory/packaging supply chains, mapping BOM dependencies for AI hardware (GPUs, TPUs, ASICs, optical interconnects, HBM), evaluating supplier concentration in chip materials or critical components, asking "who controls the critical input for AI buildout," or identifying small companies that trillion-dollar AI deployments depend on. Even if the user does not mention "Serenity," proactively trigger when the topic involves AI infrastructure supply chain analysis, semiconductor bottleneck mapping, or upstream supplier tracing for AI hardware.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 33
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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